Application of EUVC Algorithm to Evaluate Unconnected Vehicle in A Connected Vehicle Environment
Hui Feng, Li Lin, Ting Chen
Available Online January 2016.
- https://doi.org/10.2991/ifmeita-16.2016.9How to use a DOI?
- Connected vehicles, Vehicle situations, Adaptive traffic signal control, Simulation
- Actual traffic signal control strategies rely on detectors, it detects traffic information as a control logic input. In fact, this kind of detector is based on facilities and usually called point detector which cannot directly provide the data of vehicle situation which includes speed, location, acceleration and headway etc. Meanwhile with the development of vehicles, more and more vehicles bring a series of questions, just like traffic congestion, environmental pollution and emission. Comparing with other regions This phenomenon is especially serious in intersection. With the rapid development of wireless communication technology in the emerging inter-connected vehicle system, it is possible to contact with each other between the vehicle and vehicle, vehicle and infrastructure. In this paper it proposes that connected vehicles can provide more complete statistics when closing to intersection in connected environment, at the same time, applying a new algorithm calls EUVC, when a vehicle approaches to an intersection, three sections from this area are divided to evaluate unconnected vehicles situations with different algorithms, thereby it is possible to provide complete original statistics for adaptive signal control system to improve its work efficiency and reduce a series of traffic problems. In addition, combing VISSIM with a text bed to validate whether this algorithm can work well or not.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hui Feng AU - Li Lin AU - Ting Chen PY - 2016/01 DA - 2016/01 TI - Application of EUVC Algorithm to Evaluate Unconnected Vehicle in A Connected Vehicle Environment BT - 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.9 DO - https://doi.org/10.2991/ifmeita-16.2016.9 ID - Feng2016/01 ER -