scholarly journals A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-6
Author(s):  
Zhengyu Xie ◽  
Yong Qin

Passenger flow risk forecasting is a vital task for safety management in high-speed railway transport hub. In this paper, we considered the passenger flow risk forecasting problem in high-speed railway transport hub. Based on the surveillance sensor networks, a passenger flow risk forecasting algorithm was developed based on spatial correlation. Computational results showed that the proposed forecasting approach was effective and significant for the high-speed railway transport hub.

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhengyu Xie ◽  
Limin Jia ◽  
Yong Qin ◽  
Li Wang

With the rapid development of high-speed railway in China, high-speed railway transport hub (HRTH) has become the high-density distribution center of passenger flow. In order to accurately detect potential safety hazard hidden in passenger flow, it is necessary to forecast the status of passenger flow. In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments on actual passenger flow status from a specific bottleneck position and its correlation points in HRTH showed that the proposed approach is effective to forecast the passenger flow status with high precision.


Author(s):  
Vladimir Shmatchenko ◽  
Pavel Plekhanov

Objective: To determine the main approaches to safety management of high-speed railway transport on the basis of modern international and domestic practices in the specified sphere. Methods: Analysis methods of security risks on railway transport were considered in accordance with modern international standards of management of interconnected indices’ complex, which include reliability, availability, maintainability and safety and cost (Life Cycle Cost – LCC) at all stages of transportation systems’ life cycle: EN 50126 (IEC 62278), EN 50128 (IEC 62279), EN 50129 (IEC 62425) and IEC 60300-3-3. Results: The main approaches to safety measures of high-speed railway lines (VSM) were detected. The former involve using a lifecycle concept of engineering systems and facilities, management methodology of RAMS/LCC interconnected indices’ complex at all stages of a life cycle, wide application of the process approach and the tools of quality and safety management systems, development and implementation of technological maturity assessment methodology for security management activities, as well as object-oriented and coherent improvement of regulatory base, the systems of administrative and control and permission authorities, technical and technological development, management of external, inland and allocated risks under market relations. Practical importance: The examined approaches of VSM safety control make it possible to obtain a priori estimates of safety control processes and thus determine the achieved level of safety together with the levels of technological maturity of railway organizations’ processes.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Zhengyu Xie ◽  
Yong Qin

We consider the sensor networks hierarchical optimization problem in high-speed railway transport hub (HRTH). The sensor networks are optimized from three hierarchies which are key area sensors optimization, passenger line sensors optimization, and whole area sensors optimization. Case study on a specific HRTH in China showed that the hierarchical optimization method is effective to optimize the sensor networks for security monitoring in HRTH.


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