DocumentCode
1728102
Title
TrafficCam: Sharing traffic information based on dynamic IPv6 multicast group assignment using smartphone sensors
Author
Kanemaru, Y. ; Noguchi, So ; Inomata, Akihiro ; Fujikawa, Kenji
Author_Institution
Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan
fYear
2013
Firstpage
853
Lastpage
854
Abstract
Exchanging traffic information among nearby vehicles is one of the communication scenarios in the field of intelligent transport systems (ITS). An important question in this scenario is “How can traffic information be delivered to only one subset of nearby vehicles in the same road traffic situation?”, for example, to only congested traffic in a certain lane. In this demonstration, we propose a dynamic IPv6 multicast group assignment mechanism using GPS, an accelerometer and a magnetometer embedded in smartphones. Our mechanism enables each vehicle to find the relevant vehicles, and to compose a temporary IPv6 multicast address. Our mechanism can deliver traffic information to a group of vehicles in a particular situation. This demonstration, carried out on virtual traffic congestion, shows an information-sharing scenario using a prototype of the proposed mechanism, implemented as an Android application called TrafficCam. Our application demonstrates the usefulness of the proposed mechanism.
Keywords
Global Positioning System; IP networks; accelerometers; automated highways; magnetometers; operating systems (computers); smart phones; traffic information systems; Android application; GPS; IPv6 multicast address; ITS; TrafficCam; accelerometer; dynamic IPv6 multicast group assignment mechanism; information-sharing scenario; intelligent transport systems; magnetometer; road traffic situation; smart phone sensors; traffic information sharing; virtual traffic congestion; Accelerometers; Androids; Global Positioning System; Humanoid robots; Magnetometers; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-3131-9
Type
conf
DOI
10.1109/CCNC.2013.6488564
Filename
6488564
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