Three Categories of Traffic Data: Historical, Current, and Predictive

Autor:	Joachim Wahle, Roland Chrobok, Michael Schreckenberg, Oliver Kaumann
Rok vydání:	2000
Předmět:	Current (stream) Geography Operations research Classification scheme Data mining Physik (inkl. Astronomie) computer.software_genre Traffic generation model computer
Zdroj:	IFAC Proceedings Volumes. 33:221-226
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)38150-8
Popis:	In this paper, different kinds of traffic data in transportation networks are presented and discussed. Historical data of the city of Duisburg are analysed with regard to a certain classification scheme. A framework for on-line simulations of urban as well as freeway traffic supplemented by real traffic data is shown. Using this sources of information a feasible algorithm for reliable traffic forecasts is discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4796e713e8de9228e4292d4b355596a9 https://doi.org/10.1016/s1474-6670(17)38150-8 Zobrazit plný text záznamu