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

fYear

2001

fDate

2001

Firstpage

434

Lastpage

439

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE

Conference_Location

Oakland, CA

Print_ISBN

0-7803-7194-1

Type

conf

DOI

10.1109/ITSC.2001.948696

Filename

948696