DocumentCode :
856581
Title :
Longitudinal control of heavy trucks in mixed traffic: environmental and fuel economy considerations
Author :
Zhang, Jianlong ; Ioannou, Petros A.
Author_Institution :
Dept. of Electr. Eng.Syst., Univ. of Southern California, Los Angeles, CA
Volume :
7
Issue :
1
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
92
Lastpage :
104
Abstract :
In this paper, longitudinal vehicle-following controllers for heavy trucks with different spacing policies are designed, analyzed, simulated, and experimentally tested, and their performance in mixed traffic with passenger vehicles is evaluated. A new vehicle-following controller for trucks, which has better properties than existing ones with respect to performance and impact on fuel economy and pollution during traffic disturbances, is developed. The response of trucks to disturbances caused by lead passenger vehicles is smooth due to the limited acceleration capabilities of trucks whether they are manual or equipped with adaptive cruise control (ACC) systems. Vehicles following the truck are therefore presented with a smoother speed trajectory to track. This filtering effect of trucks is shown to have beneficial effects on fuel economy and pollution. However, it creates large intervehicle gaps that invite cut-ins from neighboring lanes, creating additional disturbances. These cut-ins, under certain realistic scenarios, may reduce any benefits obtained by the smooth response of trucks as well as increase travel time. The results of this paper indicate possible benefits trucks may have in mixed traffic and also reinforces what is already known-that trucks could be detrimental to traffic flow
Keywords :
adaptive control; air pollution control; fuel economy; road traffic; road vehicles; velocity control; adaptive cruise control system; environmental economy consideration; fuel economy consideration; heavy trucks; longitudinal vehicle following control; passenger vehicles; speed trajectory; Acceleration; Adaptive control; Analytical models; Fuel economy; Performance analysis; Pollution; Programmable control; Testing; Traffic control; Vehicles; Adaptive control; automated highway systems; emission; fuel economy; vehicle automation;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2006.869597
Filename :
1603555
Link To Document :
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