Efficient traffic simulator coupling in a distributed V2X simulation environment
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Simulation of attacks and corresponding driver behavior in vehicular ad hoc networks with VSimRTI
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Application of vehicular communications for improving the efficiency of traffic in urban areas
Wireless Communications & Mobile Computing
QoSHVCP: hybrid vehicular communications protocol with QoS prioritization for safety applications
ISRN Communications and Networking
Time-distance path recommendation mechanisms for vanets
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
PAL - privacy augmented LTE: a privacy-preserving scheme for vehicular LTE communication
Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications
| Hi-index | 0.00 |
Vehicular traffic congestion is a global phenomenon that has increased in importance in the last decades and has caused economically and ecologically negative effects. Thus, finding a way to improve traffic efficiency is a high-frequented problem to be solved by scientists and politicians worldwide. One new promising approach is the usage of decentralized wireless vehicle to vehicle communication based on the Vehicle-2-X (V2X) technology. The idea is that vehicles share information about the current local traffic situation and use this information to optimize their routes. In this paper, we introduce a new algorithm that can be used by navigation systems to calculate routes circumnavigating congested roads. For this purpose, each vehicle transmits its average speed of a road segment to vehicles in the neighbourhood. As a result, vehicles receiving this information can recalculate their routes based on the knowledge about the current possible speeds in the road segments of their neighbourhood. To evaluate the improvements that can be achieved by our algorithm, simulations have been done. Our results show that navigation systems using the V2X technology for a more intelligent route calculation can improve the traffic efficiency of future transport systems.