This paper proposes a traffic management and control platform from the perspective of sustainable development to reduce the vehicle emission along arterials with contraflow left-turn lane (CLL). Based on existing CLL signal control devices and corresponding control scheme, the relationship between main signal and pre-signal is unambiguously considered to reduce emissions caused by idling vehicles along arterials. The proposed methodology consists of a macroscopic traffic model and a macroscopic emission model. The traffic model is established on the basis of finite capacity queueing models considering complex queueing conditions in real terms, and the emission model is based on the traffic model which approximately quantified the expected total emissions over all links. An metamodel optimization framework is established to develop fixed-time traffic signal control problem with the objective of delay and emission minimization. Genetic algorithm which can calculate metamodel optimization problems is employed to derived the control plans. A case study based on the field data of four intersections along the West Yan’an Road arterial in Shanghai is applied in AIMSUN to verify the proposed methodology. The travel delay and emission of the newly proposed signal plans indicate that the framework positively leads to less delay and pollutants. Keywords:Arterial management and control system, contraflow left-turn lanes, metamodel optimization, delay minimization, emission minimization.

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