TY - GEN
T1 - Tweeting traffic image reports on the road
AU - Kwak, Daehan
AU - Kim, Daeyoung
AU - Liu, Ruilin
AU - Iftode, Liviu
AU - Nath, Badri
N1 - Publisher Copyright:
© 2014 The Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering (ICST).
PY - 2015/1/28
Y1 - 2015/1/28
N2 - As mobile phones have the ability to act as participatory sensors, we are beginning to witness the popularity of crowdsourcing and the sharing of traffic reports to improve the quality of the driving experience. This paper presents the architecture and implementation of a system called Social Vehicular Navigation (SVN), which allows users to generate and share geo-tagged image traffic reports called NaviTweets. Based on these traffic reports, Traffic Digests (concise snapshot summaries on the route of interest) are delivered to drivers to provide rich and reliable information supporting the route choice. These digests will complement factors such as the estimated travel time and assist the driver on their route choice decision making. The paper presents the initial design, along with a prototype implementation running on the Android platform, and details a user study conducted to evaluate the influence of providing traffic images on route-choice behavior.
AB - As mobile phones have the ability to act as participatory sensors, we are beginning to witness the popularity of crowdsourcing and the sharing of traffic reports to improve the quality of the driving experience. This paper presents the architecture and implementation of a system called Social Vehicular Navigation (SVN), which allows users to generate and share geo-tagged image traffic reports called NaviTweets. Based on these traffic reports, Traffic Digests (concise snapshot summaries on the route of interest) are delivered to drivers to provide rich and reliable information supporting the route choice. These digests will complement factors such as the estimated travel time and assist the driver on their route choice decision making. The paper presents the initial design, along with a prototype implementation running on the Android platform, and details a user study conducted to evaluate the influence of providing traffic images on route-choice behavior.
KW - navigation systems/applications
KW - route choice
KW - social networks
KW - traffic images
KW - vehicular networks
UR - http://www.scopus.com/inward/record.url?scp=84924405653&partnerID=8YFLogxK
U2 - 10.4108/icst.mobicase.2014.257815
DO - 10.4108/icst.mobicase.2014.257815
M3 - Conference contribution
AN - SCOPUS:84924405653
T3 - Proceedings of the 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
SP - 40
EP - 48
BT - Proceedings of the 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
Y2 - 6 November 2014 through 7 November 2014
ER -