Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

The Influence of Multi-agent Cooperation on the Efficiency of Taxi Dispatching

Authors

[ 1 ] Instytut Maszyn Roboczych i Pojazdów Samochodowych, Wydział Maszyn Roboczych i Transportu, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Keywords
EN
  • dynamic taxi dispatching
  • dynamic vehicle routing
  • on-line optimization
  • multi-agent simulation
  • matsim
  • traffic flow simulation
  • simulation-based optimization
Abstract

EN The paper deals with the problem of the optimal collaboration scheme in taxi dispatching between customers, taxi drivers and the dispatcher. The authors propose three strategies that differ by the amount of information exchanged between agents and the intensity of cooperation between taxi drivers and the dispatcher. The strategies are evaluated by means of a microscopic multi-agent transport simulator (MATSim) coupled with a dynamic vehicle routing optimizer (DVRP Optimizer), which allows to realistically simulate dynamic taxi services as one of several different transport means, all embedded into a realistic environment. The evaluation is carried out on a scenario of the Polish city of Mielec. The results obtained prove that the cooperation between the dispatcher and taxi drivers is of the utmost importance, while the customer–dispatcher communication may be reduced to minimum and compensated by the use of more sophisticated dispatching strategies, thereby not affecting the quality of service.

Pages (from - to)

751 - 760

DOI

10.1007/978-3-642-55195-6_71

URL

https://link.springer.com/chapter/10.1007/978-3-642-55195-6_71

Book

Parallel Processing and Applied Mathematics : 10th International Conference, PPAM 2013, Warsaw, Poland, September 8-11, 2013, Revised Selected Papers, Part II

Presented on

10th International Conference on Parallel Processing and Applied Mathematics, PPAM 2013, 8-11.09.2013, Warsaw, Poland

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.