Positionering av människor i väg- och järnvägstunnlar i händelse av brand
(2023)- Abstract (Swedish)
The overall aim of the current project is to investigate the possibility of using people's mobile phones to locate people in a tunnel environment, both during normal operation and during an emergency. As part of the project, a technology for locating people based on Wi-Fi communication between access points in a tunnel and the user's mobile phone is investigated. To examine the precision of the localization system, 39 different trials have been carried out under various conditions during an experiment in a road tunnel in Stockholm, Sweden. In the tests, the Wi-Fi-based predicted location has been compared with the actual location, for each time step, of the people in the tunnel. The variables changed in the experiment include the... (More)
The overall aim of the current project is to investigate the possibility of using people's mobile phones to locate people in a tunnel environment, both during normal operation and during an emergency. As part of the project, a technology for locating people based on Wi-Fi communication between access points in a tunnel and the user's mobile phone is investigated. To examine the precision of the localization system, 39 different trials have been carried out under various conditions during an experiment in a road tunnel in Stockholm, Sweden. In the tests, the Wi-Fi-based predicted location has been compared with the actual location, for each time step, of the people in the tunnel. The variables changed in the experiment include the number of people in a group, the number of available access points in the tunnel, whether the mobile phone distinguishes between an active or passive connection, whether it differs between a person moving or standing still, whether the mobile phone is held in the hand or is stored in the person's pocket and if there are obstacles in the tunnel (a vehicle). The results indicate that the mean value for the distance between actual and predicted position is in the order of 20 m or less. The variation in distance for a single individual is relatively large and the standard deviation for the mean distance is in the same order of magnitude as the mean value. Despite this, there is a good potential to locate individuals in a tunnel as the distance between emergency exits is often much longer than the uncertainties in the predicted locations of people. Also, the technology seems be able to predict the direction of movement for the individuals. These results are promising and indicates the potential of cost-efficient improvement of tunnel safety both for existing and new tunnels. With a refined positioning system, there is potential for further improved ability to locate individuals in a tunnel fire environment with this technology. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7b190c9b-f83e-4cc2-bc67-6bf89a132558
- author
- Frantzich, Håkan LU ; Fridolf, Karl ; Liljestrand, Staffan and Henningsson, Alex
- organization
- publishing date
- 2023-02-15
- type
- Book/Report
- publication status
- published
- subject
- keywords
- utrymning, positionering, wifi, räddningstjänst, vägtunnel, järnvägstunnel, tunnel safety, evacuation, rescue services, Wi-Fi, indoor localization, indoor mapping, sensor
- issue
- 3250
- pages
- 72 pages
- publisher
- Brandteknik, LTH
- ISSN
- 1402-3504
- language
- Swedish
- LU publication?
- yes
- id
- 7b190c9b-f83e-4cc2-bc67-6bf89a132558
- date added to LUP
- 2023-03-10 13:16:17
- date last changed
- 2023-03-16 11:19:33
@techreport{7b190c9b-f83e-4cc2-bc67-6bf89a132558,
abstract = {{<br/>The overall aim of the current project is to investigate the possibility of using people's mobile phones to locate people in a tunnel environment, both during normal operation and during an emergency. As part of the project, a technology for locating people based on Wi-Fi communication between access points in a tunnel and the user's mobile phone is investigated. To examine the precision of the localization system, 39 different trials have been carried out under various conditions during an experiment in a road tunnel in Stockholm, Sweden. In the tests, the Wi-Fi-based predicted location has been compared with the actual location, for each time step, of the people in the tunnel. The variables changed in the experiment include the number of people in a group, the number of available access points in the tunnel, whether the mobile phone distinguishes between an active or passive connection, whether it differs between a person moving or standing still, whether the mobile phone is held in the hand or is stored in the person's pocket and if there are obstacles in the tunnel (a vehicle). The results indicate that the mean value for the distance between actual and predicted position is in the order of 20 m or less. The variation in distance for a single individual is relatively large and the standard deviation for the mean distance is in the same order of magnitude as the mean value. Despite this, there is a good potential to locate individuals in a tunnel as the distance between emergency exits is often much longer than the uncertainties in the predicted locations of people. Also, the technology seems be able to predict the direction of movement for the individuals. These results are promising and indicates the potential of cost-efficient improvement of tunnel safety both for existing and new tunnels. With a refined positioning system, there is potential for further improved ability to locate individuals in a tunnel fire environment with this technology.}},
author = {{Frantzich, Håkan and Fridolf, Karl and Liljestrand, Staffan and Henningsson, Alex}},
institution = {{Brandteknik, LTH}},
issn = {{1402-3504}},
keywords = {{utrymning, positionering, wifi, räddningstjänst, vägtunnel, järnvägstunnel, tunnel safety, evacuation, rescue services, Wi-Fi, indoor localization, indoor mapping, sensor}},
language = {{swe}},
month = {{02}},
number = {{3250}},
title = {{Positionering av människor i väg- och järnvägstunnlar i händelse av brand}},
url = {{https://lup.lub.lu.se/search/files/140077335/Positionering_3250_2023_02_15_slutversion.pdf}},
year = {{2023}},
}