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

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 conference › Paper › peer-review

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 language	English
Publication status	Published - 2013 Jan 1
Externally published	Yes
Event	20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan Duration: 2013 Oct 14 → 2013 Oct 18

Other

Other	20th Intelligent Transport Systems World Congress, ITS 2013
Country/Territory	Japan
City	Tokyo
Period	13/10/14 → 13/10/18

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

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title = "Simulation of a park-and-ride system and train scheduling using mathematical optimization",

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.",

keywords = "Mathematical Optimization, Multimodal, Park-and-Ride",

author = "Ryuhei Miyashiro and Yuichiro Miyamoto and Tanaka, {Ken Ichi} and Akira Yoshioka and Masahiro Kuwahara and Keiko Shimazaki",

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T1 - Simulation of a park-and-ride system and train scheduling using mathematical optimization

AU - Miyashiro, Ryuhei

AU - Miyamoto, Yuichiro

AU - Tanaka, Ken Ichi

AU - Yoshioka, Akira

AU - Kuwahara, Masahiro

AU - Shimazaki, Keiko

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

KW - Mathematical Optimization

KW - Multimodal

KW - Park-and-Ride

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M3 - Paper

AN - SCOPUS:84930183965

T2 - 20th Intelligent Transport Systems World Congress, ITS 2013

Y2 - 14 October 2013 through 18 October 2013

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

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