2 Search Results for "Mostafavi, Mir Abolfazl"

Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.19
Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities (Short Paper)

Authors: Ali Afghantoloee and Mir Abolfazl Mostafavi

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Mobility of people with disabilities is one of the most important challenges for their social integration. There have been significant effort to develop assistive technologies to guide the PWD during their mobility in recent years. However, these technologies have limitations when it comes to the navigation and guidance of these people through accessible routes. This is specifically problematic in indoor environments where detection, location and tracking of people, and other dynamic objects that may limit the mobility of these people, are very challenging. Thus, many researches have leveraged the use of sensors to track users and dynamic objects in indoor environments. However, in most of the described methods, the sensors are manually deployed. Due to the complexity of indoor environments, the diversity of sensors and their sensing models, as well as the diversity of the profiles of people with disabilities and their needs during their mobility, the optimal deployment of a sensor network is a challenging task. There exist several optimization methods to maximize coverage and minimize the number of sensors while maintaining the minimum connectivity between the sensor nodes in a network. Most of the current sensor network optimization methods oversimplify the environment and do not consider the complexity of 3D indoor environments. In this paper, we propose a novel 3D local optimization algorithm based on a geometric spatial data structure that takes into account some of these complexities for the purpose of helping PWD in their mobility in 3D indoor environments such as shopping centers, museums and other public buildings.
Cite as

Ali Afghantoloee and Mir Abolfazl Mostafavi. Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 19:1-19:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{afghantoloee_et_al:LIPIcs.GISCIENCE.2018.19,
  author =	{Afghantoloee, Ali and Mostafavi, Mir Abolfazl},
  title =	{{Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{19:1--19:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.19},
  URN =		{urn:nbn:de:0030-drops-93471},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.19},
  annote =	{Keywords: 3D indoor navigation, Sensor network deployment, People with disabilities}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.28
Space-Time Representation of Accessible Areas for Wheelchair Users in Urban Areas (Short Paper)

Authors: Amin Gharebaghi and Mir Abolfazl Mostafavi

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Providing personalized information on the accessibility of urban places for people with disabilities can significantly increase their social participation. This information should be adapted with respect to their needs at the specific time and space. Location-based technologies are considered as proper services to provide such information and encourage mobility of these people in urban areas. However, generally these services focus on the spatial conditions of the accessibility and ignore users' capabilities and time dependent constraints. This is much more challenging for people with disabilities given the diversity of their physical capabilities and preferences. To address this issue, we propose an approach to measure the space-time accessibility of urban areas considering environmental characteristics, users' capabilities, and time constraints. The proposed approach is unique and it highlights time constraint that is rooted in time geography theory. Unlike the classical time geography, which suggests a uniform travel velocity, we consider a variable travel velocity in the proposed approach, which is more relevant to the mobility of people with disabilities. To implement the proposed method, a Fuzzy approach is applied to evaluate the wheelchair speeds for the segments of a pedestrian network. The proposed approach is implemented in Saint-Roch, Quebec City for a case study and the results are presented and discussed.
Cite as

Amin Gharebaghi and Mir Abolfazl Mostafavi. Space-Time Representation of Accessible Areas for Wheelchair Users in Urban Areas (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 28:1-28:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{gharebaghi_et_al:LIPIcs.GISCIENCE.2018.28,
  author =	{Gharebaghi, Amin and Mostafavi, Mir Abolfazl},
  title =	{{Space-Time Representation of Accessible Areas for Wheelchair Users in Urban Areas}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{28:1--28:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.28},
  URN =		{urn:nbn:de:0030-drops-93562},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.28},
  annote =	{Keywords: Mobility, Wheelchair users, Accessibility, Time geography, Potential travel areas}
}
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