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Demand and routing models for urban goods movement simulation

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  • Polimeni, Antonio
  • Russo, Francesco
  • Vitetta, Antonino

Abstract

This paper presents a macro-architecture for simulating goods movements in an urban area. Urban goods supply is analysed when the retailer is the decision-maker and chooses to supply his/her shop. Two components are considered: demand in terms of goods supply and vehicle routing with constraints to simulate goods movements. To analyse demand we consider a multi-step model, while to analyse goods movements a Vehicle Routing Problem with Time Windows (VRPTW) is formalized. We examine the distribution process for a VRPTW in which the optimum paths between all the customers are combined to determine the best vehicle trip chain. As regard optimum path search, a multipath approach is proposed that entails the generation of more than one path between two delivery points. Some procedures (traffic assignment, real time system measurement, reverse assignment) to estimate system performance are also proposed. Finally, heuristics to solve the proposed problem are reported and their results are compared with those exact.

Suggested Citation

  • Polimeni, Antonio & Russo, Francesco & Vitetta, Antonino, 2010. "Demand and routing models for urban goods movement simulation," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 46, pages 3-23.
    • Handle: RePEc:sot:journl:y:2010:i:46:p:3-23
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    File URL: http://hdl.handle.net/10077/6162
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    References listed on IDEAS

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    1. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, June.
    2. Jozefowiez, Nicolas & Semet, Frédéric & Talbi, El-Ghazali, 2009. "An evolutionary algorithm for the vehicle routing problem with route balancing," European Journal of Operational Research, Elsevier, vol. 195(3), pages 761-769, June.
    3. Naoki Ando & Eiichi Taniguchi, 2006. "Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows," Networks and Spatial Economics, Springer, vol. 6(3), pages 293-311, September.
    4. Francesco Russo & Antonino Vitetta, 2003. "An assignment model with modified Logit, which obviates enumeration and overlapping problems," Transportation, Springer, vol. 30(2), pages 177-201, May.
    5. Francesco Russo & Antonio Comi, 2010. "A modelling system to simulate goods movements at an urban scale," Transportation, Springer, vol. 37(6), pages 987-1009, November.
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    2. Thomas Baudel & Laetitia Dablanc & Penelope Aguiar-Melgarejo & Jean Ashton, 2015. "Optimizing Urban Freight Deliveries: From Designing and Testing a Prototype System to Addressing Real Life Challenges," Post-Print hal-01255153, HAL.

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