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Travel Time Reliability of Highway Network under Multiple Failure Modes

Author

Listed:
  • Wanxiang Wang

    (School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Ruijun Guo

    (School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

Abstract

Network reliability reflects a system’s ability to perform specified functions under specified topological and traffic conditions. Network reliability is the weighted sum of connection reliability and travel time reliability. Based on complex network theory, a new method was proposed to calculate the travel time reliability of road networks. The topology model of a regional highway network in China was built using the dual method. After a random attack or deliberate attack, node sizes in the sub-network can be used to reflect the node importance for network connection reliability. Some conclusions were drawn after the change in travel time coefficient and delay coefficient. The increases in the two coefficients will accelerate the decrease of travel time reliability of the highway network. After a comparison among three methods of travel time reliability, including variation coefficient, the misery indexes, and the new equation, the new method was further verified. The influence factors of highway network reliability were analyzed under the condition of different highway blockage and congestion.

Suggested Citation

  • Wanxiang Wang & Ruijun Guo, 2022. "Travel Time Reliability of Highway Network under Multiple Failure Modes," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7256-:d:838099
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    References listed on IDEAS

    as
    1. Clark, Stephen & Watling, David, 2005. "Modelling network travel time reliability under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 39(2), pages 119-140, February.
    2. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    3. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    4. Taylor, Michael A.P. & Susilawati,, 2012. "Remoteness and accessibility in the vulnerability analysis of regional road networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 761-771.
    5. Chen, Bi Yu & Li, Qingquan & Lam, William H.K., 2016. "Finding the k reliable shortest paths under travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 189-203.
    6. Snelder, M. & van Zuylen, H.J. & Immers, L.H., 2012. "A framework for robustness analysis of road networks for short term variations in supply," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 828-842.
    7. Yanshuo Sun & Jungang Shi & Paul M. Schonfeld, 2016. "Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro," Public Transport, Springer, vol. 8(3), pages 341-363, December.
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    Cited by:

    1. Yanan Zhang & Hongke Xu & Qing-Chang Lu & Xiaohui Fan, 2022. "Travel Time Reliability Analysis Considering Bus Bunching: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    2. Andrea Pompigna & Raffaele Mauro, 2022. "A Statistical Simulation Model for the Analysis of the Traffic Flow Reliability and the Probabilistic Assessment of the Circulation Quality on a Freeway Segment," Sustainability, MDPI, vol. 14(23), pages 1-21, November.

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