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A simple crowdsourced delay-based traffic signal control

Author

Listed:
  • Vinayak Dixit
  • Divya Jayakumar Nair
  • Sai Chand
  • Michael W Levin

Abstract

Current transportation management systems rely on physical sensors that use traffic volume and queue-lengths. These physical sensors incur significant capital and maintenance costs. The ubiquity of mobile devices has made possible access to accurate and cheap traffic delay data. However, current traffic signal control algorithms do not accommodate the use of such data. In this paper, we propose a novel parsimonious model to utilize real-time crowdsourced delay data for traffic signal management. We demonstrate the versatility and effectiveness of the data and the proposed model on seven different intersections across three cities and two countries. This signal system provides an opportunity to leapfrog from physical sensors to low-cost, reliable crowdsourced data.

Suggested Citation

  • Vinayak Dixit & Divya Jayakumar Nair & Sai Chand & Michael W Levin, 2020. "A simple crowdsourced delay-based traffic signal control," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-12, April.
    • Handle: RePEc:plo:pone00:0230598
    DOI: 10.1371/journal.pone.0230598
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    References listed on IDEAS

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    1. Le, Tung & Vu, Hai L. & Walton, Neil & Hoogendoorn, Serge P. & Kovács, Péter & Queija, Rudesindo N., 2017. "Utility optimization framework for a distributed traffic control of urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 539-558.
    2. Serdar Çolak & Antonio Lima & Marta C. González, 2016. "Understanding congested travel in urban areas," Nature Communications, Nature, vol. 7(1), pages 1-8, April.
    3. Divya Jayakumar Nair & Flavien Gilles & Sai Chand & Neeraj Saxena & Vinayak Dixit, 2019. "Characterizing multicity urban traffic conditions using crowdsourced data," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
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    Cited by:

    1. S. Travis Waller & Sai Chand & Aleksa Zlojutro & Divya Nair & Chence Niu & Jason Wang & Xiang Zhang & Vinayak V. Dixit, 2021. "Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data," Sustainability, MDPI, vol. 13(20), pages 1-27, October.
    2. Cui, Shaohua & Xue, Yongjie & Gao, Kun & Wang, Kai & Yu, Bin & Qu, Xiaobo, 2024. "Delay-throughput tradeoffs for signalized networks with finite queue capacity," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).

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