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The balanced dispatching problem in passengers transport services on demand

  • Patricio J. Araya-Córdova
  • , Fabián Díaz-Nuñez
  • , Javier Moraga
  • , Franco Quezada
  • , Luis Rojo-González
  • , Óscar C. Vásquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce the balanced dispatching problem in passengers transport services on demand, such as taxi services, and propose an easy-to-implement algorithm in an online scenario, where all necessary information is only revealed with the arrival of requested transport services, seeking to guarantee quality of service for the passengers as well as balancing the income received by the drivers of the vehicles who perform the transportation services. The algorithm is based on theoretical results from the balanced incomes per worked time through the income variance minimization problem for two transport vehicles, considering the incoming service tariff, the performed services and the worked time by the transport vehicle drivers during the pay period in an online scenario. We compare our algorithm with the online dispatching algorithm currently used by Chilean companies on real instances. The numerical experiments are based on three different data sets of real instances such a labour day, one week, and one month, respectively. The obtained results show that the proposed algorithm is able to efficiently reduce the income dispersion among transport vehicle drivers within reduced running times, allowing a practical implementation into an automated dispatching system.

Original languageEnglish
Title of host publicationComputational Logistics - 9th International Conference, ICCL 2018, Proceedings
EditorsRaffaele Cerulli, Andrea Raiconi, Stefan Voß
PublisherSpringer Verlag
Pages379-387
Number of pages9
ISBN (Print)9783030008970
DOIs
Publication statusPublished - 1 Jan 2018
Event9th International Conference on Computational Logistics, ICCL 2018 - Vietri sul Mare, Italy
Duration: 1 Oct 20183 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Computational Logistics, ICCL 2018
Country/TerritoryItaly
CityVietri sul Mare
Period1/10/183/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Dispatching problem
  • Online dispatching algorithm
  • Passengers transport services

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