An Arterial-Level Traffic Signal Coordinated Control Approach with Partial Connected Vehicle Data

Most adaptive signal control systems rely on traffic data detected by fixed-point detectors, which suffers from characteristics of inaccuracy and latency. This study proposes a hierarchical coordinated signal control framework for arterials with asymmetric traffic, integrating traditional detector data and partial CV data. The arterial traffic operation is firstly considered, based on the traditional Webster’s model. An efficiency optimization model is then developed for the high-volume main direction traffic flow of the mainline. At last, a bandwidth maximization model is presented for the minor direction traffic. The experimental results based on VISSIM simulation scenarios demonstrate that the proposed approach performs better than the Synchro and MULTIBAND models, especially when the penetration rate of CVs is greater than 30%. In addition, as the penetration rate increases, the impact on mainline traffic is significant while the effect on arterial traffic is slight.