Urban multi-hop broadcast protocol for inter-vehicle communication systems
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Surface street traffic estimation
Proceedings of the 5th international conference on Mobile systems, applications and services
Challenge: peers on wheels - a road to new traffic information systems
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
The farther relay and oracle for VANET. preliminary results
Proceedings of the 4th Annual International Conference on Wireless Internet
Evaluation of VANET-based advanced intelligent transportation systems
Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking
VANETS without limitations: an optimal distributed algorithm for multi-hop communications
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
An intervehicular communication architecture for safety and entertainment
IEEE Transactions on Intelligent Transportation Systems
An optimal 1D vehicular accidentwarning algorithm for realistic scenarios
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
Broadcast storm mitigation techniques in vehicular ad hoc networks
IEEE Wireless Communications
A Reliable Link-Layer Protocol for Robust and Scalable Intervehicle Communications
IEEE Transactions on Intelligent Transportation Systems
Hi-index | 0.00 |
Advanced Traveler Information Systems, which have for long been regarded as one of the most promising future applications of wireless vehicular networks for use in the field of Intelligent Transportation Systems (ITS), are effectively becoming part of today's reality. Many drivers already access the information provided by such systems, for example checking for the state of the streets along a given route or reading traffic jam alerts on the displays of smart-phones or Personal Navigation Devices (PNDs). Based on such information, drivers, or their PNDs, select the best paths to reach their destinations. Clearly, in order to be effective, such systems are required to reliably estimate and forecast vehicular congestion states. Moreover, they should also be capable of efficiently utilizing the wireless channel resources, as the amount of information that may be exchanged by such systems in dense urban areas grows with the number of services supported by the onboard devices and the amount of vehicles that install them. To answer these challenges, we here discuss how a distributed ATIS can: a) implement an effective vehicular congestion detection and forecasting model, and, b) efficiently disseminate traffic information. The advantage of distributing an ATIS is that each vehicle can compute and redistribute accurate vehicular congestion information very rapidly, with little overhead and without resorting to a central entity. In order to validate our approach, we present the outcomes of a real world experimentation, as well as of multiple simulations.