Road infrastructure planning for CO2 reduction using mathematical optimization

Yuichiro Miyamoto; Ryuhei Miyashiro; Ken Ichi Tanaka; Ryokichi Onishi; Akira Yoshioka

Road infrastructure planning for CO₂ reduction using mathematical optimization

Yuichiro Miyamoto, Ryuhei Miyashiro, Ken Ichi Tanaka, Ryokichi Onishi, Akira Yoshioka

Research output: Contribution to conference › Paper › peer-review

Abstract

In this study, we address a road infrastructure planning problem by relieving traffic congestion and thereby reducing CO₂ emission. We model it as a mathematical optimization problem whose objective is to minimize the total travel time by improving road-infrastructures under the given budget. We take into account the interactions between vehicles at road intersections. By introducing an approximation technique for the interactions, the proposed model is practical in terms of both computational time and accuracy of the obtained planning. Computational results show that the obtained optimal plan for the improvement of road-infrastructures significantly reduces CO₂ emission.

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

CO Reduction
Mathematical Optimization
Traffic Congestion

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{d79e339bc3a7466c9fed7f91c63f0fc8,

title = "Road infrastructure planning for CO2 reduction using mathematical optimization",

abstract = "In this study, we address a road infrastructure planning problem by relieving traffic congestion and thereby reducing CO2 emission. We model it as a mathematical optimization problem whose objective is to minimize the total travel time by improving road-infrastructures under the given budget. We take into account the interactions between vehicles at road intersections. By introducing an approximation technique for the interactions, the proposed model is practical in terms of both computational time and accuracy of the obtained planning. Computational results show that the obtained optimal plan for the improvement of road-infrastructures significantly reduces CO2 emission.",

keywords = "CO Reduction, Mathematical Optimization, Traffic Congestion",

author = "Yuichiro Miyamoto and Ryuhei Miyashiro and Tanaka, {Ken Ichi} and Ryokichi Onishi and Akira Yoshioka",

year = "2013",

month = jan,

day = "1",

language = "English",

note = "20th Intelligent Transport Systems World Congress, ITS 2013 ; Conference date: 14-10-2013 Through 18-10-2013",

}

TY - CONF

T1 - Road infrastructure planning for CO2 reduction using mathematical optimization

AU - Miyamoto, Yuichiro

AU - Miyashiro, Ryuhei

AU - Tanaka, Ken Ichi

AU - Onishi, Ryokichi

AU - Yoshioka, Akira

PY - 2013/1/1

Y1 - 2013/1/1

N2 - In this study, we address a road infrastructure planning problem by relieving traffic congestion and thereby reducing CO2 emission. We model it as a mathematical optimization problem whose objective is to minimize the total travel time by improving road-infrastructures under the given budget. We take into account the interactions between vehicles at road intersections. By introducing an approximation technique for the interactions, the proposed model is practical in terms of both computational time and accuracy of the obtained planning. Computational results show that the obtained optimal plan for the improvement of road-infrastructures significantly reduces CO2 emission.

AB - In this study, we address a road infrastructure planning problem by relieving traffic congestion and thereby reducing CO2 emission. We model it as a mathematical optimization problem whose objective is to minimize the total travel time by improving road-infrastructures under the given budget. We take into account the interactions between vehicles at road intersections. By introducing an approximation technique for the interactions, the proposed model is practical in terms of both computational time and accuracy of the obtained planning. Computational results show that the obtained optimal plan for the improvement of road-infrastructures significantly reduces CO2 emission.

KW - CO Reduction

KW - Mathematical Optimization

KW - Traffic Congestion

UR - http://www.scopus.com/inward/record.url?scp=85083942461&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85083942461&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85083942461

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

Y2 - 14 October 2013 through 18 October 2013

ER -