Integrating uncertainty considerations into multi-objective transportation network design projects accounting for environment disruption

Few previous works integrated both uncertainty and environment disruption into traffic network design problems (NDPs). This study aims to address this gap. First, the mathematical framework of the strategic user equilibrium (StrUE) traffic assignment under volatility of both total travel demand and link capacity is analyzed. Second, the authors incorporate the StrUE traffic assignment into a network design project and propose a multi-objective bi-level NDP program. Two objective functions are formulated, which are respectively to minimize the expected total system travel time and minimize the expected total system off-gas emissions under StrUE. Third, the authors develop two tailored solution methods – an enumerative algorithm and a metaheuristic method based on a genetic algorithm. Finally, systematic evaluation of the performance of the proposed approach is conducted. The results highlight that ignoring uncertainty considerations can result in sub-optimal design solutions in terms of expected network performance. Also, the two objectives, to minimize system-level travel time and vehicle emission, are conflicting for certain design scenarios.

• Record URL:
  • https://doi.org/10.1080/19427867.2017.1359940
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
• Supplemental Notes:
  • © 2017 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Zhang, Xiang
  • Waller, S Travis
  • Rey, David
  • Duell, Melissa
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 351-361
• Serial:
  • Transportation Letters: The International Journal of Transportation Research
  • Volume: 11
  • Issue Number: 7
  • Publisher: Taylor & Francis
  • ISSN: 1942-7867
  • EISSN: 1942-7875
  • Serial URL: http://www.tandfonline.com/toc/ytrl20/current

Subject/Index Terms

• TRT Terms: Combinatorial analysis; Genetic algorithms; Network analysis (Planning); Pollutants; Traffic assignment; Travel demand; Travel time; Uncertainty
• Subject Areas: Environment; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01710772
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 12 2019 4:58PM