Traffic resilience quantification based on macroscopic fundamental diagrams and analysis using topological attributes

Transportation system disruptions significantly impair transportation efficiency. This paper proposes new indicators derived from the Macroscopic Fundamental Diagram (MFD) dynamics before and after a disruption to evaluate its impact on traffic resilience. Considering that MFD is an intrinsic property of a homogeneously congested transportation network, the resilience losses due to congestion and network disruption are measured separately. The resilience loss is defined as the reduction in trip completion rate, comparing congested cases to uncongested cases or disrupted cases to undisrupted cases. The resilience loss hence also exists for an undisrupted network and is measurable by the proposed method. A Simulation of Urban MObility (SUMO) model is calibrated by real origin–destination patterns, to allow for experiments in scenarios of different demand variations and supply disruptions. Case studies are conducted in Munich, Germany and Kyoto, Japan to test the usefulness of the newly proposed indicators. The authors furthermore explore the relationship between resilience loss and network topological attributes such as centrality and connectivity from a variety of synthetic disruption experiments in Munich and Kyoto. They find that the resilience loss in a grid-like network as in Kyoto is less dependent on the degradation of network connectivity than in a ring-like network as in Munich.

• Record URL:
  https://doi.org/10.1016/j.ress.2024.110095
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0951832024001698
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09518320
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Lu, Qing-Long
  • 0000-0002-6087-8670
  • Sun, Wenzhe
  • 0000-0002-7305-8671
  • Dai, Jiannan
  • 0000-0002-4186-0088
  • Schmöcker, Jan-Dirk
  • 0000-0003-2219-9447
  • Antoniou, Constantinos
  • 0000-0003-0203-9542
• Publication Date: 2024-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 110095
• Serial:
  • Reliability Engineering & System Safety
  • Volume: 247
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0951-8320
  • Serial URL: https://www.sciencedirect.com/journal/reliability-engineering-and-system-safety

Subject/Index Terms

• TRT Terms: Connectivity; Macroscopic traffic flow; Networks; Reliability; Traffic congestion; Urban highways
• Identifier Terms: SUMO (Traffic simulation model)
• Geographic Terms: Kyoto (Japan); Munich (Germany)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01918091
• Record Type: Publication
• Files: TRIS
• Created Date: May 10 2024 4:50PM