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Grant: Applied Research and Development Grants - Level 1

Sheridan Institute of Technology and Advanced Learning

$25,000.00

Real Time and Contextually Aware Pedestrian Warning System

EF 2015-16

Résumé
The increased usage of smart phones and mobile devices comes with heightened traffic safety risks. This is due to the fact the users perception of their surrounding environment decreases while using devices involving talking, listening to music, and other activities. A 2012 Maryland study indicates that the number of pedestrians who have been killed or injured while wearing headphones has more than tripled over the previous six years. Thus, there is a great need for a system to alert pedestrians to potential dangers in their surrounding environment. The Pedestrian Warning System (PWS) research project will explore various techniques for gathering contextual information from both the pedestrians and cyclists environment using their mobile devices and utilizing them to issue effective warning signals with the objective of increasing the safety of both parties. The work carried out in the PWS research project will be expanded to include variations of the system to fit dog collars, white canes used by the visually impaired, and individuals using hearing aids. Once completed, this research can serve as the base for future work involving the development of a device capable of communicating between pedestrians, cyclists, and motor vehicles with the ultimate goal of establishing a comprehensive system for improving public safety and reducing accidents and fatalities. The School of Applied Computing at Sheridan College offers a variety of courses in mobile computing across different programs. This will position Sheridan as an ideal partner to carry out this research project, given the expertise of its faculty members and students.
Programme
Applied Research and Development Grants - Level 1
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
491173-2015
Name nom
Gillett, Cindy
Department département
Head Office
Organization id
22156
Institution établissement
Sheridan Institute of Technology and Advanced Learning
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
1
Nb partie
1
Application title
Real Time and Contextually Aware Pedestrian Warning System
Keyword
NSERC
Application summary
The increased usage of smart phones and mobile devices comes with heightened traffic safety risks. This is due to the fact the users perception of their surrounding environment decreases while using devices involving talking, listening to music, and other activities. A 2012 Maryland study indicates that the number of pedestrians who have been killed or injured while wearing headphones has more than tripled over the previous six years. Thus, there is a great need for a system to alert pedestrians to potential dangers in their surrounding environment. The Pedestrian Warning System (PWS) research project will explore various techniques for gathering contextual information from both the pedestrians and cyclists environment using their mobile devices and utilizing them to issue effective warning signals with the objective of increasing the safety of both parties. The work carried out in the PWS research project will be expanded to include variations of the system to fit dog collars, white canes used by the visually impaired, and individuals using hearing aids. Once completed, this research can serve as the base for future work involving the development of a device capable of communicating between pedestrians, cyclists, and motor vehicles with the ultimate goal of establishing a comprehensive system for improving public safety and reducing accidents and fatalities. The School of Applied Computing at Sheridan College offers a variety of courses in mobile computing across different programs. This will position Sheridan as an ideal partner to carry out this research project, given the expertise of its faculty members and students.