Stochastic Optimization for Sustainable Traffic Signal Control

摘要

The primary research focus of traffic signal control systems has been the development of traffic signal timing plans minimizing vehicular delay and stops. Very little is known if such a strategy would be optimal for a sustainable traffic signal control system minimizing emission and fuel consumption. This paper presents a development of a sustainable traffic signal control system and speed management framework consisting of a microscopic simulation model, a microscopic fuel consumption and emission model, and a genetic algorithm - based optimizer. Based on an implementation of the proposed framework on a case study network, it was found that the proposed framework was very effective in minimizing fuel consumption and emission with moderate trade-offs in delay and stops.