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Dynamic learning-based search for multi-criteria itinerary planning

Author

Listed:
  • Horstmannshoff, Thomas
  • Ehmke, Jan Fabian
  • Ulmer, Marlin W.

Abstract

Travelers expect integrated and multimodal itinerary planning while addressing their individual expectations. Besides common preferences such as travel time and price, further criteria such as walking and waiting times are of importance as well. The competing features of these preferences yield a variety of non-dominated itineraries. Finding the set of non-dominated multimodal travel itineraries in efficient run time remains a challenge in case multiple traveler preferences are considered.

Suggested Citation

  • Horstmannshoff, Thomas & Ehmke, Jan Fabian & Ulmer, Marlin W., 2024. "Dynamic learning-based search for multi-criteria itinerary planning," Omega, Elsevier, vol. 129(C).
    • Handle: RePEc:eee:jomega:v:129:y:2024:i:c:s0305048324001245
    DOI: 10.1016/j.omega.2024.103159
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