Research On Dynamic Path Planning Simulation For VANET

With economic development, China’s vehicles show rapid growth, trafficcongestion, accidents and environmental pollution problems are increasinglyaffecting the development of people’s lives and the economy and society. In this case,the Intelligent Transportation Systems (referred to as ITS) has become an effectiveway to solve the conflict. By Ad-Hoc network deployed on a moving car, the vehicleis formed between the vehicle since self-organizing network (Vehicular Ad-HocNetwork, referred VANET). Vehicle communication function to avoid collisions,road hazard prompts, to avoid congested roads to achieve dynamic path selectionhas a positive effect. Using communication, automotive safety systems between carsand trucks not only to know some of its parameters, but also to get other vehiclesdriving conditions, such as average speed, travel time, road conditions and otherinformation, which previously dynamic programming according to their preferencespath, saving travel costs.In this paper, the traffic information collected through the vehicle lane on theopposite direction, and the use of traffic flow theory of information processing, withthe changing time period to update itself carries traffic information, traffic updatesand then broadcasts the spread to the vehicle within a certain range. This documentdefines the path information carried by the vehicle, including the average speed byroad, by time, road congestion charge fees and the time the information is received.Information in the next time period is passed out.Traveling in the road network in the vehicle when receiving broadcastinformation, to extract information out of the way average speed, and compares the timestamp update road information, path algorithm Dijkstra Based on efficient graphalgorithms, the link weight depends on the speed, time road fees. The best pathbased on dynamic weights, and weights itself with the changing road informationchanges; you must constantly recalculate all alternative paths, enabling dynamicpath selection based on the driver’s preferences.In this paper, the model SUMO and select Move mode network simulatorOMNET++fusion simulation. TraNS extracted from SUMO path, and then passOMNET++, on the contrary, the command is sent from OMNET++to SUMO tochange the traffic moving. This paper compares the fuel consumption and the timepath planning algorithm is different under the vehicle, and to observe the changes intotal vehicle fuel consumption, total travel time by changing the definition of thecongestion charge, the simulation results show that:1. Dynamic based on driver preferences by path planning algorithm can reducetravel costs and travel time savings.2. With the change of the congestion charge fees, changes in the choice of the pathof the vehicle, thus affecting the overall vehicle fuel consumption, total traveltime.