WSN architectures for intelligent transportation systems
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
A dynamic navigation scheme for vehicular ad hoc networks
ICCOM'10 Proceedings of the 14th WSEAS international conference on Communications
Road traffic model using distributed camera network
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Cross-layer routing approach in high speed mobile wireless networks
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
Route guidance systems: review and classification
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
Distributed wireless sensing-based routing and adaptive least-travel-time navigation in VANET
International Journal of Ad Hoc and Ubiquitous Computing
Performance Analysis with Traffic Accident for Cooperative Active Safety Driving in VANET/ITS
Wireless Personal Communications: An International Journal
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The main goal of vehicle navigation systems is to determine the optimal routing path for achieving the least travel time and exhausted gasoline. Most navigation systems use the static shortest path routing algorithm or use optional traffic information broadcasted by a centralized Traffic Information Center (TIC) to avoid routing to heavy traffic load roads. Since the traffic information may be gathered from few monitoring devices that only covers some specific highways and roads, it results in some disadvantages, including only supporting partial traffic information on some roads, long update period and low reliability of using a centralized TIC. In consequence, the determined route could be the shortest distance route but it may not meet the demands of the optimal routing: the least travel time and exhausted gasoline. Therefore, we propose herein the wireless sensor network-based adaptive navigation approach, which uses the WiMAX multihop relay networks as the inter-vehicle communications (IVC) to increase the reliability and efficiency of inter-vehicle communications. Real-time traffic information could be gathered from various types of sensors equipped on vehicles and exchanged among neighbor vehicles. As a result, the navigation system can obtain three metrics of the road traffic density, road class and road distance to determine the optimal route. Numerical results indicate that the proposed adaptive navigation approach outperforms other approaches in the average travel time and average exhausted gasoline while yielding competitive average travel distance.