Efficient Collaborative Strategy for Last Mile Package Delivery OptimizationSalamanca Case Study

  1. Roberto Casado-Vara 1
  2. Ricardo S. Alonso 1
  3. JoseA. García-Coria 1
  4. Sara Rodríguez 1
  5. Javier Prieto 1
  1. 1 BISITE Research group, University of Salamanca
Book:
Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environments
  1. CarlosA. Iglesias (coord.)
  2. Jose Ignacio Moreno Novella (coord.)
  3. Alessandro Ricci (coord.)
  4. Diego Rivera Pinto (coord.)
  5. Dumitru Roman (coord.)

Publisher: IOS Press

ISBN: 978-1-64368-091-0,  978-1-64368-090-3

Year of publication: 2020

Pages: 353-360

Type: Book chapter

DOI: 10.3233/AISE200060 WoS: WOS:000782470100038 DIALNET GOOGLE SCHOLAR

Sustainable development goals

Abstract

The continuous movement of package delivery vehicles in cities is one of the problems affecting urban traffic. These delivery vehicles have a very tight schedule to deliver a high number of packages and improve the experience of customers shopping online. In this paper, we propose a new strategy for collaborative truck routing. This new strategy uses complex network concepts and graphing algorithms to find an optimal route for packages to be delivered on time, reducing the distances that deliverers must travel in cities. To test the efficiency of this new strategy, simulations have been designed for the city of Salamanca (Spain). Those simulations have shown that there is a considerable improvement if delivery companies use the new strategy.

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Funding information

This research has been supported by the project "Intelligent and sustainable mobility supported by multi-agent systems and edge computing (InEDGEMobility): Towards Sustainable Intelligent Mobility: Blockchain-based framework for IoT Security", Reference: RTI2018-095390-B-C32, financed by the Spanish Ministry of Science, Innovation and Universities (MCIU), the State Research Agency (AEI) and the European Regional Development Fund (FEDER).

Funders

  • European Regional Development Fund (FEDER) Spain
  • Spanish Ministry of Science, Innovation and Universities (MCIU) Spain
    • RTI2018-095390-B-C32
  • State Research Agency (AEI) Spain
Data source: Dialnet