Location-Based Route Choice Model under Random Regret Minimization

In recent years, the random regret minimization (RRM) model has arisen as the counterpart of the random utility minimization (RUM) model in the transportation analysis. In the conventional RRM model, the inability to account for the route perception variance is shown with a two-route small network. Considering the route length of different alternatives, a location-based model is proposed in this paper. In the newly proposed model, two ratios - including the ratio between considered regret and alternative route travel time and the ratio between considered route travel time and alternative route travel time - play an important role in the modification. With the proposed model, the choice probability for the two-route testing network is calculated again and the anticipated choice probability is shown. With a medium-sized traffic network, the choice probability for different routes restricted to a specific Origin Destination (OD) pair is also calculated to demonstrate the effectiveness of the newly proposed model.

• Record URL:
  • https://doi.org/10.1061/9780784413623.305
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413623
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ji, Xiangfeng
  • Zhang, Jian
  • Hu, Yongkai
  • Ran, Bin
• Conference:
  • 14th COTA International Conference of Transportation Professionals
  • Location: Changsha , China
  • Date: 2014-7-4 to 2014-7-7
• Publication Date: 2014-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3177-3184
• Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

• TRT Terms: Detours; Location based services; Origin and destination; Probability; Route choice; Travel time
• Uncontrolled Terms: Random regret minimization; Random utility models
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01531285
• Record Type: Publication
• ISBN: 9780784413623
• Files: TRIS, ASCE
• Created Date: Jul 24 2014 3:21PM