Model Predictive Traffic Control by Bi-Level Optimization

A bi-level model for traffic signal optimization is developed. The predictive framework applied control in an urban network. potential of the formalization used to increase space influences with simultaneous evaluation green light and cycle durations. Thus, increased allows more parameters be considered, such as vehicles queues flows. particular modification synchronization lights approach real-time management implementations are constrained by shortest evaluated cycle. a minimization maximization outgoing flows from has been numerically tested on set intensive crossroads Sofia. numerical simulations prove superiority developed comparison classical queue lengths.