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SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions

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  • Sakai, Takanori
  • Romano Alho, André
  • Bhavathrathan, B.K.
  • Chiara, Giacomo Dalla
  • Gopalakrishnan, Raja
  • Jing, Peiyu
  • Hyodo, Tetsuro
  • Cheah, Lynette
  • Ben-Akiva, Moshe

Abstract

Despite significant advances in freight transport modeling in recent years, there is still lack of available tools for evaluating novel logistics solutions. We introduce the framework of SimMobility Freight, which is part of SimMobility, a multi-scale agent-based urban transportation simulation platform. SimMobility Freight is capable of simulating commodity contracts, logistics and vehicle operation planning and parking decisions in a fully-disaggregate manner. This allows us to evaluate alternative logistics solutions and measure their impacts. To illustrate its capability, we conduct an analysis of delivery time window regulations, assessing the policy impacts.

Suggested Citation

  • Sakai, Takanori & Romano Alho, André & Bhavathrathan, B.K. & Chiara, Giacomo Dalla & Gopalakrishnan, Raja & Jing, Peiyu & Hyodo, Tetsuro & Cheah, Lynette & Ben-Akiva, Moshe, 2020. "SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:transe:v:141:y:2020:i:c:s1366554520306682
    DOI: 10.1016/j.tre.2020.102017
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    2. Takanori Sakai & B. K. Bhavathrathan & André Alho & Tetsuro Hyodo & Moshe Ben-Akiva, 2020. "Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model," Transportation, Springer, vol. 47(2), pages 997-1025, April.
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    Cited by:

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    5. Edoardo Marcucci & Valerio Gatta & Michela Le Pira & Lisa Hansson & Svein Bråthen, 2020. "Digital Twins: A Critical Discussion on Their Potential for Supporting Policy-Making and Planning in Urban Logistics," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
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