Signal Control Method for Reduction of CO2 Emission based on Information Gathering Using V2V and V2R Communication

2015 Fiscal Year Final Research Report

• Project/Area Number: 25330370
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Web informatics, Service informatics
• Research Institution: Shiga University
• Principal Investigator: Umedu Takaaki 滋賀大学, 経済学部, 准教授 (10346174)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: CO2排出削減 / 信号制御 / 車車間・路車間通信 / 高度交通システム

Outline of Final Research Achievements

It is important to reduce the amount of CO2 emission from vehicles, since it takes a large part of total CO2 emission. The amount of CO2 emission significantly depends on the behavior of a vehicle. So, smooth traffic conditions controlled by well-designed signal control strategy is effective for the purpose. There have been a lot of signal control methods designed for reducing stop duration of vehicles. However more effective way to reduce CO2 emission is to reduce frequency of stops of vehicles. In this paper, I discuss about simulation based evaluation of signal controlling method for CO2 reduction.

Free Research Field

高度交通システム、モバイルコンピューティング