Digital camera as a data source of ITS solutions in traffic control and management

Piecha, J.

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Tytuł artykułu

Digital camera as a data source of ITS solutions in traffic control and management

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Piecha J.

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Warianty tytułu

Kamera cyfrowa jako źródło danych koncepcji ITS dla sterowania i zarządzania ruchem drogowym

Języki publikacji

Abstrakty

The traffic adaptive-control processes and Intelligent Transportation Systems (ITS) work on traffic characteristics provided by vehicles various detectors. In majority cases the algorithms work on vehicles number evidences only, recorded on traffic lanes. The expected data concerns the vehicles number and a time schedule observed at stop-lines on intersection inlets or another points of the traffic intensity checking. A satisfactory usage of the video technology needs various simplifications of the data source structure and the processing algorithms. For simplification of these all processes several solutions must be implemented. One can try reducing the data size and improve the processing algorithms. Better results can be expected after proper selection of the data sampling intervals, namely the data granularity finding. Several conclusions concerning the traffic recording and modeling are presented in this work. The discussed technology was implemented to produce.

Adaptacyjne sterowanie procesem transportowym oraz tzw. Inteligentne Systemy Transportowe (ITS) korzystają z charakterystycznych danych zarejestrowanych za pomocą różnych detektorów ruchu. W większości przypadków algorytmy sterowania wykorzystują zapis o liczbie pojazdów na pasach ruchu. Potrzebne dane dotyczą zarówno liczby pojazdów, jak i czasów ich dojazdu do linii zatrzymania na wlocie skrzyżowania lub innego charakterystycznego punktu pomiaru natężenia ruchu. Zadowalające zastosowanie technik pomiarowych wideo uwarunkowane jest wprowadzeniem wielu uproszczeń dla rejestrowanych danych i algorytmów przetwarzania. Modelowanie strumieni pojazdów wiąże się zwykle z pewnymi stratami rejestrowanych danych. Często te dane są nadmiarowe dla uzyskania zadowalającej jakości sterowania ruchem. Dla uproszczenia wszystkich faz sterowania przedstawiono kilka ważnych rozwiązań z teorii rejestracji i przetwarzania danych. Można dokonać znaczącej redukcji rozmiaru plików danych wejściowych oraz uprościć algorytmy ich przetwarzania, nie tracąc niczego z jakości sterowania. Dobrym sposobem dla tych ograniczeń jest określenie właściwego interwału próbkowania danych pomiarowych oraz zdefiniowanie rozmiarów ziarna pomiarowego systemu sterowania. Kilka istotnych rozwiązań, dotyczących rejestracji i modelowania procesów transportowych, zaprezentowano w niniejszym artykule. Opracowania te zostały wdrożone do produkcji.

Słowa kluczowe

traffic video detection road traffic modelling granular computing cellular automata vehicles manoeuvres

detekcja ruchu wideo modelowanie ruchu obliczenia granularne automat komórkowy pojazdy manewrowe

Wydawca

Wydawnictwo Politechniki Śląskiej

Czasopismo

Transport Problems

Rocznik

2012

Tom

T. 7, z. 4

Strony

57--70

Opis fizyczny

Bibliogr. 39 poz.

Twórcy

autor

Piecha J.

Silesian University of Technology, Faculty of Transport Krasińskiego st. 8, 40-019 Katowice, Poland, jan.piecha@polsl.pl

Bibliografia

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