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Multiple vehicle detection and identification techniques have been widely applied to acquire road traffic information depending on various sensors, such as video camera, induction loop and magnetic sensor. Magnetic sensor can measure magnetic field distortion caused by the movement of vehicles and record reliable data. The precise volume and component of traffic flow can be obtained through reasonable...
Based on the characteristics of freight train control, which are nonlinear, time-delay, with multi-constraint and multiobjective, this paper focuses on speed tracking problem. Firstly, in a gradual process, a multi-modal fuzzy PID (MM-FPID) control algorithm is presented on the basis of a brief analysis of PI and PID control, which is generally used to train control in active services. Secondly, in...
Public traffic transfer function is an important element of transport service in the smart city. This paper analyzes the shortcomings of the previous three categories algorithm in the aspects of efficiency and rationality, and then puts forward a transfer algorithm on the principle of least transfer times and combined with shortest path algorithm based on the topological properties of the public transport...
In large scale urban mass transit (UMT) network, different lines in a transfer station always stop at different time. Thus, in the time span of last trains running, passengers are easy to face a problem when transferring: the next line already stopped. This brings big inconvenience to passengers. A survey from 276 passengers in Beijing shows that 51 percent passengers have ever missed the last trains...
Based on the transportation mode of high-speed trains and mid-speed trains operating on the same line, considering the delay time of different level trains influence the total late time differently and setting the double control parameters, the mathematical model of the train traffic control is built. According to the theory of genetic algorithm, the sectionalized structural optimization for chromosome...
A novel approach to construct accurate and interpretable fuzzy classification system based on hybrid co-evolution algorithm is proposed in this paper. First, the necessary conditions of interpretability are analyzed. Second, the search ability of Michigan-style and Pittsburgh-style genetic algorithm is examined respectively for designing fuzzy classification system. It is clearly demonstrated that...
Fuzzy particle swarm optimization (FPSO) has shown its great searching ability and high computing precision, while it can not assure the algorithm is convergent. In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO), employing the convergent gene. It differs from normal FPSO in that a convergent gene is introduced in the velocity equation. And it...
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