Abstract

As a component of the intelligent transportation system and one of the concrete applications of mobile ad hoc networks, intervehicle communication has attracted research attention from both the academia and industry of, notably, US, EU, and Japan. The most important feature of inter-vehicle communication is its ability to extend the horizon of drivers and on-board devices (e.g., radar or sensors) and, thus, to improve road traffic safety and efficiency. Such type of Driver assistance systems are meant to support drivers with driving process in order to avoid traffic accidents, speed up the traffic and have a higher control over the traffic in general. These systems use the capacity of the vehicles to communicate, not only between them but also with infrastructures. All the information is collected and processed to offer useful services. Wireless adhoc network protocols are widely used in this area which provides communication among vehicles and road side equipment. The performance of communication depends on how better the routing takes place in the network and these routing protocols we have already been analyzed and compared in the past, simulations and comparisons have almost always been done considering random motions. Since the application development is for Inter-Vehicular Communication and Decongestion of Vehicular Networks, it is necessary to initially locate the car position from GPS co-ordinates, Using filtering techniques and localization algorithms its accuracy is enhanced. The vehicular density in the lanes is then found out for all vehicles at a specific location based on location and then congestion algorithms are applied to congested lanes to decongest them.

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