Chang, Tang-HsienTang-HsienChangHsu, Chih-ShengChih-ShengHsu2013-09-042018-07-092013-09-042018-07-092007-06http://ntur.lib.ntu.edu.tw//handle/246246/258305Intelligent Vehicles Symposium, 2007 IEEE, Istanbul, Turkey, Jun.13-15This 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.127 bytestext/htmlen-USirregular intelligent vehicle behavior warning modulelateral end collision onboard decision modulerear-end collisionroad accidentconference paper10.1109/IVS.2007.4290273http://ntur.lib.ntu.edu.tw/bitstream/246246/258305/2/index.html