Waterloo, Ontario

How the Region of Waterloo is Doing New With Less

With Spectrum you have streaming video and real-time alerts coming back to essentially do the fieldwork from the traffic management center, and get issues cleared more quickly.” – Mark Liddell, Region of Waterloo Traffic Analyst

The Region of Waterloo is experiencing rapid growth in population and a flurry of start-up activity. An influx of new residents, combined with infrastructure development, has led to a rise in traffic complexity. Miovision worked with the city to implement Spectrum, our smart traffic signal solution, in key corridors across the city.

Spectrum is helping the Region of Waterloo utilize data to transform their traffic network. Here are a few highlights of the impact. You can read the full case study.

Instantaneous Incident Response

The Region of Waterloo now gets immediate alerts. These alerts help identify issues with roads or infrastructure. This helps to prioritize resources and alert significant changes in traffic. They can also stream video from an intersection to verify an incident.

Traffic Counts on Demand

The Region of Waterloo utilizes turning movement counts for signal time evaluation, long-range traffic modelling, and growth projections. Before Spectrum, they counts were collected about every 3 years. Spectrum dramatically changed that. They can now generate counts on-demand at many intersections and any time.

Other Key Benefits

Spectrum also provides the Region of Waterloo with other key benefits, including:

  • Providing remote visibility of the traffic network with connected intersections
  • Accelerating the planning schedule
  • Reducing data collection costs
  • Enabling engineers to focus on high-value data analysis

To learn more about Spectrum in the Region of Waterloo, check out the full case study.

Pedestrian and Bicycle Safety Prioritized by USDOT

Last September at the Pro Walk Pro Bike Pro Place Conference in Pittsburgh, Secretary of Transportation Anthony Foxx announced that the USDOT is rolling out their “Safer People, Safer Streets” initiative over the next 18 months.

We’re looking forward to the follow-up on this ground-breaking announcement at the National Bike Summit in a couple of weeks. We hear that Secretary Foxx will also be in attendance to hopefully update on the USDOT’s Safer People, Safer Streets initiative.

Miovision is also proud to be an exhibitor at this conference. If you’re in attendance, please come by and visit us where we’ll be talking about our latest EBook, Building a Bike-Friendly Chicago, How Video Data is Moving Chicago Forward.

The USDOT plan prioritizes pedestrian and bicycle safety for all 50 states

bike friendly fatalities

Read more

Case Study – TERRA Engineering Creates Competitive Traffic Data Mix

As a leader with over 20 years experience, TERRA Engineering is focused on providing a full spectrum of engineering services using effective and terra-engineering-logoinnovative processes. They wanted to implement a solution that could reduce labor costs and safely collect bicycle and pedestrian data, alongside vehicle volume and classification data. TERRA strives to obtain high customer service and accuracy standards with their innovative data collection methods. TERRA has office locations in Illinois, Missouri, and Wisconsin.


For projects that require traffic data collection, TERRA utilizes traditional counting equipment and manual counters for intersection counts and average daily traffic (ADT) counts. Both of these methods limit the results TERRA is able to obtain, specifically classifications for bicycle and pedestrian.

TERRA is often involved in the design of Complete Streets projects which incorporate all modes of transportation including vehicle, pedestrian, and bicycle traffic, providing a corridor to serve multip‐ urposes. Traditional counting equipment is costly due to the labor hours spent having field personnel collecting data on vehicle, pedestrian and bicycle usage. In order to meet their project requirements, TERRA requires a solution that will:

  • Collect traffic data such as intersection counts and road volume data with vehicle, bicycle and pedestrian classifications;
  • Allow for collection of additional useful data such as gaps in traffic;
  • Provide high data accuracy for all traffic studies, any time of day and during inclement weather;
  • Allow technicians to deploy equipment safely without entering the roadway or disrupting traffic;
  • Allow collection of data for longer, non-traditional periods of time up to several days at a time.


In working on a Complete Streets planning and design process contract for the City of Peoria, Illinois, TERRA purchased Miovision’s Scout Video Collection Units for traffic data collection. They also rented units to increase their capacity for a larger study. Using the Scout unit allowed TERRA to collect additional user data at a reasonable cost and to provide their clients with additional data to study for planning.
Not only did the Scout units provide the data they needed, TERRA also decreased study lead time while increasing data accuracy, safety and profitability. After their first study, they adopted the Scout solution for their other traffic data collection projects including a large yearly ADT contract for the State of Illinois Department of Transportation (IDOT).

In 2011, TERRA began collecting Intersection Count data at intersections and extrapolating Road Volume data from the Intersection Count reports to satisfy the needs of the IDOT contract while providing additional data. The unique solution was very well received and as a result, the Miovision Platform adopted a Road Volume reporting feature for 24-hour Intersection Counts.


Bicycle and Pedestrian Counting Capabilities

TERRA is now able to collect bicycle and pedestrian data at intersections with sidewalk facilities by using the Scout unit. Many smaller municipalities are unable to collect this data on their own due to cost and lack of resources. This data is used for planning and design, specifically in school areas. Being able to collect this data allows TERRA to provide their clients with additional and valuable information at a reasonable cost.

Bicycle and Pedestrian information is used for planning and designing a solution which incorporates multi modal transportation within a corridor, but this data is often overlooked in the planning process even though it is an important piece of a Complete Street project.

TERRA now provides real and accurate data on all modes of transportation and has a video record of existing pedestrian and bicycle activity which exists in the corridor. This video record often proves to be beneficial when presenting findings to their clients and the general public.

 Decreased Traffic Data Collection Costs by 54%

Multiple cameras were rented to collect data at numerous sites simultaneously which eliminates the need for data balancing. In one project, 21 intersections were setup with Scout solutions over a three day period. Based on a study time of eight hours at each intersection, this resulted in a 75% reduction in field technician time alone, not including the additional time that would be required for post-processing data balancing.

Efficient Data Collection Process Decreases Lead Time by 20%

Traffic data collection setup is completed in 10-15 minutes by one technician at TERRA. The Scout solution is non-intrusive and setup is done safely on the road side without requiring the technician to enter the roadway. Data collection is scheduled on the unit and once completed, it is uploaded and processed by Miovision.

Within days, traffic study reports are available on Miovision’s traffic data management Platform. They are available in various industry standard reports along with a video record of the count. This process is executed by one technician and can be completed in 20% less time than manual efforts. In turn, this creates direct cost savings.

Additional Traffic Analysis Benefit

“Many of our urban areas have complicated intersections with combinations of one-way and two-way streets, driveways, and pedestrian or bicycle facilities,” notes Lynn Moe, GIS Analyst at TERRA. “By reviewing the video and count detector locations, we can ensure that the data is collected for all the necessary movements.”

Value-Added Features of Miovision

Miovision’s online traffic data management portal provides TERRA with additional value-added features which align with their goals and those of their customers. TERRA’s previous data collection methods provided classifications that were limited to cars, medium trucks and heavy trucks. With Miovision, TERRA collects classifications for vehicles, bicyclists and pedestrians. Classifications for bicyclists and pedestrians are important to their customers where sidewalks and trails are present as well as for future planning of areas such as school zones. As the movement to provide facilities for all users continues to gain momentum throughout the US, this data becomes increasingly more valuable.

"The Miovision Scouts have revolutionized how TERRA collects, views and analyzes traffic data."

Chris Hutchinson, PE, PTOE


21 Intersections with Two People – TERRA Engineering was able to complete a 21-intersection study in Peoria, IL in three days, and with only two staff members.


Added Traffic Analysis from Video – TERRA is able to capture more information from reviewing video – like in the above example, review how many people crossed the road without pushing the crossing button.

"By reviewing the video and count detector locations, we can ensure that the data is collected for all the necessary movements."

Lynn Moe, GIS Analyst


By adopting Miovision’s Scout solution, TERRA was able to collect numerous classifications, increase their capacity and accuracy of traffic data collection while also providing customers with value added benefits, such as access to an online data management portal and videos.

Overall, TERRA achieved the following with their traffic data collection projects:

  • Ability to collect vehicle classifications and bicycle/pedestrian data
  • Ability to collect intersection data for longer non-traditional periods, up to several days at a time
  • Decreased costs by 54% or more by automating traffic data collection for turning movements
  • Decreased lead time by 20% for data collection
  • Increased visibility and accuracy of data and video collected
  • Gained additional benefits to the traffic engineering team when analyzing intersections

Case Study – Fehr & Peers Decreases Traffic Data Collection Costs by 50%

As a transportation consulting firm with 14 offices nationwide, Fehr & Peers’ core philosophy is to develop effective and innovative transportation solutions that improve communities. As they outsource their traffic data collection, they needed a solution that embodies and preserves this philosophy.  Just as important, they needed a solution that collected high quality data, provided vehicle/bicycle/pedestrian classifications, and had the ability to manage data across all 14 offices.


fehrpeersFehr & Peers is a national transportation consulting firm which is located predominantly on the West Coast. With 14 offices, Fehr & Peers works on many large scale projects involving transportation engineering, land use and transportation planning, traffic operations, forecasting, sustainability and bicycle and pedestrian planning. Their data collection requires numerous types of data including turning movement counts (TMCs) and vehicle volumes.


As a company that has existed since 1985, it was imperative for Fehr & Peers to utilize a solution that would stay true to their core philosophy while also supporting their large organizational structure and meeting the needs of their clients. They have projects and offices across the US and needed an effective method for data sharing as well as coordinating and managing traffic studies.

As it pertained to traffic data collection, Fehr & Peers has to complete traffic studies without compromising data turnaround time, cost or labour hours. Fehr & Peers also needed the ability to collect traffic data for longer periods of upwards of 24 hours, and at multiple locations simultaneously. Fehr & Peers required:

  • Data collection at any time of day and for prolonged periods;
  • Multiple locations of data collection running simultaneously;
  • Efficient data sharing across offices;
  • Streamlined data collection coordination and management.

"Utilizing many of the count vendors we currently work with for the implementation, but having Miovision staff train and provide quality assurance, gives us confidence that the quality of the data will be what we expect."

Mike Wallace, PTP


Fehr & Peers was introduced to Miovision’s Traffic Data On Demand solution at the Transportation Research Board (TRB) Annual Meeting. As an innovative industry leader, Fehr & Peers were Miovision’s first customer to utilize Traffic Data On Demand for their traffic studies and data collection.

By using Traffic Data On Demand for their TMC data collection projects, Fehr & Peers alleviated the challenges associated with managing multiple concurrent projects across widespread offices, and achieve their objectives of receiving accurate traffic data efficiently and met their project needs.


Decreased Study Turnaround Time – 60-80%

Prior to using Miovision, traffic data study turnaround time lasted several weeks, depending on the size of the project. A larger study would require about 5 weeks and a typical study about 2 weeks. By using Traffic Data On Demand, Fehr & Peers reduced the data turnaround time to just 4 days, cutting the project time by 60-80%. Receiving traffic data in a timely manner is critical to Fehr & Peers’ successful management of large engineering projects, of which data collection is only a small part. Drawn out traffic studies or receiving data late can have serious ramifications on budget and draw out project lead time.

Reduced Coordination and Management Time

Because Fehr & Peers outsources all of their traffic data collection, there is considerable time and effort spent on coordinating data collection and managing people. Larger projects require the vendor to provide more trained staff and sometimes additional individuals have to be flown to data collection locations.

Urban areas often have a higher population and therefore require 2-3 manual counters at each location due to the volume of traffic. In rural areas, additional time and cost is spent on travelling to the location and potentially spending the night depending on the duration of the traffic study.

Using Traffic Data On Demand eliminates this additional effort, and its associated costs. Fehr & Peers outline their traffic study request through the online Traffic Data On Demand portal, and the data collection is carried out by Miovision’s Partner Network.   The cost and effort of coordinating counters, travel and accommodations is eliminated. This saves time and budget, allowing Fehr & Peers to focus on other aspects of the project scope.

Decreased Costs for Traffic Data Collection – 50%

Previously, Fehr & Peers used data collection services where the prices would vary for each project depending on the project’s scope, location and volume. Studies in rural areas incurred additional costs for travel and possibly accommodations.

Traffic Data On Demand provides standardized pricing which allows Fehr & Peers to easily and consistently estimate their costs. Pricing is a set rate regardless of complexity and location of the traffic study. As the graph shows, using Traffic Data On Demand for a typical TMC intersection study instead of one data counter decreases labour costs for data collection by 15%. For a larger intersection that would normally require two counters, Traffic Data On Demand reduces costs by 35%. And for a large and complex intersection study that would typically require three counters, using Traffic Data On Demand decreases costs by 50%. These costs do not include the travel expenses that vendors require for visiting remote locations, a cost that is included in the standard Miovision pricing.

Added Value in Online Data Management and Web-Based Portal

Traffic Data On Demand allows clients to manage traffic data through Miovision’s data management portal, TrafficDataOnline.com (TDO).  Using TDO, Fehr & Peers can leverage the integrated map interface to plot and view studies, as well as share study data, across 14 offices that operate somewhat autonomously.  As some projects have the potential to overlap in location, the map interface provides a visual method to better coordinate study requests, saving time and streamlining productivity.  Traffic Data On Demand’s implementation is intuitive and offers Fehr & Peers the flexibility to efficiently manage the wide range of projects they are involved in. The ability to classify vehicles, include pedestrians and bicycles, summarize and export the data into different templates make reviewing and sharing data between projects and offices very easy.

By using TDO, Fehr & Peers now have the ability to review the intersection orientation designations and video for their traffic studies, make modifications to the data file, and summarize the findings. This has resulted in a shortened project schedule and less time in the field for data collection. The flexibility of the video data auditability; versatility of completing various traffic studies; and the interactivity of the web portal have a direct impact on the schedule and quality of data they receive. With more accurate and reliable data, Fehr & Peers is able to make better informed decisions and provide their clients with meaningful recommendations.


Figure 1: Fehr & Peers reduced their project turnaround time by 60-80% for both typical and large traffic count projects.

"Many of our urban areas have complicated intersections with combinations of one-way and two-way streets, driveways, and pedestrian or bicycle facilities. By reviewing the video and count detector locations, we can ensure that the data is collected for all the necessary movements."

Mike Wallace, PTP


FIGURE 2 : With Traffic Data On Demand’s Map interface, Fehr & Peers can efficiently plot, manage, and share study data with colleagues at any of its 14 locations.


Although Fehr & Peers had previously used manual traffic data collection firms, these firms weren’t always able to satisfy all of their project objectives. They were looking for a solution that would collect high quality data, with classifications, and gave them the means to efficiently manage data across all 14 offices.

As gained through Traffic Data On Demand, Fehr & Peers has benefited from value added features such as diverse traffic studies with classifications, highly accurate data, and a web-based portal for streamlining traffic data management across multiple offices. By utilizing Traffic Data On Demand, Fehr & Peers was able to:

  • Decrease study turnaround time by 60-80%
  • Reduce time for study coordination and staff management
  • Decrease data collection cost by up to 50%
  • Collect traffic data at multiple locations simultaneously
  • Access and share data and video from all office locations
  • Apply the value-added features from the portal


Case Study – Alfred Benesch & Company Reduce Data Collection Costs by 50%

Alfred Benesch & Company is an industry leader in transportation engineering and has completed thousands of projects throughout the United States. Benesch was seeking a technology that would expedite traffic studies, collect pedestrian counts and visually record traffic movements for auditing purposes. Ultimately, Benesch needed to improve data quality, accuracy and reliability while creating cost savings for the company and its clients.


Since 1946, Benesch has been specializing in civil and structural engineering services to clients in transportation and infrastructure development. Benesch designs complex highway interchanges, major river bridges, parking structures and structural systems for high- and low-rise buildings. The Company also conducts transportation inspections, and supervises interstate highway and railroad freight yard construction projects. Benesch has completed numerous transportation corridor studies that involved significant data collection.

Headquartered in Chicago, Illinois, Benesch operates 15 locations in nine states (Colorado, Illinois, Kansas, Michigan, Nebraska, Ohio, Pennsylvania, Tennessee and Wisconsin) and employs more than 400 people.


Like many engineering firms, Benesch manages multiple projects of varying scope. Traffic data collection is usually only one portion of a much larger project. Maximizing resources to ensure that data collection is on time is extremely important for meeting the timelines of a traffic engineering project. Being able to collect traffic data in less time with fewer personnel and budget demands also allows the company to recover resource time as a cost savings.
Several of Benesch’s data collection projects have required pedestrian counts. Having an automated solution would reduce the time it currently takes to complete manual data collection. Also, having the ability to collect traffic movements and pedestrian counts via video would provide an auditable record that could be reviewed for unusual traffic activity.

Benesch was looking for a solution that would:

  • Collect traffic studies such as turning movement counts and pedestrian counts;
  • Aggregate data in a timely manner, requiring fewer staff resources;
  • Provide video of traffic movements for auditability;

"Data collection is only part of our transportation projects. By using Miovision, we decreased our study turnaround time which is a huge benefit and ensures that our project stays on schedule."

Austin Yates, P.E., Project Engineer


Benesch has completed a wide range of traffic engineering projects that require traffic data collection including corridor studies, which examine a network of several intersections, or a single intersection for a safety improvement project. Typically this entails a two-hour, morning/evening count and sometimes midday/peak period counts. Also collected are vehicle classification counts to determine the amount of cars and the amount and type of heavy trucks. Occasionally, pedestrian counts are completed, usually in conjunction with Safe Routes to School programs.


Decreased Data Collection Time – 75%

By using Miovision’s Scout Video Collection Unit (VCU), Benesch has reduced typical study turnaround time by 3 hours or 75%. Only one person is required to deploy the Scout and it only takes a few minutes to set up and schedule traffic studies at the desired location. Once the Scout is set up, it is not necessary to have personnel on-site to complete data collection.

Since a traffic study typically requires multiple time periods in one day, an individual could set up several recordings on the Scout for one day, and then return to pick up the unit at the end of the day or even the next. The data is reported in industry-standard formats and is typically received within 72 hours or less. This level of convenience has a significant impact on total lead time as the entire process is automated. With a few minutes of equipment setup, traffic engineers have access to traffic data, reports, and video within a few days without any manual data collection or entry.

Video Collection Capabilities and TDO

Benesch wanted a solution that would provide video of traffic movements and pedestrian counts. Not only does Miovision’s Scout provide the ability to record traffic studies, but it also allows them to review the video on TrafficDataOnline.com (TDO).

TDO is Miovision’s online traffic data management platform, which stores all traffic data, video and reports in one centralized location for improved convenience and data accessibility. Historical data can also be uploaded to the platform, making TDO an efficient tool for managing traffic project files. As a shared portal, TDO allows data and reports to be easily shared with stakeholders. This provides additional insight into the traffic movements at a given location, and the ability to review any traffic anomalies.

Decreased Costs for Traffic Data Collection – 50%

Receiving traffic data in less time has a positive impact on the bottom line. Data that is received in a 75% shorter time period provides a savings of about 50%. Time is saved on the actual traffic data collection, as recouped from the time spent on manually collecting data or manual data entry. These time savings can be applied towards completing more value-add tasks.

As previously mentioned, traffic data collection represents just a fraction of the projects that Benesch completes. If traffic data isn’t completed in a timely manner, it can delay project tasks that are dependent on that data. For Benesch, being behind on a large project can significantly impact budget, costs, and the company’s credibility. Using Miovision’s automated solution eliminates the possibility of these scenarios occurring.

"Not only can we access our data reports sooner, but we’ve also realized cost savings of about 50%, depending upon the project scope."

Jim Jussel, P.E., PTOE Project Manager


By using Miovision’s Scout Video Collection Unit for traffic data collection projects, Benesch has gained operational efficiencies and received added value through video and TrafficDataOnline.com. They have saved time and money while maintaining a high level of service and quality of traffic data collection projects.

Overall, Benesch was able to achieve the following improvements using Miovision:

  • 75% reduction in overall data collection time
  • Video for reviewing and auditability
  • 50% reduction in costs associated with traffic data collection
  • Automating a process to ensure resources are used efficiently and effectively

Case Study – Ingebaires Decreases Traffic Study Costs by Nearly 70%

Ingebaires SLU was looking for a traffic data collection solution that would allow them to collect more data and have the capacity to service more clients while not being limited to working only in daytime hours or mild weather conditions. After investigating their options and current business environment, they needed an automated system that was non-intrusive and that would provide accurate data in various weather conditions and during the night.


Based in Vigo, Spain, Ingebaires SLU is a civil engineering consulting company which focuses on feasibility studies as well as projects related to environmental and sustainable mobility. They work on behalf of the public sector, both locally and regionally, and complete both turning movement count and roundabout studies annually. Their offices are located in Spain, Argentina and USA.


Ingebaires SLU needed a better traffic data collection solution in order to have the capacity to take on more clients and collect more data. Previously, Ingebaires SLU had used manual counting methods which consisted of using paper/pen to record data while making manual observations. Manual data collection was assessed to be either infeasible or impossible during nighttime and poor weather conditions, so data could only be collected between 8 am – 7 pm. Upon evaluation of various options in the marketplace, they decided they wanted to use a non-intrusive technology and disqualified the use of road tubes or radar as a result. The new solution required:
  • High data accuracy;
  • Automated data collection process that can collect data at night and during poor weather;
  • Reduce study completion turnaround time;
  • Non-intrusive;
  • Portable and can be transported to various locations

"Since using the Miovision system, we no longer need to worry about the data accuracy or the weather conditions in traffic data collection."

Sergio Bastianelli, Director of Traffic Projects 


After determining their traffic data collection criteria, Ingebaires SLU found Miovision through online research and sought out customer reviews from two clients. Miovision aligned with their goals to provide a solution that expanded their data collection capabilities to all hours of the day, in any weather conditions. With Miovision’s easy to use set-up and deployment process, they were able to quickly start their traffic data collection. Ingebaires SLU attained 50-70% in total cost savings for traffic data studies by increasing productivity and decreasing lead time.


Ingebaires SLU started to realize the benefits of Miovision’s automated solution with their first study. They reduced study turnaround time by 60% and costs by 50-70%, while improving their accuracy to 95-98%.

Increased Productivity by 60%

Using manual counters significantly restricted the amount of counts that Ingebaires SLU was able to complete in a given time. Poor weather conditions and night prevented manual data collection. In utilizing Miovision’s automated solution, Ingebaires SLU has now doubled their productivity and expanded data collection from 8-12 hours per study to 24 hours per study. This also increased overall productivity by 60%. They no longer needed to rely on a manual pen/paper method and can continue data collection during the night and during poor weather conditions, such as rain.

"Thanks to using Miovision’s technology, our productivity has doubled. Now we can count in more places and more hours, at the same time with a reduced time investment."

 Sergio Bastianelli, Director of Traffic Projects 

Reduced Study Turnaround by 60%

Manual counting was a labour intensive process not only in counting traffic but also manually processing the results. Utilizing an automated system also allows for faster data processing while mitigating human error. Video is recorded, stored and available for review if needed through Miovision’s secure, online portal, TrafficDataOnline.com. Ingebaires SLU was able to decrease total study time from 5 days to 2 days – a 60% reduction. Using this new process has significantly increased accuracy from 75-80% with manual counting to 95-98% with Miovision. This level of data accuracy is comparable to that of the Galician government and their data collection methods.

Decreased Costs by Up To 70% per Study

Decreasing total study turnaround time while increasing productivity and working hours directly impacted costs. Ingebaires SLU reduced costs by 50- 70% per study. The average cost for a manual study was 380€. With Miovision, the average study cost decreased to 150€.

Ingebaires-Hours of Data Collected

Figure 1: Ingebaires SLU was able to increase their data collection hours to include weekends and nights with no added manual work.

Figure 2: Ingebaires SLU was able to reduce their traffic study turnaround time from 5 days to 2 days.

Figure 3: Ingebaires SLU increased their data accuracy to 95-98% using Miovision.


In utilizing Miovision’s automated solution, Ingebaires SLU was able to quickly expand their traffic data collection capabilities and take on more clients. They achieved the benefits of using a fully automated and easy to use solution quickly. As a result of deploying Miovision’s system, Ingebaires SLU achieved:

  • Doubled total working hours – recording all night, rather than limited to 8 am – 7 pm or restricted by poor weather conditions;
  • Increased productivity – rose by 60%;
  • Improved accuracy from 75-80% with manual counting to 95-98% with Miovision’s automation;
  • Decrease study turnaround time by 60%, from 5 days to 2 days.

Case Study – McClure Engineering Reduces Data Collection Time by 65%

McClure Engineering manages a number of large projects which require traffic data collection. During peak periods, simultaneous projects can tie up their staff which draws out lead time for completing various traffic studies. As a result, they were looking for a traffic data collection solution that would free up company resources while providing timely and accurate traffic data.


McClure Engineering has been in business for over 50 years and provides a full spectrum of engineering services to municipal, county, state and private clients. They have 4 offices that span across Iowa and Missouri. Most of their traffic studies require turning movement counts, but they also collect origin-destination studies and daily traffic count data. They complete about a dozen studies annually.


Since McClure Engineering provides a full spectrum of engineering services, data collection is only a fraction of the project tasks. Previously, McClure Engineering used manual counting methods by two individuals which included a counting board or recording on paper. This was a timely process, and depending on the length of the study, could take up a staff member’s entire day. Staff members weren’t always available to complete studies during busy periods and as a result, the data collection could be delayed several weeks. As a result, McClure Engineering needed a solution that had the following:

  • Quick setup for traffic data collection;
  • Faster data/report turnaround time;
  • Accurate data that was cost effective to collect;
  • Automated reporting – no manual data entry into a report/spreadsheet

"Using Miovision has allowed us to get count data quicker. It is no longer an all day process that requires one or two staff members but only one staff member that has available time to travel to the site and back."

Lisa Vandenberg, Traffic Engineer

Figure 1: McClure Engineering was able to decrease their study labor time from 28 to 10 hours.


Decreased Study Turnaround Time by 65%

McClure Engineering evaluated Miovision and found that they were able to decrease staff time by 65%. The total setup and dis-assembly time was about 1/8 of the usual time commitment needed to complete a count manually. The Scout video collection units are fully automated and the only time requirement for data collection was the setup which could be done by one individual in a matter of minutes.

Automated Processing – Mitigated Human Error

Once the video was captured, it could be uploaded and processed through TrafficDataOnline.com (TDO). Reporting turnaround was a matter of days in comparison to a week or longer. Having an automated reporting function removed any need for manual data entry.

Reduced Costs – 36-45% in Savings

The study turnaround time was reduced by 65%, which in turn, decreased the cost of completing studies by approximately 36-45%. Using the Scout for a study at a single intersection would decrease costs by 36%. Savings increased dramatically to 45% for counts performed at two intersections on the same arterial.

Figures 2 and 3: McClure Engineering was able to save 36% in costs for a single intersection count, and 45% in costs using Miovision at two intersections on the same arterial.

TrafficDataOnline.com – One Centralized Data Location

TrafficDataOnline.com (TDO) is Miovision’s online traffic reporting and traffic data management software. This is used to upload and process video as well as to review completed reports. Having a video recording of the count allows for auditing or reviewing the data as well as sharing with clients. Previously, this was not possible from the manual counting process since there was no recorded information available. Once uploaded, the videos were available through TDO and able to be accessed at any time.

"The client interaction of data sharing is valuable to both us and our clients. Instead of sending files, the client is now able to retrieve the reports and view the video online. Having all the information stored on another server is also great for our IT department."

Lisa Vandenberg, Traffic Engineer


Utilizing Miovision’s automated traffic data collection system helped to significantly alleviate staff resources and time in collecting data. It allowed for fast setup and turnaround time for the data collection. Also, having a record of the video allowed for the possibility of a data audit which was not possible through manual counting. McClure Engineering not only saved time, but costs associated with traffic data collection. The automated reports through TrafficDataOnline.com (TDO) were thorough and ensured that manual data entry was unnecessary. As a result, McClure Engineering was able to achieve:

  • 65% of reduced staff hours for manual counting efforts;
  • Saved between 36-45% in their data collection costs;
  • Were able to share all study reports and videos with clients using TrafficDataOnline.com

Case Study – Gloucestershire County Council Cuts Traffic Survey Time by 85%

Gloucestershire-HighwaysInterested in improving and innovating  their traffic data collection methods, Gloucestershire County Council wanted to implement a lead edge system that would decrease the time required for staff to collect traffic data and improve turnaround time on getting data to the end user, directly impacting the cost structure and engineering efficacy.


Gloucestershire County Council (GCC) is located in South West England and has a population of approximately 600,000. Within the county, there are six districts: Cheltenham, Cotswold, Forest, Gloucester, Stroud, and Tewkesbury. On an annual basis, about 60-90 studies are conducted including Junction Counts and Link Counts.


GCC’s existing survey methods depended on custom built cameras that had a long and complicated setup and that were prone to malfunction during the recording process. Once the survey was complete the video would be mailed out to external contractors who analysed the footage, compiled the reports and sent the results back to GCC.

The process would break down again during larger projects and during peak surveying periods.  Deadlines would be missed and GCC staff wasted time chasing the analysis. GCC’s customers wouldn’t always receive their results by the required deadline and it became increasingly difficult to balance resources which impacted other projects.

GCC’s goal was to implement a new, fully automated process that would provide accurate data through innovative technology, and that would be easier to manage than their existing solution. Rationalising the survey process by switching to one technology platform would also provide gains over employing multiple contractors. The evaluation criteria were as follows:

  • Must provide accurate data and vehicle classifications (Car, LGV, OGV1, OGV2, Bus)
  • Employ standardised collection methodology without multiple contractors involved
  • Reduce overall data collection costs including staff counting, management hours and per count costs
  • Decrease turnaround time of study results

"The Miovision System currently saves an average of 20% in direct costs when compared to our previous video survey methods. To put this in perspective, this 20% saving is measured against our 2009-10 video methods which already saved approx 40% against manually counting traffic in Gloucestershire."

Duncan Jamieson Transport Monitoring Team Leader 


Miovision’s Scout Video Collection Units were able to minimise setup time significantly and eliminate any technical failures that were previously experienced. Having “more robust and refined units”, as Duncan Jamieson from Gloucestershire County Council quoted, GCC became able to upload the footage directly and submit it immediately for processing.

This simple but effective technology decreased the total processing time by 85%. As a result of faster turnaround time, GCC is able to complete more surveys in a shorter amount of time. This is crucial for government organizations where budget cuts and decreased headcount are frequent operating environments. It furthermore enables departments to deliver a bigger survey program within a shorter timescale and at a lower cost than previously possible.

"The Miovision System currently saves an average of 20% in direct costs when compared to our previous video survey methods. To put this in perspective, this 20% saving is measured against our 2009-10 video methods which already saved approximately 40% against manually counting traffic in Gloucestershire."

Duncan Jamieson 

GCC saving 20% in direct costs means a saving on man hours and unnecessary contractor costs, and the easy to deploy cameras allowed GCC to allocate time to more value-added tasks such as completing more traffic surveys.

GCC was also able to take advantage of Miovision’s online web portal TrafficDataOnline.com (TDO), to store all of their data securely online and download their reports in a variety of industry standard formats. This allowed the Council to access their data at any time without having to refer back to the contractors who performed the analysis and TDO also offers the capability of data sharing with customers and stakeholders via the portal.

Figure 1 illustrates the cost savings of utilizing Miovision in relation to manual counting and contractors

Figure 2 illustrates the significant decrease (85%) in study turnaround time.

"Apart from the cost savings outlined above, the biggest benefit perhaps for a small survey team is we can now be very clear with our customers (the public, consultants, and internal stakeholders) when results will be available. We can now have results back to customers within 3-4days of a survey as standard, but also give them the option at a slightly higher cost for a 24hr processing time. This has been very well received, as we’re now talking in days and hours, rather than weeks."

 Duncan Jamieson 


Gloucestershire County Council needed an innovative automated solution for their traffic studies that was accurate, easy to deploy and operate. By using Miovision’s Scout Video Collection System and automated analysis software, GCC was able to:

  • Reduce complications and setup time resulting in fewer recounts and more studies
  • Standardised data collection methodology eliminating complexity of managing multiple contractors and formats
  • Decrease data analysis turnaround  by 85% – data received within 72 hours of collection instead of several weeks waiting
  • Quickly access all video files, data files and project information through TrafficDataOnline.com

Saving time on studies also decreased Gloucestershire County Council overall data collection costs including time and labour by 20%.

Case Study – Missouri DOT doubles data collection with 84% less labor

As part of a regular data collection program, the Missouri Department of Transportation District Five had historically conducted between 60 – 75 Intersection and Roundabout Counts per year. In 2009, the district set a goal and made progress towards doubling the amount of counts to 130 – 140 per year. In early 2010, a statewide reduction in labor forces meant eliminating a part-time role whose primary responsibility was data collection, making it extremely difficult to meet their newly established goals.


Missouri DOT District Five is headquartered in Jefferson City, Missouri and is home to over 450,000 people and 205 traffic signals throughout 13 counties. The District is also home to four colleges, including the University of Missouri located in Columbia.


The district experienced a productivity loss of 1,000 labor hours as a result of losing their part-time employee. Three major challenges with the role elimination were:

  • Meeting the internal goal of doubling the amount of data collected in a count season with less people to perform the counts;
  • The district’s Traffic Technician was required to absorb the duties of the eliminated role, placing added strain on traffic data collection and ongoing engineering work;
  • Meeting the internal goal to increase data collected over weekends, holidays, and special events.

With these challenges considered, MoDOT District Five set an interim goal of performing 110 counts in 2010, with the objective to increase data collection year over year.

"In one day we had a MU Game, a state swim competition and a high school wrestling tournament. Counting the impacted intersection manually would have been impossible, so we used Miovision"

Dianna Johnson, Senior Traffic Technician, MoDOT District 5 

FIGURE 1: Miovision’s automated traffic data collection system saved over 1,400 regular and overtime labor hours in the field. The reduction represents a time savings of 84%.


MoDOT District Five purchased Miovision’s portable video data collection system to collect traffic data easily, quickly and with less people.

By using Miovision, the district could reduce the amount of labor needed for each count, thereby increasing the amount of data collected per year by a single person. Using Miovision saved MoDOT District Five over 1,400hrs of labor in 2010 and provided the District Traffic Engineer with a tool to collect more data in less time and meet the interim goal of performing 110 counts in 2010.
See Figure 1.

The reduction in labor hours dedicated to data collection combined with Miovision’s simple process of automating data collection and report generation resulted in a 33% cost savings of over $14,000 for the District in 2010. See Figure 2.

"Miovision enables us to double productivity because a staff member can install the equipment in the morning and then go onto perform other tasks while Miovision works."

Matt Myers, Director of Traffic, MoDOT District 5 

Miovision was found to be particularly cost effective for weekend, holiday and special event data collection. Equipment could be set-up during normal business hours and scheduled to automate data collection during what would previously have been overtime labor hours. In 2009/2010, MoDOT was able to collect 25 weekend and holiday counts with Miovision at a fraction of the cost to send someone to do them manually.

For example, on the Fourth of July Weekend 2010, MoDOT used Miovision to collect data at a major intersection in Jefferson City from Friday July 2nd to Monday July 5th. MoDOT eliminated much of the labor historically required for this type of count by deploying the Video Collection Unit a day prior to the holiday and programming the unit to automatically collect peak hour data over the following four days. The result was a 48% cost savings on this study. See Figure 3.

FIGURE 2: The labor hour reduction combined with Miovision’s cheaper operational costs saved MoDOT over $14,000 versus manual data collection.

FIGURE 3: Using Miovision saved MoDOT from scheduling a staff member to work overtime to collect data over the Fourth of July Weekend.

"Miovision came along at the right time for us. Without switching to Miovision, we would have had to cut our counts by 50%. Instead, we made up for the lost resource and increased data collection."

 Matt Myers, Director of Traffic, MoDOT District 5 


MoDOT District Five needed to mitigate the loss of data collection resources and meet a mandate to double the amount data collected. To help achieve their goal, MoDOT used Miovision to automate data collection and collect more data with fewer resources.

Miovision’s automated data collection system provided a tool to reach MoDOT’s interim goal of 110 counts and establish a process to grow their count program moving forward. The switch to Miovision has already benefited MoDOT by providing them the ability to:

  • Collect more data in less time;
  • Reduce labor hours by 84%, saving over 1,400 human hours in the field;
  • Work during normal business hours to collect data for weekend counts, holiday counts and special event counts;
  • Save a projected $14,000 by using Miovision to automatically collect traffic data in 2010.

Case Study – Qk4 Engineers Automate Data Collection & Increase Profit by 40%

Qk4 logo

Qk4 is a multi-disciplinary engineering firm headquartered in Louisville, Kentucky with extensive experience in traffic counting. The company currently holds data collection contracts with multiple public transportation departments and private developers.


QK4’s traffic engineering department is always looking for new technology that will increase productivity and provide added value for their clients and to their projects. Qk4’s most demanding count program is with Louisville Metro, which requires four 12hr TMC counts per week with car, heavy truck, pedestrian and bicycle classification. The 48hrs of weekly counting have historically been collected manually through the use of a Temp Agency.

"Decisions about major public investments to the sum of hundreds of thousands of dollars are predicated on data."

Tom Springer, AICP, CEP, Director of Planning, Qk4


Specific focus was given to improving profit margin for the Louisville Metro contract. Qk4’s prerogative was to evaluate innovative technology products which could improve the traffic data collection segment of their business and boost the bottom line. New technology:

  • Must be accurate
  • Reduce overall data collection costs
  • Reduce the amount of time spent administering and managing counts
  • Preserve or improve on the simplicity of their current outsourcing process


Bringing data collection in house with Miovision’s automatic traffic data collection system enabled Qk4 to collect higher quality data at a lower cost. Miovision was also able to add extra value by providing a video record alongside traffic data reports to share with clients and visually audit irregular data.

"Factors such as an economic downturn can significantly reduce the accuracy of simply applying a growth factor to historical data."

Jeremy Lukat, PE, Project Manager, Qk4 

For Qk4, study accuracy is hugely important. “We look at traffic data as the gospel,” quotes Qk4’s Director of Planning, Tom Springer, AICP, CEP. “Decisions about major public investments to the sum of hundreds of thousands of dollars are predicated on data.” To mitigate future LOS failure, current real-world data must be collected, and it must be accurate. Project Manager Jeremy Lukat, PE explains, “Traffic is unpredictable from year to year. Factors such as an economic downturn can significantly reduce the accuracy of simply applying a growth factor to historical data.” For example, an area hit with job loss will likely see a peak volume reduction rather than increase.

Implementing Miovision’s system brought data collection in-house at a significant cost savings, and also simplified the entire process, saving time, and consequently, saving money.

time commitment per week of using Miovision versus a temp agency

Figure 1: Using Miovision on the Louisville data collection project required only 1.5hrs of work per count versus 3hrs of work per count spent administering and managing temporary workers.

cost per week of using Miovision versus a temp agency

Figure 2: A 40% cost reduction was realized as a result of the time savings and a cost-per-hour savings with Miovision versus managing and compensating temporary staff.

The duty of deploying Miovision’s Video Collection Unit and uploading video for analysis is shared by four people within the department, each team member taking a week with the unit at a time. “With four of us sharing the field deployment and video uploads, we are able to come together as a team and share what we learned while responding quickly to clients,” quotes Mr. Springer.


By bringing data collection in house for the Louisville Metro project, Qk4 met their challenges head-on. With Miovision’s system to automate traffic data collection, Qk4 can:

  • Reduce the costs associated with data collection by 40% per count
  • Increase productivity 100% by limiting the amount of back and forth required per count
  • Work together as a department to share a common goal and increase their overall productivity
  • Share video recordings with clients to help them better understand their traffic problems, such as safety, that traffic data alone does not illustrate
  • Audit video recordings to validate data