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Metaheuristic Method for Transport Modelling and Optimization

  • Stefka Fidanova
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 648)

Abstract

Public transport is a shared passenger transport service, which is available for use by general public. The operational efficiency of public transport is essential to provide good service. Therefore it needs to be optimized. The main public transport between cities, up to 1000 km, are trains and buses. It is important for transport operators to know how many peoples will use it. In this paper we propose a model of public transport. The problem is defined as multi-objective optimization problem. The two goals are minimum transportation time for all passengers and minimal price. We apply ant colony optimization approach to model the passenger flow. The model shows how many passengers will use a train and how many will use a bus according what is more important for them, the price or the time.

Keywords

Time Slot Public Transport Pareto Front Heuristic Information Passenger Flow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was partially supported by EC project AcomIn and by National Scientific fund by the grand I02/20.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria

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