In this work we present a traffic information dissemination system that seeks to
deliver relevant traffic information to drivers to help make their driving experience
more efficient, pleasant and safe. The system uses the crowd of drivers as the main
source of information. The crowd reports information about traffic either directly to
our system’s central server or to social networks. In case the information is reported
to a social network our system architecture allows the integration of social networks as
a traffic information source. It also allows the integration of other traffic information
sources such as local traffic monitoring agencies. Our system aggregates all traffic
information and delivers it to drivers subscribed to the system when they demand
it. In addition, our system provides an efficient navigation service that it takes
into account the current traffic conditions when planning a route. Furthermore, it
periodically checks if there are new traffic events that appear on the user’s current
route in which case the system will automatically give the user an alternate route.
We implement a prototype of our system that use the social networks as a traffic
information source and through the prototype evaluation we show that the prototype
of our system indeed delivers relevant traffic information to drivers and performs
intelligent navigation. / Thesis (Master, Computing) -- Queen's University, 2012-04-30 14:49:14.933
Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OKQ.1974/7168 |
Date | 30 April 2012 |
Creators | Al-Yaseen, Dina Ayad |
Contributors | Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.)) |
Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
Language | English, English |
Detected Language | English |
Type | Thesis |
Rights | This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner. |
Relation | Canadian theses |
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