Title :
A multi-agent system for on-line simulations based on real-world traffic data
Author :
Wahle, Joachim ; Schreckenberg, Michael
Author_Institution :
Dept. of Phys. of Transp. & Traffic, Duisburg Univ., Germany
Abstract :
Presents and reviews a framework for online simulations and predictions which are based on the combination of real-world traffic data and a multi-agent traffic flow model. The agent architecture consists of two layers which distinguish the different tasks that road users have to perform. The framework is applied to the urban road network of Duisburg and the freeway network of North Rhine-Westphalia. On the basis of historical data, heuristics are derived, which can be combined with the dynamic data of the simulations to provide a short-term traffic forecast. The necessity for an anticipatory traffic forecast, which includes decision-making and route choice behavior of the road users, is discussed.
Keywords :
digital simulation; forecasting theory; multi-agent systems; online operation; road traffic; software architecture; traffic engineering computing; Duisburg, Germany; North Rhine-Westphalia freeway network; agent architecture; anticipatory traffic forecast; decision-making; heuristics; historical data; multi-agent system; multi-agent traffic flow model; online simulations; road traffic data; road user tasks; route choice behavior; short-term traffic forecast; urban road network; Decision making; Demand forecasting; Intelligent transportation systems; Multiagent systems; Navigation; Physics; Predictive models; Roads; Telecommunication traffic; Traffic control;
Conference_Titel :
System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on
Conference_Location :
Maui, HI, USA
Print_ISBN :
0-7695-0981-9
DOI :
10.1109/HICSS.2001.926332
