Hybrid stochastic framework for freeway traffic flow modelling
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Brief paper: Freeway traffic estimation within particle filtering framework
Automatica (Journal of IFAC)
A Machine Learning Method for Dynamic Traffic Control and Guidance on Freeway Networks
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Optimal Motorway Traffic Flow Control Involving Variable Speed Limits and Ramp Metering
Transportation Science
A continuous Petri net approach for model predictive control of traffic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Holonic modeling of environments for situated multi-agent systems
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
On an implicit and stable resolution scheme for the Payne-Whitham model
Mathematical and Computer Modelling: An International Journal
A simulation tool for in-vehicle navigation systems evaluation
International Journal of Mobile Communications
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This paper employs previously developed modeling, validation, and stimulation tools to address, for the first time, the realistic macroscopic simulation of a real large-scale motorway network. More specifically, the macroscopic simulator METANET, involving a second-order traffic flow model as well as network-relevant extensions, is utilized. A rigorous quantitative validation procedure is applied to individual network links, and subsequently a heuristic qualitative validation procedure is employed at a network level. The large-scale motorway network around Amsterdam, The Netherlands, is considered in this investigation. The main goal of the paper is to describe the application approach and procedures and to demonstrate the accuracy and usefulness of macroscopic modeling tools for large-scale motorway networks.