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.


    Access

    Access via TIB


    Export, share and cite



    Signal coordination scheme based on traffic emission

    Ji, Yanjie / Hu, Bo / Hill, Graeme et al. | Wiley | 2016

    Free access

    Effect of signal coordination on traffic emission

    Lv, Jinpeng | Online Contents | 2012


    Effect of signal coordination on traffic emission

    Lv, Jinpeng / Zhang, Yunlong | Elsevier | 2011


    Traffic Signal Coordination

    Ni, Daiheng | Springer Verlag | 2020


    Traffic signal coordination control scheme smooth transition method considering periodic constraints

    JIN SHENG / LIU MEIQI / WANG DIANHAI et al. | European Patent Office | 2015

    Free access