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

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

INF - Human-Social Information Sciences

Research output: Contribution to conference › Paper › peer-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 language	English
Publication status	Published - 2013 Jan 1
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

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

Cite this

Application methodology of a CO2 emission model combined with a mesoscopic traffic simulation model. / Kanari, Shuichi; Hayashi, Seiji; Hirai, Hiroshi; Nakano, Maya; Kimura, Shin; Yonezawa, Mitsuo; Kuwahara, Masao.

2013. Paper presented at 20th Intelligent Transport Systems World Congress, ITS 2013, Tokyo, Japan.

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

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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.",

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AU - Kanari, Shuichi

AU - Hayashi, Seiji

AU - Hirai, Hiroshi

AU - Nakano, Maya

AU - Kimura, Shin

AU - Yonezawa, Mitsuo

AU - Kuwahara, Masao

PY - 2013/1/1

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N2 - 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.

AB - 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.

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KW - ITS masure

KW - Regional area

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

Abstract

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Keywords

ASJC Scopus subject areas

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