Irregular Vehicle Behavior Warning Modules

This study develops an on-board decision module to issue appropriate warnings when the equipped vehicle's traveling track is irregular. While a vehicle is running on a road, there is a potential danger of accidents if the driver is distracted by fatigue, drowsiness, food, talk, or influenced by alcohol or drug, etc. Common types of accidents that take place on a freeway are lateral and rear-end collision. Therefore, measuring vehicle behavior is a way more relevant in terms of ensuring the security of driving behavior. This study presents two modules: one for detecting irregular tracking and the other for measuring longitudinal relationship with the preceding vehicles. According to the simulations, the proposed modules are satisfactory.