Event-Triggered Control for Inter-Vehicle Communications of Cyber-Physical Transportation Systems

In Cyber-Physical Transportation Systems (CPTSs), inter-vehicle communication is a basis of traffic safety and vehicle applications. Vehicles need to transmit motion data with each other via wireless networks. Despite many strategies that make the vehicle network more reliable and efficient under the noise, the separate design of estimation and communication makes them incapable of ensuring state received from multiple vehicles around reliability. To address the gap, this paper proposes an event-triggered broadcast control strategy that fuses communication scheduling with estimators. The estimator is designed to estimate the information transmitted by the strategy and the event-triggered condition is designed based on estimation states. To verify the performance of the estimator and the tracking accuracy of the broadcast strategy, an autonomous driving simulation platform is built. The communication rates of our strategy in the traffic flow are evaluated by SUMO and NS3. The experiment result shows that the strategy can dynamically adjust the event-triggered conditions according to the accuracy of the vehicle estimator and the network transmission rate improve significantly.