@article{ref1,
title="Decision-making system for freeway incident response using sequential hypothesis testing methods",
journal="Transportation research record",
year="1996",
author="Madanat, Samer M. and Cassidy, Michael and Teng, Hua-Liang and Liu, Pen-Chi",
volume="1554",
number="",
pages="228-235",
abstract="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>",
language="en",
issn="0361-1981",
doi="10.3141/1554-27",
url="http://dx.doi.org/10.3141/1554-27"
}