From Surf Wiki (app.surf) — the open knowledge base
Turning movement counters
Turning movement counters (TMC's) are devices used to manually encode turning movement counts, a standard way of quantifying the movement of people and vehicles through an intersection.

TMC's are square shaped boxes that have buttons for each direction of traffic flow. For example, east bound traffic entering an intersection has a button for those vehicles that turn, left, right or continue straight. Furthermore, an additional button is used for each direction to add the number of pedestrian and bicyclist movement. Typically automated traffic counters assess traffic flows, however, due to the differing angles of vehicles entering an intersection the present technology available is not able to quantify the traffic without major error. Traditional automated traffic counters have rubber tubes which are laid out across the road generally in a straight portion in order to have the wheels on the same axle hit at about the same time. When turning in an intersection the tires hit individually and the amount of error in the counter is increased. This means that TMC's are the only present option for quantifying traffic flows. They are used manually by an individual pressing the correlating button for every vehicle that enters and moves through the intersection.
References
- Murthy, Narasimha & Henry R. Mohle. "Transportation Engineering Basics", ASCE Press
This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.
Ask Mako anything about Turning movement counters — get instant answers, deeper analysis, and related topics.
Research with MakoFree with your Surf account
Create a free account to save articles, ask Mako questions, and organize your research.
Sign up freeThis content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.
Report