DocumentCode
181562
Title
Results and issues of an automated truck platoon within the energy ITS project
Author
Tsugawa, Sho
Author_Institution
Meijo Univ., Nagoya, Japan
fYear
2014
fDate
8-11 June 2014
Firstpage
642
Lastpage
647
Abstract
This paper presents an automated truck platoon that has been developed within a national ITS project named "Energy ITS," and the results and future issues. The five-year project started in 2008 aimed at energy saving and global warming prevention with automated driving. A platoon of three fully-automated heavy trucks and also a fully-automated light truck drove at 80 km/h with the gap of up to 4.7 m on a test truck. The lateral control was based on the lane marker detection by computer vision, and the longitudinal control was based on gap measurement by 76 GHz radar and lidar in addition to the inter-vehicle communications of 5.8 GHz DSRC and infrared. The radar and lidar also worked as the obstacle detection. The feature of the technologies is high reliability. Fuel consumption measurement on a test track shows that the fuel can be saved by about 15 % when the gap was 4.7 m. A simulation study shows that the effectiveness of the platooning with the gap of 10 m when the 40 % penetration in heavy trucks is 2.1 % reduction of CO2 along an expressway. In addition, experiments of four heavy trucks with CACC were also conducted for the introduction scenario. The technological and non-technological issues on automated driving and its introduction are also discussed.
Keywords
computer vision; control engineering computing; intelligent transportation systems; road traffic control; road vehicles; automated driving; automated truck platoon; computer vision; energy ITS project; energy saving; gap measurement; global warming prevention; intelligent transportation systems; lateral control; longitudinal control; Control systems; Fuels; Laser radar; Reliability; Safety; Sensors; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location
Dearborn, MI
Type
conf
DOI
10.1109/IVS.2014.6856400
Filename
6856400
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