Simulation of a park-and-ride system and train scheduling using mathematical optimization

Ryuhei Miyashiro, Yuichiro Miyamoto, Ken Ichi Tanaka, Akira Yoshioka, Masahiro Kuwahara, Keiko Shimazaki

Research output: Contribution to conferencePaper

Abstract

In simulation of evaluating a park-and-ride system, a timetable of associated public transportation strongly affects the simulation results. Conventional traffic-flow simulators that examine the effectiveness of a park-and-ride system are insufficient, because it is not practically possible to consider all timetables of the public transportation. In this study, using a mathematical optimization technique, we develop a method to obtain an optimal train timetable for a road network employing a park-and-ride system. The proposed method enables us to assess the effectiveness of a park-and-ride system more accurately to reduce congestion on a road network.

Original languageEnglish
Publication statusPublished - 2013 Jan 1
Externally publishedYes
Event20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan
Duration: 2013 Oct 142013 Oct 18

Other

Other20th Intelligent Transport Systems World Congress, ITS 2013
CountryJapan
CityTokyo
Period13/10/1413/10/18

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Keywords

  • Mathematical Optimization
  • Multimodal
  • Park-and-Ride

ASJC Scopus subject areas

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Miyashiro, R., Miyamoto, Y., Tanaka, K. I., Yoshioka, A., Kuwahara, M., & Shimazaki, K. (2013). Simulation of a park-and-ride system and train scheduling using mathematical optimization. Paper presented at 20th Intelligent Transport Systems World Congress, ITS 2013, Tokyo, Japan.