Berkeley group is actively developing such a large-scale and high-fidelity traffic simulation model for several big cities around the world. It builds upon the concept of Agent Based Modelling (ABM), where individual citizens are represented by intelligent agents. An agent is capable of navigating in a graph representation of the city’s road network along an optimum path, while maintaining interactions with other agents and dynamically re-planning the route in response to traffic congestion or road closures. The model can accommodate millions of agents and run simulations as in real time.

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