Title :
Traffic forecast using simulations of large scale networks
Author :
Chrobok, Roland ; Wahle, Joachim ; Schreckenberg, Michael
Author_Institution :
Dept. of Phys. of Transp. & Traffic, Duisburg Univ., Germany
Abstract :
In this contribution an approach to traffic forecast using a microsimulator is presented. In order to provide network-wide information about the current traffic state a cellular automaton traffic flow model is combined with measured data. The framework is applied to the freeway network of North Rhine-Westphalia (NRW), where data from about 3,500 inductive loops are available and provided online minute by minute. Technical aspects of the simulation like the network structure are illustrated. Furthermore, heuristics are developed based on the statistical analysis of historical data
Keywords :
cellular automata; digital simulation; electric sensing devices; forecasting theory; heuristic programming; road traffic; statistical analysis; traffic engineering computing; Germany; NRW; North Rhine-Westphalia; cellular automaton traffic flow model; freeway network; heuristics; inductive loops; large-scale network simulations; microsimulator; network-wide information; statistical analysis; traffic forecast; Analytical models; Cellular networks; Computational modeling; Data analysis; Demand forecasting; Large-scale systems; Predictive models; Roads; Telecommunication traffic; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948696
