An Optimization Model for Adaptive Control at Isolated Signal Intersection

An optimization method considering stochastic characteristics is proposed to optimize adaptive control parameters at intersections under stochastic conditions. By analyzing the relationship between stochastic characteristics of vehicle arrival rate and vehicle delay, the relationship between green time and vehicle delay increment at intersections, an adaptive control optimization model is established with the objective of minimizing vehicle delay increment expectations at isolated intersections. A simulation test platform integrating VISSIM and MATLAB is built to compare the optimization of the model for vehicle delay in each traffic scenario, and to evaluate the effect of the model on intersection signal control under various saturation conditions. The results show that under different traffic scenarios, the signal control effect of the model proposed in this paper is better than that of traditional actuated control in the case of medium saturation.