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In this paper, a new simulation approach for solving the mixed train scheduling problem on the high-speed double-track rail line is presented. Based on the discrete-time movement model, we propose control strategies for mixed train movement with different speeds on a high-speed double-track rail line, including braking strategy, priority rule, travelling strategy, and departing rule. A new detailed algorithm is also presented based on the proposed control strategies for mixed train movement. Moreover, we analyze the dynamic properties of rail traffic flow on a high-speed rail line. Using our proposed method, we can effectively simulate the mixed train schedule on a rail line. The numerical results demonstrate that an appropriate decrease of the departure interval can enhance the capacity, and a suitable increase of the distance between two adjacent stations can enhance the average speed. Meanwhile, the capacity and the average speed will be increased by appropriately enhancing the ratio of faster train number to slower train number from 1.

We proposed a model of the train rear-end collision accidents based on stochastic Petri nets (SPN) theory. By isomorphic Markov chain model of the proposed accident model, we provide the quantitative analysis of the train rear-end collision accidents. Fuzzy random method is also applied to analyze the performance of the proposed model. In addition, according to the data extracted from a large amount of historical data of the accident statistics, we present a case analysis and discussion. It showed that the results of the proposed train rear-end accident model based on SPN are reasonable in practical applications and can be used to effectively analyze the accidents and prevent loss, and the results may be a reference to the department of railway safety management.

In this paper, we present an automated and distributed real-time video surveillance architecture used to develop intelligent video surveillance system. It has two features: (1) each surveillance terminal is designed as an agent, which is responsible for raw information processing from its according sensors, and it ensures that all raw information is processed in the front-end of the system and only processing results are transmitted through IP network. Furthermore, an automatic video storage, video recording and data transmission mechanism based on surveillance events is applied in the system to realize data transmission on demand. All these can avoid transmitting lots of non-essential data and sharply reduce network load to meet the requirement of realtime surveillance. (2) an active blackboard is used as the data exchange center among information processing units and device control units, which ensures that all control information can be transmitted and exchanged automatically and actively, and it also ensures that the system can give quick response to a surveillance event and avoid information loss. Our video surveillance system will show its great satisfactory to various security-monitoring fields.

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