Fuel Consumption Analysis and Prediction Model for "Eco" Route Search
This paper presents a fuel consumption analysis and prediction ecological route search model that generates routes requiring the least amount of fuel by considering many factors such as traffic information, geographic information, and vehicle parameters, including driver behavior. The authors report on the fuel consumption prediction model and the results of comparative driving experiments using this ecological route search as well as using conventional time priority route search methods. This study is representative of one of the ways that intelligent transport systems (ITS) technologies have been used to develop ways to reduce fuel consumption by avoiding traffic congestion. They conclude that, for future ITS technologies related to fuel consumption reduction, including ecological routes, it will be very important to have an index of fuel reduction effects.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Kono, Toshiaki
- Fushiki, Takumi
- Asada, Katsuya
- Nakano, Kenjiro
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Conference:
- 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting
- Location: New York NY, United States
- Date: 2008-11-16 to 2008-11-20
- Publication Date: 2008
Language
- English
Media Info
- Media Type: CD-ROM
- Features: Figures; Maps; References; Tables;
- Pagination: 9p
- Monograph Title: ITS Connections: Saving Time. Saving Lives
Subject/Index Terms
- TRT Terms: Carbon dioxide; Driver information systems; Driver support systems; Environmental impacts; Exhaust gases; Fuel consumption; Geography; Intelligent transportation systems; Mathematical prediction; Route choice; Traffic congestion; Travel time; Trip length
- Subject Areas: Data and Information Technology; Energy; Environment; Highways; I15: Environment;
Filing Info
- Accession Number: 01142426
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 26 2009 10:32AM