Abstract
Recently, almost proposed simulation models for traffic simulation is in one of two main categories: either micro simulation based on agent model, or macro simulation based on flow modelling. Inspire of many advantages of agent-based approach in small scale simulation, it is no longer suitable for large scale simulation because of the huge amount of processing and calculations. In order to avoid this limitation, this paper introduces an agent-based model for a large scale: instead of visualise the circulation of all individual transports, we visualise only the status of traffic network and the simulation of circulation is considered as a background process. This model is applied to the traffic network of Hanoi to analyse the hot or bottle neck points on the transportation network of the city.
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Nguyen, M.H., Ho, T.V., Nguyen, M.S., Phan, T.H.P., Phan, T.H., Anh Trinh, V. (2012). An Agent-Based Model for Simulation of Traffic Network Status. In: Bui, L.T., Ong, Y.S., Hoai, N.X., Ishibuchi, H., Suganthan, P.N. (eds) Simulated Evolution and Learning. SEAL 2012. Lecture Notes in Computer Science, vol 7673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34859-4_22
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DOI: https://doi.org/10.1007/978-3-642-34859-4_22
Publisher Name: Springer, Berlin, Heidelberg
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