Modus Consult, an engineering firm based out of Germany, has used Miovision Scout to collect data for a variety of traffic studies over the years. They were recently approached by the traffic team in Bad Breisig – a tourist town of about 10,000 residents – to find out what was causing traffic congestion along the main corridor and provide recommendations to help minimize the problem.
Bad Breisig sees roughly 200,000 motorized vehicles through its city center each day along the B9 – a state street running east along the river Rhine, providing many small towns with a direct connection to the cities of Koblenz and Bonn. This leads to an increase in traffic during peak times which disrupt the urban development of the city center, limiting access to businesses, increasing safety concerns for pedestrians, and contributing to an increase in emissions. In order to present recommendations to the town, the project required the collection of quantitative and qualitative traffic data, on all modes of transportation. The study included stationary and flowing traffic, heavy vehicles, bicycles, and pedestrian behavior at crossings along the B9, as well as the effects of traffic jams around intersections.
Engineering ﬁrms trust Miovision Scout to gather the data necessary to complete their traﬃc studies. It’s portable and durable, and provides ﬁrms with reliable, and veriﬁable count data. But, Scout is more than just a basic vehicle counter.
Many engineering ﬁrms and data collectors use Scout to gather bicycle and volume counts, or use the video captured to visualize queue lengths at traﬃc signals. Miovision Scout with Connect can even be used to collect travel time using MAC address data.
The team at Modus Consult used Scout to gather data for the pro‐ject due to the fact that they could use it to run many simultaneous studies. The expedited project timeline also led the team to select Scout, thanks to its quick and simple deployment capabilities. Plus, with access to video-based technology, many of their qualitative questions could be answered, through the capture and analysis of video data showing the behavior of cyclists on bicycle paths, and queue lengths (see: Image 2) in front of traﬃc signals. The project had to be completed within a week and included the following:
24 locations to count vehicles and bicycles
13 locations to monitor parking behavior
10 locations to count pedestrian crossings
Capture and analysis of travel times between two location
In addition to the video data collected during the study, Scout Connect was used to capture MAC address data, which helped the team identify travel times through town during the day and capture daily ﬂuctuations and peak times. Further, MAC address data provided insights into ingress and egress streets into to n, as well as which streets were used. The traﬃc ﬂows during the day were derived from the latter data, forming the basis for evaluating shifts in traﬃc ﬂows. Overall, 28 Miovision Scout units were deployed to collect data for this study including, TMCs, as well as pedestrian and bike counts. Additionally, occupancy rates and usage of parking lots and roadside parking were assessed by ﬁeld teams to estimate demand.
Once the data was captured, it was displayed in a bar chart over time. The chart showed the daily volume at a cross-section with the selected bin size of 30 minutes (see image). The individual black bars represent the total heavy vehicle volume during each 30-minute stretch during a 24-hour period.
To gain insights into travel times along the selected corridor, the above travel time chart was taken from Miovision DataLink. The graph indicated a heightened travel time between the count locations along the B9. This data was instrumental in identifying the problem early on, and illustrated the need to improve the congestion situation.
The information gathered in all of the locations included in the study, including travel time data, ultimately helped the team conclude that a single traﬃc signal was the cause of all the backup traﬃc along the corridor. Further, the data showed that the town assumed shift in traﬃc to parallel routes only occurred for a few hours, or not at all, disproving the theory put forward before the study. The analysis of the crossing pedestrians conﬁrmed the safety concern relating to the conﬂicts between vehicles and pedestrians.
The engineering ﬁrm was able to make data-backed recommendations following the in-depth traﬃc study, thanks to data collected with Miovision Scout. These recommendations included a plan to control ingress and egress into the town via the traﬃc signals located outside the town and reduce the speed limit within the town to a level which maintained free-ﬂowing traﬃc. Alternate considerations included the complete removal or retiming of the signal in question, to minimize congestion, or to reroute traﬃc via new-build streets. The team at Modus Consult has presented their ﬁndings and recommendations to the town and are awaiting a decision on how to implement the recommendations.
Modus Consult is a traﬃc engineering company offering traﬃc planning, environmental planning, city planning, and architecture services. Since its foundation in 1998, the company has been in‐volved in projects including, the introduction of the public bus transit in Bruchsal, the study of the A44 between Eisenach und Kassel, development of the land use plan including zoning and construction planning of the city of Krottbach, and the redesign of the city center of Forst. Modus Consult has now grown to an engineering ﬁrm with three oﬃces, catering to many municipalities and cities.
Dr.-Ing. Frank Gericke, Fr. Architekt/Stadtplaner
Pforzheimer Straße 15b
Tel.: 0721/9 40 06-0
Fax.: 0721/9 40 06-1