Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/38158
Title: Speed Aware – a mobile app prototype for the promotion of responsible driving
Authors: Cremona, Francesco
Muscat, Adrian
Attard, Maria
Keywords: Global Positioning System
Motor vehicle driving -- Malta -- Safety measures
Mobile apps -- Malta
Speed limits -- Malta -- Safety measures
Speed limits -- Malta -- Detection
Algorithms
Geographic information systems
Map projection
Issue Date: 2018
Publisher: University of Malta. Junior College
Citation: Cremona, F., Muscat, A. & Attard, M. (2018). Speed Aware – a mobile app prototype for the promotion of responsible driving. Junior College multi-disciplinary conference : research, practice and collaboration : Breaking Barriers : annual conference, Malta. 233-250.
Abstract: This paper addresses the promotion and awareness of responsible driving and road safety through the development of a very simple to use mobile application prototype, Speed Aware. This application provides users with speed limit information on roads they are travelling on, together with a journey logging feature that allows off-line self-review of driving behaviour. Tracked journeys can be displayed on a map and the trace shown as a heatmap, comparing the vehicle speed to the road speed limit. Furthermore, an audible alarm is emitted whenever the vehicle is travelling at a speed higher than the legal limit. At the heart of this app is a map matching algorithm, which matches raw Global Positioning System (GPS) data to the road network. Five map matching algorithms are implemented and compared on the basis of real-time performance and accuracy. A ground truth dataset of GPS traces in dense, urban, and sub-urban environments, together with TraceView, a trace visualisation and management tool, were developed. A modified version of a weight-based topological algorithm achieved accuracy of 94.9% at a GPS sampling frequency of 1Hz. This algorithm, together with three of the reviewed map matching algorithms, were implemented on a mobile device and subjectively tested for realtime performance.
URI: https://www.um.edu.mt/library/oar//handle/123456789/38158
Appears in Collections:Breaking Barriers : Proceedings
Scholarly Works - FacICTCCE

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