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The Personalized Multi-criteria Route Planning Problem in Repeated Travel and Its Solution Algorithm

  • Ci-yun Lin
  • Bowen Gong
  • Zhi-jian Wang
  • Man-rong Yuan
  • Kai-jian Hu
  • Chen-gang Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

Existing research on the personalized multi-criteria route planning (PMRP) problem seldom considers drivers’ travel characteristics for different types of travel, which significantly affects a driver’s performance in reality. In this research, the PMRP problem in repeated travel is presented and defined. The relative differences between route-costs and their respective minimums are considered as the driver’s route choice criteria for repeated travel. The range of each criterion value from the driver’s experience data is introduced into the problem definition as the constraint. In addition, a travel-law-based route planning (TRP) algorithm is designed, implemented, and evaluated in comparison to the genetic algorithm (GA) for solving the proposed problem. The comparison results show that the TRP algorithm achieved better results in terms of running time, criteria values, and comprehensive objective function values. The experimental results also show that for the given cases, the TRP algorithm effectively avoided impractical solutions and achieved a 0.96-second average run time to reach approximate comprehensive objective function values for the routes chosen by two drivers in practice over a real-road network with 2000 nodes and 7014 edges using a PC with a 2.53-GHz-CoreTM i5-based dual-core processor.

Keywords

Personalized multi-criteria route planning Driver’s route choice behavior Travel-law-based route planning algorithm Genetic algorithm Shortest path 

Notes

Acknowledgements

The authors acknowledge the Science and technology project of Jilin Provincial Education Department (Grant No. JJKH20170810KJ and JJKH20180150KJ) and Youth Scientific Research Fund of Jilin (Grant No. 20180520075JH) are partly support this work.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ci-yun Lin
    • 1
  • Bowen Gong
    • 1
  • Zhi-jian Wang
    • 2
  • Man-rong Yuan
    • 3
  • Kai-jian Hu
    • 4
  • Chen-gang Wang
    • 5
  1. 1.College of Transportation, Jilin UniversityChangchunChina
  2. 2.College of Electrical and Control EngineeringNorth China University of TechnologyBeijingChina
  3. 3.Traffic Police SquadKunming Municipal Public Security BureauKunmingChina
  4. 4.Jinan Automobile Test CentreJinanChina
  5. 5.Some Troops of North TheaterShenyangChina

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