Green Wave Cycle of Traffic Lights and its Effect on Air and Noise Pollution

Document Type : Scientific - Research

Authors
Mohammad Hossein Biglarmazlaghani 1
Mahdi Yazdanpanah 2
Ali Dehghanbanadaki 3
1 M.Sc., Faculty of Civil Engineering, Islamic Azad University, Damavand Branch, Damavand, Iran
2 Assistant Professor, Department of Engineering, Faculty of Civil Engineering, University of Garmsar, Garmsar, Iran
3 Assistant Professor, Faculty of Civil Engineering, Islamic Azad University, Damavand Branch, Damavand, Iran
10.22119/jte.2024.395517.2665
Abstract
Traffic of vehicles is one of the main contributors to air and noise pollution in modern cities. By implementing a proper traffic management system, environmental and noise pollution can be reduced to a desirable level. In this study, a part of the traffic network on Farjam, Somayeh and Taleghani streets in Tehran has been evaluated under two traffic control conditions: fixed cycle and green wave. Synchro software and LowVolumeTool were used to calculate noise and air pollution. As a result of switching from a fixed mode to a green wave cycle mode, the average emissions of CO, NOx, and VOCs in Farjam Street decreased by 15, 14 and 11%, respectively; whereas on Somayeh Street, they decreased by 2%, and on Taleghani Street, they decreased by 6, 10 and 6%, respectively. The fuel consumption, average delay, and number of stops on Farjam Street decreased by 15, 3, and 23 percent respectively, while these values decreased respectively by 2, 5 and 12 percent on Somayeh Street. On Taleghani Street, fuel consumption and stop numbers decreased by 6 and 16 percent, respectively, during the same period, the average delay increased by one percent. As compared to the fixed cycle, noise pollution has increased in Farjam Street, while there has been no significant change in Somayeh Street and Taleghani Street. In this study, the justification for utilizing the green wave instead of fixed traffic light timing as well as its effects on air and noise pollution have been analyzed.

Keywords

Subjects

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Quarterly Journal of Transportation Engineering
Volume 16, Issue 2 - Serial Number 63
Winter 2025
Pages 4363-4378

  • Receive Date 02 May 2023
  • Revise Date 11 November 2023
  • Accept Date 07 February 2024