Literature Database Entry

torres2014solutions


A. Torres, Yusheng Ji, C.T. Calafate, J.-C. Cano and P. Manzoni, "V2X solutions for real-time video collection," Proceedings of 11th Annual Conference on Wireless On-demand Network Systems and Services (WONS 2014), April 2014, pp. 116-121.

Abstract

Quickly identifying the severity of highway acci-dents, as well as the resources required to assist the people involved in those accidents, is a basic requirement for future intelligent transportation systems. In this context, vehicular communication technologies currently being standardized are able to provide novel solutions to address this problem. In this work we study the feasibility of combining vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to deliver a video stream from the place of the accident to the traffic authorities. Our approach relies on vehicles as data relays, thus having the additional advantage of providing drivers with a clear view about the accident, thereby helping to reduce stress and improving traffic flow. An experimental analysis comparing different traffic flooding mechanisms for wireless networks show that the proposed system is viable for highways with moderate/high amounts of traffic, although highlighting the need for more efficient mechanisms specifically addressing broadcast propagation in highway envi-ronments.

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Original Version DOI (at publishers web site)
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Contact

A. Torres
Yusheng Ji
C.T. Calafate
J.-C. Cano
P. Manzoni

BibTeX reference

@inproceedings{torres2014solutions,
    author = {Torres, A. and Ji, Yusheng and Calafate, C.T. and Cano, J.-C. and Manzoni, P.},
    title = {{V2X solutions for real-time video collection}},
    booktitle = {11th Annual Conference on Wireless On-demand Network Systems and Services (WONS 2014)},
    pages = {116-121},
    keywords = {intelligent transportation systems;real-time systems;road accidents;road traffic;vehicular ad hoc networks;video streaming;V2I communications;V2X solutions;VANET;broadcast propagation;highway accidents;highway environments;intelligent transportation systems;real-time video collection;traffic authorities;traffic flooding mechanisms;traffic flow;vehicle-to-infrastructure;vehicle-to-vehicle;vehicular ad-hoc networks;vehicular communication technologies;video stream;wireless networks;Accidents;Delays;Radiation detectors;Real-time systems;Road transportation;Streaming media;Vehicles},
    year = {2014},
    month = {April},
    publisher = {IEEE},
    doi = {10.1109/WONS.2014.6814731},
   }
   
   

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