@article{ref1,
title="Evaluation of a reservation-based intersection control algorithm for hurricane evacuation with autonomous vehicles",
journal="International journal of disaster risk reduction",
year="2018",
author="Chang, Yohan and Edara, Praveen",
volume="31",
number="",
pages="1152-1158",
abstract="A reservation-based intersection control algorithm was implemented for hurricane evacuation in a connected and autonomous vehicle environment. The autonomous reservation-based intersection control (AReBIC) algorithm receives and processes reservation requests from approaching vehicles in real-time and routes them free of conflict. The proposed algorithm was implemented in a simulation model of a road network in Hampton Roads, Virginia. The AReBIC algorithm outperformed the next best optimal signal control on all operational measures. The average speeds more than doubled and total delay decreased by 80%. While the total number of conflicts were comparable for AReBIC and optimal signal control, AReBIC traded the more severe crossing conflicts with less severe rear-end conflicts. The same superior performance of AReBIC was realized when transit signal priority was implemented in the study network. While the results are promising, a few practical issues should be addressed prior to any real-world implementation of reservation-based intersection control during evacuation. These issues include, latency and accuracy of communications, accommodation of pedestrians, accounting for incidents, and cybersecurity.<p /> <p>Language: en</p>",
language="en",
issn="2212-4209",
doi="10.1016/j.ijdrr.2017.09.001",
url="http://dx.doi.org/10.1016/j.ijdrr.2017.09.001"
}