Artificial Intelligence
TraNS: realistic joint traffic and network simulator for VANETs
ACM SIGMOBILE Mobile Computing and Communications Review
A shortest path algorithm with novel heuristics for dynamic transportation networks
International Journal of Geographical Information Science
Scalability in Distributed Multi-Agent Based Simulations: The JADE Case
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 05
Multi-agent system in urban traffic signal control
IEEE Computational Intelligence Magazine
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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.