INTELLIGENT LANE CHANGE METHOD FOR THE EMERGENCY SCENARIOS IN VANETS

VANET research papers report that, the findings of a study aimed at testing and evaluating the lane changing and merging abilities, especially under congested flow conditions are very essential now a days. Driver assistance systemshave become a major safety feature of modern passenger vehicles. The advanced driver assistance system (ADAS) isone of the active safety systems to improve the vehicle control performance and, thus, the safety of the driver and thepassengers. To use the ADAS for lane change control, rapid and correct detection of the driver's intention is essential.This study proposes a novel pre-processing algorithm for the ADAS to improve the accuracy in classifying the driver'sintention for lane change by augmenting basic measurements from conventional on-board sensors. The feasibility of the developed algorithm was tested through drivingsimulator experiments. As interest in simulating individual people and crowds has grown, simulating traffic andvehicles to accompany those human interactions has become crucial. Traffic simulation has become an importantdevelopment, helping city planners design roads that do not congest traffic or cause accidents.