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dc.contributor.authorWu, Hsin-Linen_US
dc.contributor.authorChang, Ming-Fengen_US
dc.description.abstractProviding real-time traffic information, such as the travel time of each road segment, to road users and coupling this information with navigation system can save traveling time and reduce fuel consumption. With the increasing popularity of smartphones that are embedded with GPS receiver and wireless data communication capability, smartphones on journeying vehicles can collect and exchange the real-time traffic information, and then dynamically choose a time-saving route based on the collected traffic condition. In a conventional distributed system, navigation-embedded vehicles use the flooding method propagating the traffic information periodically. However, there may be redundant samples spreading in the network. For the purpose of improving the dissemination efficiency, many methods have been purposed. Gossip-based propagation models have a great efficiency in dense traffic. So the navigation system CATE, using utility-based gossip model to keep the scalability and the efficiency, has been proved to offer scalability in a realistic experiment. However, CATE has some deficiencies that need to be improved; for example, intersection delay is not considered in route planning and secondary congestion problem may occur after re-routing by users using the same navigation system. We purpose a method that provides each road segment’s turning delay to improve the travel time for more road users. Veins has been used to simulate our navigation system. The simulation results indicate our method can save more than 17% average travel time and reduce the percentage of cars that experience longer travel time by 2%.en_US
dc.subjectnavigation systemen_US
dc.titleThe Analysis of Vehicle Navigation System Based on Vehicular Ad-Hoc Networksen_US
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