DocumentCode :
2120419
Title :
Studies of Emergency Evacuation Strategies based on Kinematic Wave Models of Network Vehicular Traffic
Author :
Qiu, Kai-fu ; Jin, Wen-Long
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
222
Lastpage :
227
Abstract :
How to efficiently control traffic during emergency evacuation is an important research issue. An emergency evacuation strategy, one of the main control strategies, aims to identify the best routing strategy so as to fully utilize the available capacity of a transportation network. In this study, we model the evacuation traffic with a kinematic wave model of network vehicular traffic. We present two evacuation route guidance strategies: one is to maximize the total number of vehicles evacuated from the origin zone during a period of time, and the other is a myopic strategy based on local traffic supplies of downstream links at an intersection. The first strategy is an offline strategy and can be solved by a genetic algorithm, while the second one can be solved online. The performances of the proposed methods are tested with a simple road network.
Keywords :
genetic algorithms; road safety; road traffic; emergency evacuation strategies; evacuation traffic; genetic algorithm; kinematic wave models; myopic strategy; network vehicular traffic; road network; routing strategy; traffic control; transportation network; Communication system traffic control; Genetic algorithms; Kinematics; Navigation; Performance evaluation; Routing; Telecommunication traffic; Traffic control; Transportation; Vehicles; Emergency evacuation; Genetic algorithm; Kinematic wave model; Route guidance; Traffic supply;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
Type :
conf
DOI :
10.1109/ITSC.2008.4732595
Filename :
4732595
Link To Document :
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