Real-time simulations based on live detector data - experiences of using sumo in a traffic management system

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Abstract

An accurate real-time simulation of traffic behaviour requires a large amount of very specific data. It seems obvious that the use of currently measured data from the field is a great opportunity to lead a simulation as close to reality as possible. Once a realistic simulation of the traffic behaviour is available, many applications are imaginable. It is possible to simulate different scenarios to support the decision making process. Forecasts of the impacts of different management strategies can be analyzed fast and easily to help improving the quality of urban traffic. Furthermore a prediction of future traffic states can be made using currently measured data of the traffic situation.

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Krumnow, M., & Kretschmer, A. (2014). Real-time simulations based on live detector data - experiences of using sumo in a traffic management system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8594, pp. 136–145). Springer Verlag. https://doi.org/10.1007/978-3-662-45079-6_10

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