Paper Info
Title
Urban Traffic Characterization For Enabling Vehicular Clouds
Abstract
The accelerated growth of applications and services in intelligent transportation systems (ITS) are driven by interests from the public and private sectors. The intent to utilize the on-board resources, along with the advanced methods of managing the available computing capabilities in the conventional cloud, has led to the high popularity of Vehicular Clouds. Likewise in Vehicular Networks, vehicles provide the building blocks for forming these particular clouds, which can enable a large number of applications and services that can benefit the whole transportation system, as well as the drivers, passengers, and pedestrians. However, due to its high mobility, Vehicular Clouds show several inherent challenges, which increase complexity and restrict the design of solutions. Determining the number of vehicles and their time of availability in a given region through a model works as a critical stepping stone for enabling vehicular clouds, as well as any other system involving vehicles moving over the traffic network. Therefore, by implementing proper traffic models, we present a comprehensive stochastic analysis about the distribution of the number of vehicles inside a road segment in this paper. According to real parameters, we show that certain classes of applications are feasible even for highly mobile scenarios.
Year
Venue
Field
2016
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE
Computer science,Computer security,Stochastic process,Real-time computing,Vehicular communication systems,Vehicle dynamics,Traffic network,Intelligent transportation system,Vehicular ad hoc network,restrict,Distributed computing,Cloud computing
DocType
ISSN
Citations 
Conference
1525-3511
2
PageRank 
References 
Authors
0.37
5
3
Name
Order
Citations
PageRank
Tao Zhang1382.10
Robson Eduardo De Grande211017.37
Azzedine Boukerche34301418.60