World Journal of Engineering Research and Technology

Do Van Manh* and Dinh Tuan Hai

ABSTRACT

Urban growth causes various problems that include the difficulty of managing urban waste, stress on the infrastructure, the pressure of urban traffic networks, and pollution of air quality in the city. Governments of many countries in the world have to pay more attention to optimize the traffic control system as well as to reduce the exhausting emission of traffic networks in urban areas. Particularly, the congested intersection has been the first concern in the traffic network where causes vehicle delays, traffic jams, and excessive fuel consumption. Few researchers attempted to minimize the traffic delays, time loss and queue lengths at a particular intersection. However, those results did not mention the minimization of vehicle emissions at the intersection. On the other hand, several pieces of research suggested the integration of vehicle exhausted emission function in the researched model. Nevertheless, those mentioned models should be enriched by different cases based on real traffic demand. This study aims to generate the comprehensive performance index model that integrates traffic signal optimization and minimizing vehicle exhausted emission for a particular complex intersection in Taichung city Taiwan by Genetic Algorithm. The suggested model has been generated by considering the constraint problems in traffic signal control, optimizing the traffic signal timing, and reducing the fuel consumption at the intersection.

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