Constraint-Based Negotiation Model for Traffic Regulation

The increasing communication abilities of vehicles and recent advances in artificial intelligence allow new solutions to be considered for traffic regulation, based on real-time information and distributed cooperative decision-making models. However, current techniques do not consider all the travel history and information of the vehicules. In this paper, we propose an automated negotiation mechanism with policies (along with specialized variants), which enables a distributed regulation of the right-of-way of the vehicles at an intersection, based on the travel context and the constraints of each vehicle. To account for the regulation needs, the technique employs a novel and generic negotiation model. Our simulations show that the proposed mechanism can increase the efficiency of the regulation.