ABSTRACT With the development of information communication technologies, the coordinated control of urban arterials has attracted increased attention during recent years. However, the majority of the existing intersectional signal control optimisations focused on vehicle throughput, control delay and so on. This paper establishes an arterial coordination system to optimise both delay and emissions simultaneously. A vehicle delay approximation method is proposed based on the delay minimisation by considering the discrete effect of vehicle arrivals. Then, the motor vehicle emission simulator emission model is introduced to classify vehicles according to body size and emission standard, thus to approximate vehicle exhaust. A bi‐objective optimisation model is proposed and solved by the tolerant stratified sequencing method and branch and bound algorithm. Finally, the empirical field traffic data were collected from an arterial road section along Shangyuan Road, Xi'an, China. Three schemes, namely the benchmark scheme, single objective optimisation scheme and bi‐objective optimisation scheme, are designed with further investigations. The comparison results demonstrated that the new proposed bi‐objective optimisation signal control scheme reduced delays by 28% and emissions by 7%. The proposed schemes were further implemented and simulated using the arterials system under different traffic conditions within sensitivity analyses, with the results demonstrating the effectiveness in both traffic pressure mitigation and vehicle emission reduction. Findings of this study may assist in achieving a low‐carbon urban road transportation with high mobility.
Gao et al. (Thu,) studied this question.