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Advanced diagnosing of the transport network
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Podstawowy problem, jaki pojawia się podczas opracowywania algorytmu diagnozowania systemu transportu drogowego, wynika z definicji diagnozowania jako efektu informacyjnego procesu diagnostycznego. Diagnozowanie to identyfikacja bieżącego stanu doskonale znanego, obserwowanego obiektu, jego właściwości w całej przestrzeni stanów i właściwości możliwych. Wynika z tego, że nie powinno się diagnozować nieznanego. Ten dylemat należy przełamać. Sens istnienia diagnoz prewencyjnych dotyczy zjawisk z reguły niepredyktywnych, ponieważ w przeciwnym razie stosowanie znalazłyby prewencyjne środki techniczne wbudowane w system. W pracy przedstawiono system transportu drogowego jako obiekt rozległy, którego struktura oraz sposób funkcjonowania stwarzają problemy podczas aplikacji odpowiedniego diagnozera. Zwrócono uwagę na trudności diagnozowania oraz podano możliwości ich rozwiązania w przyszłości
The constantly increasing participation of cars as means of transport causes the increase of traffic density and should entail the development of the whole road transport System. The low level of traffic safety on roads results from the insufficient development of road infrastructure, unadjusted to the constantly increasing number of vehicles, from the more and more increasing traffic flow density and from the fact drivers are not adapted to conditions existing in the system, sometimes purposely, but often because of their inexperience or ignorance about the current unfavorable situation on the road. The problems mentioned above indicate the need of diagnosing as the essential step to improve traffic safety on roads. Only an advanced monitoring of the road transport system can assure the improvement. The choice of the suitable method of diagnosing and also the adaptation of the proper diagnoser is an inconvenient task for the sake of the complex structure of diagnosed object. Every system is characterized by a certain structure. The division of the system containing relations of the system with the environment is the basic division. Systems that exchange mass, energy or information with the environment are called open systems. The road transport system can be considered to be a widespread open system. The widespread characteristic of systems is understood as including: spatial widespread featured of objects where system's units are in considerable distance to each other, existence of internal transport roads for moving personnel or means of transport, complexity of the object or multiplied continuous structure. The road transport system is characterized by each of these features. The connection of three important elements: the human being, the means of transport and the road can be separated as the basic system unit. As a widespread object, the road transport system causes a number of problems concerning diagnosing its state. The variety of system elements as well as the mutual connections of many different input quantities will make difficult the formulation of a proper algorithm of diagnosing in order to obtain the true state of the diagnosed object. The characteristics of diagnostic signals, such as traffic density, weather conditions or visibility, do not permit to predict them in the future. They are neither of harmonic property nor of linear function in time. Continuous data transmission, information about the state of the object in a given moment to the diagnoser and making decision concerning the necessity of undertaking changes in the system are required. The road transport system is also characterized by Unpredictable, Unknown, Unstopped and Sudden (UUUS) processes or situations. The need of diagnosing these processes often appeared during monitoring systems application. Methodical order during diagnosing UUUS processes permits to improve diagnosing by using well known diagnostic procedures and by implementing new developed procedures for new identified conditions in the system. Modern techniques such as satellite navigation, activity safety systems in road transport monitoring can be very useful. If information about the positions of vehicles on the road segment is being sent to the diagnoser installed in some distance, it can be an additional source of diagnostic information about the state of the system. This information can then be used in the diagnosing algorithm. The diagnoser could then determine the behaviour of a driver's group or assess a traffic flow on its road segment and prepare suitable recommendations for drivers. From the point of view of the diagnosing process, the advantage of using active control systems could be even more important. If the signals about using active control systems in the vehicle run into the diagnoser by a suitable transmitter, they can become an important source of information concerning vehicle users' behaviour on the road.
Rocznik
Tom
Strony
194--204
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
Bibliografia
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Bibliografia
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bwmeta1.element.baztech-article-BPW8-0008-0020