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Signal coordination scheme based on traffic emission
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Dr Graeme Hill
Dr Amy Guo
Professor Phil Blythe
Ji Y, Hu B, Hill G, Guo W, Blythe PT, Gao L
IET Intelligent Transport Systems
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Signal coordination is an effective method to reduce transit delay. However, to date, little attention has been paid to its impacts on traffic emmission. In this paper, an optimal signal coordination scheme based on an arrival-departure curve and a multi-objective genetic algorithm was developed, where emission can be quantified and taken into consideration. By analyzing the limitation of the conventional algebraic method, a new algorithm based on analysis of arrival-departure curves was proposed. A microscopic emission simulation platform based on the microscopic traffic simulation model VISSIM and the comprehensive modal emission model (CMEM) was established to calculate the associated traffic emission. A multi-objective genetic algorithm was used to find Pareto solutions that simultaneously balance and optimisethe reduction in both driver delay and vehicle emission. Using real-world traffic condition data collected in Changzhou city, China, an example of the signal coordination scheme was developed and its impact on emission was simulated in the VISSIM-CMEM platform. Simulation results showed that a positive effect can be made by the proposed scheme in the aspect of overall emissions. The proposed signal coordination scheme achieved an average reduction of 28.8% on public transport vehicles and 18.7% on all vehicles.
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