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Lookup NU author(s): Yuhao Ji,
Dr Graeme Hill,
Dr Amy Guo,
Professor Phil BlytheORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IET, 2016.
For re-use rights please refer to the publisher's terms and conditions.
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.
Author(s): Ji Y, Hu B, Hill G, Guo W, Blythe PT, Gao L
Publication type: Article
Publication status: Published
Journal: IET Intelligent Transport Systems
Print publication date: 15/02/2016
Online publication date: 14/08/2015
Acceptance date: 12/07/2015
Date deposited: 01/02/2018
ISSN (print): 1751-956X
ISSN (electronic): 1751-9578
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