PATH PLANNING STRATEGY AND DETECTION OF INTRUDER IN VANET USING REAL TIME TRANSPORTATION SYSTEM

In this paper, we suggest a real - time path - planning algorithm to improve the overall spatial consumption of a network which reduces average travel cost for avoiding collision in congested traffic. Real - time path planning can adroitly lessen traffic jamming in metropolitan cities. However, designing a well - organized path - planning algorithm to achieve a worldwide best vehicle traffic control still remains a dif ficult problem. The Vehicular Ad - Hoc Network applications work on the principle of periodic exchange of messages between each vehicle. A malicious vehicle can disseminate false traffic information in order to force other user vehicles to take incorrect dec isions by creating multiple virtual identities using different forged positions. Both network spatial utilization and travel cost are considered to optimally balance the overall network smoothness and the driver’s preferences. More importantly, Road - Side - U nit’s in VANETs can greatly enhance the timeliness of data collection and dissemination, which makes it possible to perform coordinated path - planning for a group of vehicles. The traffic signal controller reduces the waiting time of vehicles from RSU. In f urther modification, it detects the position of forging attacks occurring on VANET thereby providing security to passengers. Secret key of each vehicle is changed when entering from one network to the other. The server assigns a master key for all emergenc y vehicle which has high priority in the network - to - network movement.