Application methodology of a CO2 emission model combined with a mesoscopic traffic simulation model

Shuichi Kanari, Seiji Hayashi, Hiroshi Hirai, Maya Nakano, Shin Kimura, Mitsuo Yonezawa, Masao Kuwahara

Research output: Contribution to conferencePaperpeer-review

Abstract

The authors developed a mesoscopic CO2 emission model to estimate the effect of ITS measures. It is necessary to consider driving behavior when calculating the reduction of CO2 emission of ITS measures. However, mesoscopic traffic simulation models cannot expressly process driving behavior. Three options to consider driving behavior change in a mesoscopic CO2 emission model were suggested. The accuracy of Option 3 (designed running pattern method) was validated using the result of field tests for a normal driving case and an Eco-driving case. The authors confirmed that the result of field tests and the result calculated by the mesoscopic CO2 emission model have similar trends. As an example, we calculated the CO2 reduction effect using our mesoscopic model in Kashiwa City, for cases in which Eco-driving and Eco-routing are popularized.

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

  • CO2 emission
  • ITS masure
  • Regional area

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

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