TY - GEN
T1 - A V2I-Based Signal Optimization Method and Simulation
AU - Tian, Song
AU - Wang, Yunpeng
AU - Lu, Guangquan
AU - Chen, Peng
AU - Ding, Chuan
N1 - Publisher Copyright:
© 2016 ASCE.
PY - 2016
Y1 - 2016
N2 - Traditional signalized intersections use fixed-time control. The duration of a signal is invariant in a period of time. However, traffic volume changes drastically and is nonlinear. With the development of vehicle-to-infrastructure (V2I) communication technology and sensors, original signal control is antiquated. In this paper, how infrastructure obtains vehicle data is introduced. Applications on-board or mobile phone applications (apps) will transmit information such as position, speed, and heading to servers on the roadside. The signal optimization algorithm uses this information to calculate delay and queue length and then allocates phase duration on the basis of these data. A simulation using NETLOGO5 was set up to verify the algorithm. The results indicate that for common crossroads, it works well in unsaturated traffic conditions or with no more than two branches in a saturated condition. As for a T-intersection, this algorithm can reduce delay significantly.
AB - Traditional signalized intersections use fixed-time control. The duration of a signal is invariant in a period of time. However, traffic volume changes drastically and is nonlinear. With the development of vehicle-to-infrastructure (V2I) communication technology and sensors, original signal control is antiquated. In this paper, how infrastructure obtains vehicle data is introduced. Applications on-board or mobile phone applications (apps) will transmit information such as position, speed, and heading to servers on the roadside. The signal optimization algorithm uses this information to calculate delay and queue length and then allocates phase duration on the basis of these data. A simulation using NETLOGO5 was set up to verify the algorithm. The results indicate that for common crossroads, it works well in unsaturated traffic conditions or with no more than two branches in a saturated condition. As for a T-intersection, this algorithm can reduce delay significantly.
UR - https://www.scopus.com/pages/publications/84979735373
U2 - 10.1061/9780784479896.108
DO - 10.1061/9780784479896.108
M3 - 会议稿件
AN - SCOPUS:84979735373
T3 - CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals
SP - 1193
EP - 1203
BT - CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals
A2 - Ge, Ying-En
A2 - Wang, Xiaokun
A2 - Zhang, Yu
A2 - Huang, Youfang
PB - American Society of Civil Engineers (ASCE)
T2 - 16th COTA International Conference of Transportation Professionals: Green and Multimodal Transportation and Logistics, CICTP 2016
Y2 - 6 July 2016 through 9 July 2016
ER -