A cellular automaton traffic flow model for online simulation of traffic
Parallel Computing - Special issue on cellular automata: from modeling to applications
Modeling Traffic Flow at an Urban Unsignalized Intersection
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
Towards a realistic microscopic traffic simulation at an unsignalised intersection
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
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This paper proposes a new model to study traffic flow at a multilane urban intersection, through detailed space considerations, using cellular automata (CA) and Minimum Acceptable sPace (MAP) method. Heterogeneity and inconsistency of driver behaviour and interactions at entrances of two-lane intersections are simulated by incorporation of different categories of driver behaviour and reassignment of categories with given probabilities at each time step. The method is able to reproduce many features of urban traffic, for which gap-acceptance models are less appropriate. Vehicles on entry roads are allocated to lanes based on queue-length on each lane. Two two-lane roundabout models are developed with different vehicle lane-allocation patterns. Various properties of two-lane intersection operations have been explored including throughput, turning rates, critical arrival rates and congestion on the intersections. Vehicle movements in this paper relate to left-side driving, such as found in UK and Ireland. However, rules are generally applicable.