Modeling and simulation of vehicle projection arrival–discharge process in adaptive traffic signal controls

Abstract

SUMMARYReal-time signal control operates as a function of the vehicular arrival and discharge process to satisfy a prespecified operational performance. This process is often predicted based on loop detectors placed upstream of the signal. In our newly developed signal control for diamond interchanges, a microscopic model is proposed to estimate traffic flows at the stop-line. The model considers the traffic dynamics of vehicular detection, arrivals, and departures, by taking into account varying speeds, length of queues, and signal control. As the signal control is optimized over a rolling horizon that is divided into intervals, the vehicular detection for and projection into the corresponding horizon intervals are also modeled. The signal control algorithm is based on dynamic programming and the optimization of signal policy is performed using a certain performance measure involving delays, queue lengths, and queue storage ratios. The arrivaldischarge model is embedded in the optimization algorithm and both are programmed into AIMSUN, a microscopic stochastic simulation program. AIMSUN is then used to simulate the traffic flow and implement the optimal signal control by accessing internal data including detected traffic demand and vehicle speeds. Sensitivity analysis is conducted to study the effect of selecting different optimization criteria on the signal control performance. It is concluded that the queue length and queue storage ratio are the most appropriate performance measures in real-time signal control of interchanges.

Signal Control Adaptive Model Based on Microtransformation of Urban Street Space

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A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment

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An Innovative Eigenvector-Based Method for Traffic Light Scheduling

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