High-occupancy vehicle lane management with tradable credit scheme: An equilibrium analysis

The tradable credit scheme (TCS), as a revenue-neutral management measure, has received much attention in the field of traffic management in recent years. This paper investigates the management performance of the TCS on high-occupancy vehicle (HOV) lanes with the approach of equilibrium analysis. The analysis is based on a commuting scenario in which commuters use a multi-lane highway with HOV lanes. The authors developed a basic system in which commuters have two alternative travel modes: driving alone in general-purpose (GP) lanes or carpooling in HOV lanes. Under this assumption, the HOV lane management with TCSs is formulated as a mathematical programming problem. The authors analyze the effects with respect to feasible TCSs, effective TCSs, and optimal TCSs, respectively. They extend the basic system by considering regular carpoolers with the scenario of HOVs choosing GP lanes. Under this situation, the HOV lane management with TCSs is formulated as a variational inequality problem. The authors further analyze the management effects of different TCSs. Numerical examples demonstrate system indicators with several typical states, the impact of key parameters on TCS management performance, and the feature of the extended system in typical scenarios. Results show that the optimal TCS is achievable in the basic system by limiting the traffic flow of GP lanes. However, the optimal TCS may not exist in the extended system considering regular carpoolers, and a sufficient condition is proposed to guarantee its existence.

• Record URL:
  https://doi.org/10.1016/j.tre.2020.102120
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554520307687
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zang, Guangzhi
  • Xu, Meng
  • Gao, Ziyou
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 144
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Carpools; Commuters; General purpose lanes; High occupancy vehicle lanes; Highway traffic control; Traffic equilibrium; Traffic flow
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01760791
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 11 2020 3:06PM