Efficient Collaborative Strategy for Last Mile Package Delivery OptimizationSalamanca Case Study

  1. Roberto Casado Vara 1
  2. Ricardo S. Alonso Rincón 1
  3. José Alberto García Coria 1
  4. Sara Rodríguez González 1
  5. Javier Prieto Tejedor 1
  1. 1 BISITE Research group, University of Salamanca
Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environments
  1. Carlos Ángel Iglesias Fernández (ed. lit.)
  2. José Ignacio Moreno Novella (ed. lit.)
  3. Alessandro Ricci (ed. lit.)
  4. Diego Rivera Pinto (ed. lit.)
  5. Dumitru Roman (ed. lit.)

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


Cited by

  • Web of Science Cited by: 0 (18-10-2023)


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.