Lane Change Maneuvering In AVs For Collision Avoidance And Trajectory Planning Using VANET

Automated Driving(AD)is the most emerging field to enhance comfort,road safety,and efficiency.The automated driving is based on the study of the human driver's behavior.Driving behavior is the conceptual study of the driver's scenario with respect to the environment,speed,acceleration and deceleration,the brake pedal force,longitude and lateral motion,and Minimum Safety Spacing between vehicles.The outline of our thesis is based on humancentered automated vehicles.Especially when we are concerning with safety and efficiency of traffic flow while Lane change maneuvering.The modern society demands safe and sans collision free roads.Due to the specific needs required by various uses of Vehicular Ad Hoc Networks(VANETs),for the most part in advancing lane,sketching out a steady Collision Avoidance(CA)and safe lane changing has transformed into the establishment of controlling the vehicle in the dense environment.To reduce collision and efficiency in the modern transportation system a well-embedded system and proper communication between automobiles are the mainstream.We have combined both VANET and system installed onboard to achieve our goals.We have proposed efficient lane selection and the collision-free vehicle transportation system in the light of patience,speed and the distance between all types of vehicles.In this thesis,we initially characterize the patience based strategy and reenact demonstrate for safety and efficiency of traffic flow utilizing the game theoretical method.Then we have improved another algorithm for lane determination and collision control utilizing distance and speed of all automobiles accumulate from the vehicular communication.After two distinct algorithms for track change and collision-free driving are analyzed like;random patience based method and the car following method,in view of various traffic density.In the part of the contribution,as a result,our test reenactment setup is executed on highway traffic situations to exhibit the limitations of all kind of the automobiles to choose a best-fit lane,recognize the impact,and investigate around them to keep up the sheltered separation.Finally,it is inferred that our proposed calculation outflanks in lane selection and impact evasion to fulfill safety and efficiency in view of Vehicular Ad Hoc Network.