Regional dynamic traffic assignment with bounded rational drivers as a tool for assessing the emissions in large metropolitan areas

Data-driven surveys show that drivers do not always choose the shortest-path for their travels. The ideas of bounded rationality have been used to model this behavior, and relax the main assumption of travel time minimization of the User Equilibrium principle. In this paper, the authors propose an extension of an existing dynamic traffic assignment framework, for aggregated traffic models based on the Macroscopic Fundamental Diagram and regional networks, that extends the principle of the User Equilibrium to account for bounded rational drivers. The authors focus on drivers with indifferent preferences, and with preferences for more reliable travel times. The network equilibrium is calculated through Monte Carlo simulations and the classical Method of Successive Averages. The authors first investigate how the drivers' preferences for reliable travel times influences the traffic dynamics in the regional network. The authors then discuss a potential application example of the proposed methodological framework for estimating the emissions of Carbon Dioxide CO₂ and Monoxide NOₓ at the network level. The results shed light on the importance of properly accounting for more realistic drivers' behavior for estimating emissions. The main contributions of this study lie on the edge between the disciplines of traffic flow theory and network modeling, with a great potential of application for practitioners to assess traffic emissions on large metropolitan areas.

• Record URL:
  • https://doi.org/10.1016/j.trip.2020.100248
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2590198220301597
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/25901982
• Supplemental Notes:
  • © 2020 S F A Batista and Ludovic Leclercq. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Batista, S F A
  • Leclercq, Ludovic
• Publication Date: 2020-11

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Transportation Research Interdisciplinary Perspectives
  • Volume: 8
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2590-1982
  • Serial URL: https://www.journals.elsevier.com/transportation-research-interdisciplinary-perspectives
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Behavior; Carbon dioxide; Decision making; Diagrams; Drivers; Dynamic traffic assignment; Evaluation and assessment; Macroscopic traffic flow; Mathematical models; Metropolitan areas; Monte Carlo method; Networks; Nitrogen oxides; Pollutants; Traffic flow theory; Travel time
• Subject Areas: Environment; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01762948
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 29 2021 4:27PM