Enhancing flexible transport services with demand-anticipatory insertion heuristics

Developments in vehicle automation and the shared economy call for new developments in routing flexible transport services. The authors propose a new type of insertion algorithm: an online dynamic insertion algorithm with demand forecasts. The performance of this algorithm is tested in a simulation model for a case study network in the Netherlands. When combining the new insertion algorithm with empty vehicle rerouting, 98% of passenger rejections are eliminated and travel and waiting times are reduced by up to 10 and 46% respectively, compared to traditional insertion algorithms. A sensitivity analysis tested performance robustness to variations in operational and demand conditions.

• Record URL:
  https://doi.org/10.1016/j.tre.2017.12.015
• Record URL:
  https://www.sciencedirect.com/science/article/pii/S1366554517307810
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • van Engelen, Matti
  • Cats, Oded
  • Post, Henk
  • Aardal, Karen
• Publication Date: 2018-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 110-121
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 110
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Algorithms; Automation; Demand; Heuristic methods; Sensitivity analysis; Transportation planning
• Geographic Terms: Netherlands
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01661115
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 23 2018 4:40PM