2013Procedia - Social and Behavioral SciencesOpen access

Driving Behavior Theory and Computer Simulation System of Driver's Risk Perception based on 3D

Zhao Jian-you, Shi Xiao-fen, Zhao Liang, Zhao Shuang-xi, Niu Xi-yang

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Abstract

Drivers take up the leading role in road traffic system, in all road traffic accidents, the ones initiated by driver factor account for over 90%.The main reason is that such drivers have not formed the “internal pattern” of correctly driving a vehicle in their brain, so that drivers cannot strongly experience the potential danger. When danger comes, drivers still have unawareness, or although they take measures, it is too late to avoid the happening of an accident. This paper has carried out further investigation on the drivers’ danger sense based on a profound analysis of driving behavior. 3DS MAX is used to implement dangerous scene cartoons, which can form one continuous driving time and space, so that drivers trained can observe at some points, which can provide understanding of sense organ for drivers. Furthermore, the method of hall type discussion is adopted to improve drivers’ psychological ability to bear and potential risk cognitive level. Such we have made is to make the psychology experiences for drivers under the precarious position in person experienced, to offer experience for storing the correct “interior mode”, finally reduce the traffic conflict and the probability of traffic accidents.

About this research paper

What this paper is about

Drivers take up the leading role in road traffic system, in all road traffic accidents, the ones initiated by driver factor account for over 90%.The main reason is that such drivers have not formed the “internal pattern” of correctly driving a vehicle in their brain, so that drivers cannot strongly experience the potential danger. When danger comes, drivers still have unawareness, or although they take measures, it is too late to avoid the happening of an accident. This paper has carried out further investigation on the drivers’ danger sense based on a profound analysis of driving behavior. 3DS MAX is used to implement dangerous scene cartoons, which can form one continuous driving time and space, so that drivers trained can observe at some points, which can provide understanding of sense organ for drivers. Furthermore, the method of hall type discussion is adopted to improve drivers’ psychological ability to bear and potential risk cognitive level. Such we have made is to make the psychology experiences for drivers under the precarious position in person experienced, to offer experience for storing the correct “interior mode”, finally reduce the traffic conflict and the probability of traffic accidents.

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Available abstract

Drivers take up the leading role in road traffic system, in all road traffic accidents, the ones initiated by driver factor account for over 90%.The main reason is that such drivers have not formed the “internal pattern” of correctly driving a vehicle in their brain, so that drivers cannot strongly experience the potential danger. When danger comes, drivers still have unawareness, or although they take measures, it is too late to avoid the happening of an accident. This paper has carried out further investigation on the drivers’ danger sense based on a profound analysis of driving behavior. 3DS MAX is used to implement dangerous scene cartoons, which can form one continuous driving time and space, so that drivers trained can observe at some points, which can provide understanding of sense organ for drivers. Furthermore, the method of hall type discussion is adopted to improve drivers’ psychological ability to bear and potential risk cognitive level. Such we have made is to make the psychology experiences for drivers under the precarious position in person experienced, to offer experience for storing the correct “interior mode”, finally reduce the traffic conflict and the probability of traffic accidents.

Key concepts: Perception, Cognition, Mode (computer interface), Risk perception, Space (punctuation), Traffic accident, Computer security, Psychology

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