Signal timing optimization to minimize fuel consumption

  • Anica Kocić University of Belgrade, Faculty of Transport and Traffic Engineering
  • Nikola Čelar University of Belgrade, Faculty of Transport and Traffic Engineering
  • Jelena Kajalić University of Belgrade, Faculty of Transport and Traffic Engineering
  • Stamenka Stanković University of Belgrade, Faculty of Transport and Traffic Engineering
Keywords: fuel consumption, signalized intersection, signal timing optimization, genetic algorithm, traffic management

Abstract

Traffic congestion has been caused by sudden increase in the number of vehicles during the 20th century and disbalance of traffic system supply and demand. Consequently, congestion contributes to the increase in delays, fuel consumption, pollution and noise emissions. It is necessary to consider transport supply changes. In general there is no space for street capacity increase because urban areas are formed, so there is a need for use of traffic signals. Traditional signal timing optimization methods only consider delay minimization. However, fuel consumption minimization has to be considered because of bad air quality in urban areas. Signal timing optimization to minimize fuel consumption is proposed and results are showed in this paper. Results show that fuel consumption is reduced for about 2% in peak hour, and about 5% in off-peak hour for proposed signal timing optimization than for Webster's method.

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Published
2019-10-12
How to Cite
Kocić, A., Čelar, N., Kajalić, J., & Stanković, S. (2019). Signal timing optimization to minimize fuel consumption. Put I Saobraćaj, 65(3), 19-28. https://doi.org/10.31075/PIS.65.03.03