Road infrastructure planning for CO2 reduction using mathematical optimization

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

Research output: Contribution to conferencePaper

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 languageEnglish
Publication statusPublished - 2013 Jan 1
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

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

Cite this

Miyamoto, Y., Miyashiro, R., Tanaka, K. I., Onishi, R., & Yoshioka, A. (2013). Road infrastructure planning for CO2 reduction using mathematical optimization. Paper presented at 20th Intelligent Transport Systems World Congress, ITS 2013, Tokyo, Japan.