Automated Vehicle Planning Data-assisted Method for Estimating Turning Ratios and Optimizing Signals at Connected Arterials

For urban signalized intersections, existing connected and automated vehicle-based urban traffic control (UTC) systems still have some issues to overcome, including few efforts on turning ratios, and compatibility and efficiency concerns to high levels of vehicle automation. In this paper, an automated vehicle (AV)-assisted signal control integrating standardized planning messages is proposed to resolve turning ratio uncertainty and standard compatibility concerns efficiently. First, an extended planning-assisted turning ratio method is proposed to extract the turning ratios from the trajectory planning data. Then, a movement-wise max pressure (MP) control is developed to improve mobility performances. The simulation results of typical traffic scenarios in real-life urban areas show that the AV trajectory planning helps accurately extract the turning ratios for each movement. Furthermore, the AV-assisted movement-wise MP control further improves the mobility performances of the urban network performances as large as 20.64
^%
for time loss reduction and 6.48% for the vehicle speed improvement.