A Rule-Based Decision-Making Framework for Dilemma Zone Protection at Signalized Intersections

Signalized intersections are the potential accident areas in the road network because there usually exists dilemma zone (DZ). In order to solve the DZ problem at signalized intersection, this paper proposes a rule-based decision-making framework to address the DZ problem. The rule-based decision-making framework consists of three modules, namely, perception module, decision-making module and operation module. The perception module obtains the vehicle speed, vehicle position and traffic light information, the decision-making module outputs the driving behavior, and the operation module controls the vehicle power system. The framework avoids the DZ problem under the consideration of the vehicle-following driving safety. The effectiveness of the proposed method is verified through a simulation manner. Compared with the benchmarked method, the proposed method not only can decrease the potential risk of vehicles in the vehicle-following driving scene at signalized intersections, but also can improve the traffic efficiency.