Modeling Traffic Flow at an Urban Unsignalized Intersection
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
A Multi-Agent System for On-Line Simulations Based on Real-World Traffic Data
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
Modeling urban traffic: a cellular automata approach
IEEE Communications Magazine
Modelling traffic flow at a multilane intersection
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Simulation of heterogeneous motorised traffic at a signalised intersection
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
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A model, discrete in terms of time, geometrical space and velocity, is defined for a mix of car and bicycle traffic. Although based on cellular automata (CA) and interchangeable with a CA model in some special cases, the spatial aspect of the model presented here includes some characteristics that set it apart from CA models, such as overlapping cells and extended stochasticity. These characteristics allow easy incorporation of a variety of network elements into a spatial network model. The behaviour model includes rules for movement along stretches of road, as well as rules of behaviour at decision and conflict points on the road. Agent based simulations are run for three simple scenarios and results of these simulations are presented.