Cited 3 time in webofscience Cited 0 time in scopus

Smart disaster response in vehicular tunnels: Technologies for search and rescue applications

Title
Smart disaster response in vehicular tunnels: Technologies for search and rescue applications
Authors
Kim, Young-DukSon, Guk-JinKim, HeeKangSong, ChanhoLee, Ji Hee
DGIST Authors
Kim, Young-Duk; Son, Guk-Jin; Kim, HeeKang; Song, Chanho; Lee, Ji Hee
Issue Date
2018-07
Citation
Sustainability, 10(7), 2509
Type
Article
Article Type
Article
Author Keywords
search and rescuedisaster responsetunnelsfirefighting
Keywords
EMERGENCY RESPONSELOCALIZATIONNETWORKSVEHICLESCLASSIFICATIONDESIGNRADAR
ISSN
2071-1050
Abstract
Recently, the number of tunnels is increasing due to urbanization, and fire accidents in tunnels are likewise increasing. In particular, in a long tunnel of more than 1 km it is very difficult to track the exact location of a fire, accident vehicles, and the fire brigade, as well as whether a fire occurred. In this paper, we analyze various types of accidents that may occur in tunnel fires and propose detection, search, and rescue techniques to cope with them. For early detection of accidents, we propose various sensors using Internet of Things (IoT) technology and sensor networks to connect them. These sensors can detect not only a fire but also the position of the vehicle in which the fire is occurring in real time. We also propose a robotic system and operation technique that can be controlled by a fire fighter for more precise search operation. For rescue procedures, localization and tracking technology for fire fighters and robots is proposed. Finally, the efficiency of the proposed system was verified through actual performance tests, including simulations of actual placement and operation in tunnels. Through the construction of the equipment in an actual tunnel 1.9 km long, we show that the proposed system is good enough to cope with fire accidents, in terms of the delivery ratio of the collected data, fire recognition ratio, localization accuracy, and response delay. © 2018 by the authors.
URI
http://hdl.handle.net/20.500.11750/9070
DOI
10.3390/su10072509
Publisher
MDPI AG
Related Researcher
  • Author Kim, Youngduk  
  • Research Interests IoT, Disaster Respnse, Autonomous System
Files:
Collection:
Division of Automotive Technology1. Journal Articles
Convergence Research Center for Future Automotive Technology1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE