JiST: an efficient approach to simulation using virtual machines: Research Articles
Software—Practice & Experience
Improving Urban Traffic by Velocity Guidance
ICICTA '08 Proceedings of the 2008 International Conference on Intelligent Computation Technology and Automation - Volume 02
Realistic Simulation of V2X Communication Scenarios
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
V2X-Based Traffic Congestion Recognition and Avoidance
ISPAN '09 Proceedings of the 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks
A tutorial survey on vehicular ad hoc networks
IEEE Communications Magazine
VSSA: a service-oriented vehicular social-networking platform for transportation efficiency
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
The emerging applications of intelligent vehicular networks for traffic efficiency
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
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This paper studies the impacts of vehicular communications on efficiency of traffic in urban areas. We consider a Green Light Optimized Speed Advisory application implementation in a typical reference area and present the results of its performance analysis using an integrated cooperative intelligent transportation systems simulation platform. In addition, we study route alternation using vehicle-to-infrastructure and vehicle-to-vehicle communications. Our interest was to monitor the impacts of these applications on fuel and traffic efficiency by introducing metrics for average fuel consumption, average stop time behind a traffic light and average trip time, respectively. For gathering the results, we implemented two traffic scenarios defining routes through an urban area including traffic lights. The simulations are varied for different penetration rates of application-equipped vehicles, driver's compliance to the advised speed and traffic density. Our results indicate that Green Light Optimized Speed Advisory systems could improve fuel consumption, reduce traffic congestion in junctions and the total trip time. Copyright © 2011 John Wiley & Sons, Ltd.