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Research On The Promotion Of The Bus Diver’s Ability To Detect The Potential Hazard And Training System Based On3D Simulation

Posted on:2015-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:R ZhangFull Text:PDF
GTID:2272330422485304Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
Public transportation systems occupy the pivotal position in road transport in china,accidents caused by bus also come with the convenient public transportation economy. Theseaccidents make passengers injured or died and make buses damaged, these damages bringsnegative effect to the public transportation systems. This paper studied the xi ’an publictraffic accident causes and found that the main reason of the accident is that there are not thecorrect risk predictions in the mind of the bus drivers, this reason caused the bus driver’sperception of the potential risk is at the low level. Aim at the major accident factor, this paperstudied the risk sensitivity of the bus driver on the basis of in-depth analysis of drivingbehaviors and found out the factors that affect the ability of the risk to predict thedangerous.This paper scene classified the dangerous scenes according to these factors, thedangerous scenes basically contain all the potential dangers that a bus driver in encountered inthe process of driving. In order to set up dangerous feeling of internal cognition for busdrivers, in terms of driving training,this paper uses3D animations and images to simulatethe dangerous scenes. The animation can form a continuous driving experience for the busdriver to provide various danger types of sensory cognitions. These measures can improvethe psychological enduring capacity of bus drivers and cognitive level of potential risks. Thispaper by using visual c++database development technology put all kinds of3D dangerousscenes into database. this system can systematically improve the drivers’ psychological qualityand risk perception through the comprehensive training and discuss activity.
Keywords/Search Tags:Public transportation security, risk perception, 3DS MAX, sceneanimations, train
PDF Full Text Request
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