TY - GEN
T1 - Application of dijkstra's algorithm in the smart exit sign
AU - Cho, Jehyun
AU - Lee, Ghang
AU - Won, Jongsung
AU - Ryu, Eunseo
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - Previous studies on automated fire-egress guidance systems have focused on providing the shortest path information from a specific person at a certain point to the closest exit mostly using mobile device. This study aims to develop a Smart Exit Sign system that can detect dangerous areas in real time and direct evacuees to the shortest safe evacuation path by dynamically changing the direction signs to the safe egress. The challenge was to provide the shortest safe egress to any evacuees at any point. We have developed a sensor network and algorithm that could exclude unsafe paths and calculate the shortest safe path from multiple starting points to multiple exit points based on Dijkstra's algorithm-the most commonly used algorithm for finding the shortest path. The validity of the proposed system was tested through simulations of test cases.
AB - Previous studies on automated fire-egress guidance systems have focused on providing the shortest path information from a specific person at a certain point to the closest exit mostly using mobile device. This study aims to develop a Smart Exit Sign system that can detect dangerous areas in real time and direct evacuees to the shortest safe evacuation path by dynamically changing the direction signs to the safe egress. The challenge was to provide the shortest safe egress to any evacuees at any point. We have developed a sensor network and algorithm that could exclude unsafe paths and calculate the shortest safe path from multiple starting points to multiple exit points based on Dijkstra's algorithm-the most commonly used algorithm for finding the shortest path. The validity of the proposed system was tested through simulations of test cases.
UR - http://www.scopus.com/inward/record.url?scp=84912568221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912568221&partnerID=8YFLogxK
U2 - 10.22260/isarc2014/0030
DO - 10.22260/isarc2014/0030
M3 - Conference contribution
AN - SCOPUS:84912568221
T3 - 31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
SP - 224
EP - 229
BT - 31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
A2 - Ha, Quang
A2 - Shen, Xuesong
A2 - Akbarnezhad, Ali
PB - University of Technology Sydney
T2 - 31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014
Y2 - 9 July 2014 through 11 July 2014
ER -