Evidence map›Paper›PMID 38975124›Full record

ArticleHeliyon2024

Indoor augmented reality (AR) pedestrian navigation for emergency evacuation based on BIM and GIS.

Mojtaba Valizadeh, Babak Ranjgar, Alessandro Niccolai, Hamid Hosseini, Soheil Rezaee, Farshad Hakimpour

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mojtaba ValizadehDepartment of Geomatics, University College of Engineering, University of Tehran, Tehran, 1439957131, Iran.
Babak RanjgarDepartment of Energy, Politecnico di Milano, La Masa, 34, Milan, 20156, Italy.
Alessandro NiccolaiDepartment of Energy, Politecnico di Milano, La Masa, 34, Milan, 20156, Italy.
Hamid HosseiniFaculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, 1996715433, Iran.
Soheil RezaeeFaculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, 1996715433, Iran.
Farshad HakimpourDepartment of Geomatics, University College of Engineering, University of Tehran, Tehran, 1439957131, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays with the increase of high-rise buildings, emergency evacuation is an indispensable part of urban environment management. Due to various disaster incidents occurred in indoor environments, research has concentrated on ways to deal with the different difficulties of indoor emergency evacuation. Although global navigation satellite systems (GNSSs) such as global positioning system (GPS) come in handy in outdoor spaces, they are not of much use in enclosed places, where satellite signals cannot penetrate easily. Therefore, other approaches must be considered for pedestrian navigation to cope with the indoor positioning problem. Another problem in such environments is the information of the building indoor space. The majority of the studies has used prepared maps of the building, which limits their methodology to that specific study area. However, in this study we have proposed an end-to-end method that takes advantage of BIM model of the building, thereby applicable to every structure that has an equivalent building information model (BIM). Moreover, we have used a mixture of Wi-Fi fingerprinting and pedestrian dead reckoning (PDR) method with relatively higher accuracy compared to other similar methods for navigating the user to the exit point. For implementing PDR, we used the sensors in smartphones to calculate user steps and direction. In addition, the navigational information was superimposed on the smartphone screen using augmented reality (AR) technology, thus communicating the direction information in a user-friendly manner. Finally, the AR mobile emergency evacuation application developed was assessed with a sample audience. After an experience with the app, they filled out a questionnaire which was designed in the system usability scale test (SUS) format. The evaluation results showed that the app achieved an acceptable suitability for usage.

Indexed as

Augmented reality (AR)BIMEmergency evacuationGISIndoor navigationIndoor positioning

Identifiers

PMID38975124
PMCPMC11226906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.