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Enhancing flexible transport services with demand-anticipatory insertion heuristics

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  • van Engelen, Matti
  • Cats, Oded
  • Post, Henk
  • Aardal, Karen

Abstract

Developments in vehicle automation and the shared economy call for new developments in routing flexible transport services. We 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.

Suggested Citation

  • van Engelen, Matti & Cats, Oded & Post, Henk & Aardal, Karen, 2018. "Enhancing flexible transport services with demand-anticipatory insertion heuristics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 110-121.
  • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:110-121
    DOI: 10.1016/j.tre.2017.12.015
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    6. Andres Fielbaum & Maximilian Kronmueller & Javier Alonso-Mora, 2022. "Anticipatory routing methods for an on-demand ridepooling mobility system," Transportation, Springer, vol. 49(6), pages 1921-1962, December.
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    8. Rich, Jeppe & Seshadri, Ravi & Jomeh, Ali Jamal & Clausen, Sofus Rasmus, 2023. "Fixed routing or demand-responsive? Agent-based modelling of autonomous first and last mile services in light-rail systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    9. Winter, Konstanze & Cats, Oded & Martens, Karel & van Arem, Bart, 2021. "Parking space for shared automated vehicles: How less can be more," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 61-77.
    10. Ma, Jiaxin & Chen, Xumei & Xing, Ziwen & Zhang, Yixin & Yu, Lei, 2023. "Improving the performance of airport shuttle through demand-responsive service with dynamic fare strategy considering mixed demand," Journal of Air Transport Management, Elsevier, vol. 112(C).
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