Abstract
This paper has proposed a multi-agent cellular automaton model to study traffic flow in a rectangle Manhattan-like urban system, in which street parking along the roadside is allowed. It is shown that the system exhibits three different states, i.e., the moving state in which the flow rate increases with the density almost linearly, the saturation state in which the flow rate only slightly changes with density, and the global deadlock state in which no vehicle can move. Influence of lengthwidth ratio of the system as well as the advanced traffic information system (ATIS) has been investigated. It is found that the fluxes of the saturation state remarkably decrease when the system becomes longer and narrower; Moreover, ATIS always benefits the system. However, the benefit of ATIS is limited as the system becomes longer and narrower. In the parameter range considered in this paper, a square system with ATIS performs the best. It is expected that our work could be useful for urban planning.
Published Version
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