Abstract
Signal control and route guidance jointly influence traffic flow in time and space. Firstly, the conceptual structure of combined signal control and route choice (CSCRC) was analyzed. Then, the mathematical models of CSCRC were summarized. Link travel time function and signal control policy have significant influence on solution uniqueness and convergence of CSCRC model. Simulation-based method can allow more complex interactions, therefore win real value than travel time formula. Modified iterative simulation and assignment procedure is built, in which road is discretized by Cellular Automata, traffic flow dynamics is represented by Cell Transmission Model, signal setting is optimized by Hybrid Genetic Algorithm. For toy network, the algorithm converges to stable solution.
