An experimental study on smart phone evacuation information system in the large building using location estimation system based on wi-fi

Yong Hee Jeong, Wook Jung Na, Won Hwa Hong

Research output: Contribution to journalArticlepeer-review

Abstract

This study probed into the feasibility of a smartphone-based indoor evacuation information system combined with indoor positioning technology as a measure to increase the evacuation efficiency of the occupants in a large and complicated space in an emergency. In other words, this study intended to build an interactive smartphone evacuation application development system based on the technology of positioning the occupant using LBS(Location Based Service). The precise positioning technique took precedence over the system development, and this study used existing RSSI(Received Signal Strength Intensity) type AP, the recent indoor positioning technology with high applicability and reliability and proved that such a technology is capable of determining whether the space is occupied and the position of occupants precisely through measurements and tests. The indoor evacuation information system in the final suggestion uses the verified wireless LAN and AP based indoor positioning technique to determine whether the space is occupied and the position of the occupant. Moreover, the logic which generates the shortest route using the Dijkstra algorithm using the fire information given to the control server was developed alongside an application to notify the evacuee of the appropriate evacuation route through the smartphone, and the feasibility of the logic and application was analyzed.

Original languageEnglish
Pages (from-to)14751-14762
Number of pages12
JournalInternational Journal of Applied Engineering Research
Volume9
Issue number22
StatePublished - 2014

Keywords

  • Evacuation safety
  • Indoor positioning
  • Wireless LAN

Fingerprint

Dive into the research topics of 'An experimental study on smart phone evacuation information system in the large building using location estimation system based on wi-fi'. Together they form a unique fingerprint.

Cite this