An agile vehicle?based dynamic user equilibrium scheme for urban traffic signal control

Traffic Signal Control (TSC) is a fundamental task in modern intelligent transport systems. TSC often formulated as bi-level optimization problem, comprised by the signal timing at upper level and Dynamic User Equilibrium (DUE) traffic assignment lower level. Since DUE non-convex, existing methods either formulate approximation models or adopt simulators. However, may oversimplify practical situations, while simulators are usually time-consuming. This paper formulates vehicle-based (vDUE) model proposes an agile method that can simultaneously maintain computational simplicity dynamics for assignment. Further, system built combining vDUE with adaptive differential evolution algorithm optimization. To enhance effectiveness of optimization, problem formulation also improved to make it better characterize requirements. In experiments undertaken, comparisons different carried out on both real-world synthetic transportation networks. The experimental results validate proposed various situations.