DocumentCode
3461596
Title
Assessing the benefits of coordination in automatically controlled vehicles
Author
Choi, Woosuk ; Darbha, Swaroop
Author_Institution
Dept. of Mech. Eng., Texas A&M Univ., TX, USA
fYear
2001
fDate
2001
Firstpage
70
Lastpage
75
Abstract
We present a methodology for assessing the benefits of coordination on the safety of a platoon during emergency braking. When every following vehicle brakes at its maximum possible deceleration in response to hard braking by the lead vehicle in the platoon, it is referred to as uncoordinated braking. A braking strategy B is referred to be more beneficial than a strategy A, if strategy B leads to a larger reduction in the probability of a collision, the expected number of collisions, and the expected relative velocity at impact as compared to strategy A. The sequence of maximum deceleration of vehicles in the platoon is assumed to be a sequence of independent and identically distributed random variables; this distribution is assumed to be discrete and known. Due to coordination, the "effective" deceleration of a following vehicle may not necessarily be its maximum value. The problem of assessing the benefits of coordination can be initiated by dealing with determining the probability distribution of the "effective" deceleration of following vehicles during emergency braking. It is intuitive that the smaller the variance of this distribution, the greater the safety benefits are. We present a coordination strategy, which offers distinct safety benefits in the asymptotic cases
Keywords
acceleration control; automated highways; automobiles; braking; probability; safety; automobiles; coordination control; deceleration; emergency braking; platoon; probability distribution; safety; Automated highways; Automatic control; Mechanical engineering; Mobile robots; Probability distribution; Random variables; Remotely operated vehicles; Road safety; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location
Oakland, CA
Print_ISBN
0-7803-7194-1
Type
conf
DOI
10.1109/ITSC.2001.948632
Filename
948632
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