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One Approach to Quantifying Rainfall Impact on the Traffic Flow of a Specific Freeway Segment

Author

Listed:
  • Marijo Vidas

    (Faculty of Traffic and Transport Engineering, University of Belgrade, 11010 Beograd, Serbia)

  • Vladan Tubić

    (Faculty of Traffic and Transport Engineering, University of Belgrade, 11010 Beograd, Serbia)

  • Ivan Ivanović

    (Faculty of Traffic and Transport Engineering, University of Belgrade, 11010 Beograd, Serbia)

  • Marko Subotić

    (Faculty of Transport and Traffic Engineering, University of East Sarajevo, 71123 Sarajevo, Bosnia and Herzegovina)

Abstract

Spatial constraints in urban areas very often lead to the application of traffic management measures to meet transport demands. Accordingly, it is very important to identify all potential impacts that could lead to reductions in the street network’s capacity. One such impact is weather conditions. The main motivation of this research is to analyze the impacts of rainfall on one of the most important segments of Belgrade’s street network that represents part of a freeway passing the city center. Our focus is on quantifying the impact of rainfall on speed and capacity. This paper proposes a new approach to analyzing the rainfall impact at the traffic lane level that provides additional possibilities to apply traffic management measures on the traffic lane level instead of at the direction level only. Functional dependences and differences in capacity and speed on traffic lanes were found under the influence of different rainfall intensities. Reductions in free-flow speed depend on the rain category and traffic lanes and vary from 4.5% to 11.58%, while reductions in traffic lane capacity range from 2.46% to 12.97%. We demonstrate the importance of considering the impact of rainfall at the traffic lane level, which could be quality input data for defining appropriate traffic management measures to mitigate the negative impacts.

Suggested Citation

  • Marijo Vidas & Vladan Tubić & Ivan Ivanović & Marko Subotić, 2022. "One Approach to Quantifying Rainfall Impact on the Traffic Flow of a Specific Freeway Segment," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4985-:d:798701
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    References listed on IDEAS

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    1. Yajie Zou & Yue Zhang & Kai Cheng, 2021. "Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    2. Piyapong Suwanno & Rattanaporn Kasemsri & Kaifeng Duan & Atsushi Fukuda, 2021. "Application of Macroscopic Fundamental Diagram under Flooding Situation to Traffic Management Measures," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    3. Chen Chen & Xiaohua Zhao & Hao Liu & Guichao Ren & Yunlong Zhang & Xiaoming Liu, 2019. "Assessing the Influence of Adverse Weather on Traffic Flow Characteristics Using a Driving Simulator and VISSIM," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    4. Singhal, Abhishek & Kamga, Camille & Yazici, Anil, 2014. "Impact of weather on urban transit ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 379-391.
    5. Yanmin Qi & Zuduo Zheng & Dongyao Jia, 2020. "Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    6. Min Zhang & Yufu Liu & Wenqi Sun & Yixiong Xiao & Chang Jiang & Yong Wang & Yuqi Bai, 2021. "Impact of Rainfall on Traffic Speed in Major Cities of China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    7. Tsapakis, Ioannis & Cheng, Tao & Bolbol, Adel, 2013. "Impact of weather conditions on macroscopic urban travel times," Journal of Transport Geography, Elsevier, vol. 28(C), pages 204-211.
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    1. He, Xin & Xu, Xinwei & Shen, Yu, 2023. "How climate change affects enterprise inventory management —— From the perspective of regional traffic," Journal of Business Research, Elsevier, vol. 162(C).
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