Signal coordination scheme based on traffic emission

Yanjie Ji; Bo Hu; Graeme Hill; Weihong Guo; Phil Blythe; Liangpeng Gao

Signal coordination scheme based on traffic emission

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Author(s): Yanjie Ji ¹ ; Bo Hu ¹ ; Graeme Hill ² ; Weihong Guo ² ; Phil Blythe ² ; Liangpeng Gao ¹
- Affiliations: 1: Jiangsu Key Laboratory of Urban ITS, Southeast University, People's Republic of China ;
  2: Transport Operations Research Group, School of Civil Engineering and Geosciences, Newcastle University, UK
Source: Volume 10, Issue 2, March 2016, p. 89 – 96
DOI: 10.1049/iet-its.2014.0255 , Print ISSN 1751-956X, Online ISSN 1751-9578

Received 20/10/2014, Accepted 12/07/2015, Revised 30/06/2015, Published 01/03/2016

This study presents a new optimal signal coordination scheme with an emphasis on emission reduction as a result of minimised passenger delay. By analysing the limitation of the algebraic method, a new algorithm using arrival–departure curves was proposed. A microscopic emission simulation platform based on VISSIM (a microscopic multi-modal traffic flow simulation model) and comprehensive modal emission model (CMEM) was established to estimate traffic emission reduction. A multi-objective genetic algorithm was used to find Pareto solutions that simultaneously reduce both passenger delay and vehicle emissions. Using the real-world traffic data collected in Changzhou city, an example of the signal coordination scheme was developed and its impact on emissions was simulated in the VISSIM-CMEM platform. The simulation results show that the proposed scheme achieved an average emission reduction of 28.8% on public transport vehicles and 18.7% on all vehicles over existing signal schemes.

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