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Article
Optimization of urban logistics terminal distribution based on cellular automaton model
In this paper, a method of urban terminal network location based on cellular automaton and genetic algorithm is proposed for the lack of scientific and standardized evaluation system in urban terminal network ...
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Article
Bus stop setting problem based on cellular automaton traffic model
Nowadays, traffic jam becomes a big problem for cities with large population. Bus is a main component of public transportation, and then the design of bus stop position and size should improve efficiency of pu...
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Article
Offset control of traffic signal using cellular automaton traffic model
This paper deals with an offset control of traffic signals using a cellular automaton traffic model. A stochastic optimal control method for distributed traffic signals is modified to achieve coordinated traff...
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Article
Stochastic optimal control for traffic signals of asymmetrical intersection
In this paper, a real time stochastic optimal control method for traffic signals of asymmetrical intersection is proposed. A modified cellular automaton (CA) traffic model and Bayesian network (BN) model are u...
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Article
Real-time stochastic optimal control for traffic signals of multiple intersections
In this paper, a real-time stochastic optimal control method of traffic signal is modified. In addition, H-GA-PSO algorithm is proposed to search optimal traffic signals based on the stochastic model. The H-GA...
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Article
Traffic signal control for a multi-forked road
Traffic jams have become very serious at multiforked road intersections, and conventional pre-timed controls are less effective in such situations. In this article, a new traffic signal control system for mult...
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Article
Real-time traffic signal learning control using BPNN based on predictions of the probabilistic distribution of standing vehicles
In this article, a new method to predict the probabilistic distribution of a traffic jam at crossroads and a traffic signal learning control system are proposed. First, a dynamic Bayesian network is used to bu...