On Vehicle Aggressive Driving Behavior Detection Using Visual Information

Kumtepe, Omurcan
Akar, Gözde
Yuncu, Enes
Most of the traffic accidents are caused by human related factors. One of the most important human related factor in terms of traffic accident risk is aggressive driving behavior. Although driver aggressiveness is related with psychological reasons, it can be detected by observation of driving behavior using different sensing devices. This work presents a driver aggressiveness detection method exploiting the visual data obtained by on vehicle camera. The proposed method uses this visual data in order to extract features such as lane departure rate and possible collision time by detection of road lines and vehicles on the road. These features are used to train a classifier which decides on whether an aggressive behavior is performed in related driving session. According to conducted tests the proposed method is observed to achieve 90% correct detection rate of aggressive driving behavior.


A Multimodal Approach for Aggressive Driving Detection
Kumtepe, Omurcan; Yuncu, Enes; Akar, Gözde (2016-05-19)
Aggressive driving behavior is among the important causes of traffic accidents. Hence, detection of driver aggressiveness has an importance in terms of decreasing the number of traffic accidents. Collected driving data while the vehicle is in traffic can be used to make inferences about the aggressiveness of the driver. In this study, a multimodal method is proposed in order to detect driver aggressiveness. The proposed method is based on utilizing the visual data taken from the on vehicle camera and sensor...
Driver Aggressiveness Detection Using Visual Information from Forward Camera
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Among the human related factors, aggressive driving behavior is one of the major causes of traffic accidents [17]. On the other hand, detection and characterization of driver aggressiveness is a challenging task since there exist different psychological causes behind it. However information about the driver behavior could be extracted from the data that is collected via different sensing devices. This paper presents a method to detect driver aggressiveness using only visual information provided by forward c...
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Countermeasures to prevent death and injury in traffic are important for traffic safety. Human error is a critical component associated with road traffic accidents. Therefore, various organizations and decision-makers are trying to prevent risky behaviors via different methods. One of the most used methods of raising awareness and creating behavioral change is traffic safety campaign videos. The focus of the present study is speeding, which is one of the most dangerous violations on the road. The study aime...
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The negative social and economic results of traffic accidents are the most serious problems within the concept of traffic safety. Every year, unfortunately, a huge number of traffic accidents result in destructive losses. Especially, when the holiness of human life is concerned, traffic safety has an invaluable role for the traffic improvement strategies. In this manner, Turkey places one of the highest ranks regarding the growing rate and severity of traffic accidents that should be immediately taken under...
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Except motor vehicles accidents, the death rate on occupational accidents which occur falling from high places or into depths, is higher than any other accidents. According to the importance of the topic, in the study, examining the approaches of OHS professionals to the reasons and effects of occupational accidents which occur as falling from heights is aimed. For this, 100 accident inspection reports from Labor Inspection Board were surveyed. Accident reasons were derived from those reports. Those reasons...
Citation Formats
O. Kumtepe, G. Akar, and E. Yuncu, “On Vehicle Aggressive Driving Behavior Detection Using Visual Information,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54274.