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Driving Fault-tolerance Capacity Analysis Methods Of Highway Traffic Engineering Facilities

Posted on:2013-07-17Degree:DoctorType:Dissertation
Country:ChinaCandidate:L W HuFull Text:PDF
GTID:1262330392467686Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
Traffic engineering facilities are the important parts of highway projects, andthey have important significance to reduce the ponderance of traffic accidents,decrease or eliminate highway horizontal and vertical interference, increase highwaycapacity and service level, and give full play to the safe, fast, economical,comfortable capacity of the high-grade highways. At present, most researches focuson the type, function and role of traffic engineering facilities. These studies aremostly qualitative analysis, less quantitative analysis, and less study on drivingfault-tolerance capacity of highway traffic engineering facilities.The study on driving fault-tolerance capacity of highway traffic engineeringfacilities,not only has a direct relationship to the technical parameters of the highwaytraffic engineering facilities design and setting, but also closely related with thedrivers’ behavior characteristics and driver personality traits. The research startingpoints are the information quantity research of highway traffic engineering facilitiesand drivers’ driving error, in this thesis, and the study end-result is the drivingfault-tolerance capacity study of the highway traffic engineering facilities. This paper,base on absorbing and learning research results of the drivers’ behaviorcharacteristics, traffic engineering facilities, as well as fault-tolerance aspects athome and abroad. The theoretical research is its study main line, and themathematical models building is its research core, and use the combination analysismethods of macro and micro, qualitative and quantitative, and carry out the drivingfault-tolerance capacity study of highway traffic engineering facilities. Upon theinvestigation, achievements highlight in enhancing the plan, design, building andoperations of highway system, and ameliorating highway transport efficiency andsafety and achieving sustainable development highway transport in final.This paper analyzes the main influencing factors of drivers’ behaviorcharacteristics. Base on the main research contents and the general study framework,establishing the experimental test collection scheme, choosing the experimental roadroutes, collating, analyzing the experimental datum, and building the database.This paper analyzes the basic classification and the function of the highwaytraffic engineering facilities. In addition, analyzes the data distribution characteristicsand its variation of the drivers’ visual dynamic characteristics, physiological and psychological static and dynamic characteristics and the driver’s operatingcharacteristics, etc.Based on analyzing the main influencing factors of dynamic driving legibility ofhighway traffic engineering facilities information, this paper researches the highwaytraffic engineering facilities information and its measurement method and builds themathematical models of the highway traffic engineering facilities informationmeasurement, the information entropy, the information density and the informationintensity of the highway traffic engineering facilities. Moreover, bring forward theuniversal models of the highway traffic engineering facilities informationmeasurement, for convenience of calculation and versatility of model.The thesis put forward driving illusion, driving error and driving fault withdifferent mistakes in driving process on highway, and analyses their connotation andthe mutual evolution law. In addition, constructing mathematic models of the drivingerror rate and driving fault rate. The models are simplified by introducing twoparameters of the traffic accident rate and AADT.The paper bring forward the conception of the driving fault-tolerance and thedriving fault-tolerance capacity of the highway traffic engineering facilities base onsummarizing and analyzing the fault-tolerance theories of the other fields, analyzingthe influencing factors to the driving fault-tolerance capacity of the highway trafficengineering facilities. Through amend basic information quantity measurement modelbase on the multiple influencing factors, achieving the availability informationquantity measurement model, along with the simplified mathematic model of drivingfault rate, working together to build the basic driving fault-tolerance capacity modelof the highway traffic engineering facilities. Through amend basic drivingfault-tolerance capacity model base on some factors of the freeway, the first-classhighway and the two-lane highway,and so on, achieving the factual drivingfault-tolerance capacity model of the highway traffic engineering facilities.In order to quantitative evaluating the driving fault-tolerance capacity of thehighway traffic engineering facilities accurately,the paper bring forward the drivingfault-tolerance rate of the highway traffic engineering facilities, and building thedriving fault-tolerance rate mathematic model base on the research results of thedriving fault-tolerance capacity model. And make certain four driving fault-tolerancegrades are A, B, C and D, and corresponding to the fault-tolerance level are excellent,good, medium and bad, and corresponding to the fault-tolerance color are green, blue, yellow and red. Finally, the thesis gives some recommendations of the highwaytraffic engineering facilities design and setting standard of the driving fault-tolerancecapacity.This paper regards study on driving fault-tolerance capacity of highway trafficengineering facilities as the breakthrough point, emphasizing the combination oftheoretical models and practice check. Some research achievements enrich relevantresearch subjects of the highway traffic engineering facilities. This provides a newidea and direction for the study of the highway traffic engineering facilities.
Keywords/Search Tags:highway traffic engineering facilities, information quantity measurement, driving error, driving fault-tolerance capacity, driving fault-tolerance rate
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