A V2I-Based Signal Optimization Method and Simulation

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.