Reference number : GC-2017-Q4-00838, amendment number : , agreement type : G, recipient legal name : Ismail, Karim Aldin (Carleton University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The widespread use of smartphones is providing rich grounds to gather traffic data. Smartphones often emit_x000D_
Bluetooth and/or WiFi signatures which can be detected by specialized sensors. Current technologies exist to_x000D_
detect these signatures using roadside equipment. An area of improvement is to enhance the positional_x000D_
accuracy of the signal source. This is especially useful in traffic data collection when spatial scope of study is_x000D_
limited and traffic congestion is common. Currently, WiFi and Bluetooth sensors are used in singular form to_x000D_
detect road user presence. There is a theoretical potential to use a cluster of sensors to simultaneously gather_x000D_
data from the same signal emitter to enhance positional accuracy. This project involves theoretical and_x000D_
experimental work to develop such technology and investigate its practical feasibility. Various equipment_x000D_
set-up protocols and data integration algorithms will be investigated in order to improve positional accuracy_x000D_
estimate on road segments. The study will also lay the ground for more varied traffic facilities, aside from road_x000D_
segments, in which the positional accuracy estimate is expected to be more challenging., program purpose french : The widespread use of smartphones is providing rich grounds to gather traffic data. Smartphones often emit_x000D_
Bluetooth and/or WiFi signatures which can be detected by specialized sensors. Current technologies exist to_x000D_
detect these signatures using roadside equipment. An area of improvement is to enhance the positional_x000D_
accuracy of the signal source. This is especially useful in traffic data collection when spatial scope of study is_x000D_
limited and traffic congestion is common. Currently, WiFi and Bluetooth sensors are used in singular form to_x000D_
detect road user presence. There is a theoretical potential to use a cluster of sensors to simultaneously gather_x000D_
data from the same signal emitter to enhance positional accuracy. This project involves theoretical and_x000D_
experimental work to develop such technology and investigate its practical feasibility. Various equipment_x000D_
set-up protocols and data integration algorithms will be investigated in order to improve positional accuracy_x000D_
estimate on road segments. The study will also lay the ground for more varied traffic facilities, aside from road_x000D_
segments, in which the positional accuracy estimate is expected to be more challenging., agreement title english : Improving location accuracy of traffic data collection using Bluetooth/WiFi Receivers, agreement title french : Improving location accuracy of traffic data collection using Bluetooth/WiFi Receivers, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada