TY  - JOUR
PY  - 1996//
TI  - Decision-making system for freeway incident response using sequential hypothesis testing methods
JO  - Transportation research record
A1  - Madanat, Samer M.
A1  - Cassidy, Michael
A1  - Teng, Hua-Liang
A1  - Liu, Pen-Chi
SP  - 228
EP  - 235
VL  - 1554
IS  - 
N2  - Recent research in advanced traffic management systems has emphasized incident detection and response to mitigate nonrecurring congestion. Existing incident response decision-making algorithms do not account for the expected losses associated with false alarms, undetected incidents, and delayed incident response. A freeway incident response decision-making system based on sequential hypothesis testing techniques is presented. The primary feature of this decision-making system is that it minimizes the sum of the expected losses associated with false response, nonresponse, and delayed responses to incidents through a dynamic programming algorithm. The results of simulation tests indicate that this algorithm performs better than typical Bayesian incident response algorithms for mean response time, false response rate, and nonresponse rate.<p /> <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.3141/1554-27
ID  - ref1
ER  -