Research on Track Map Database for Low-Cost Train Control System

Author(s):  
Bai-gen Cai ◽  
Jiang Liu ◽  
Jian Wang ◽  
ShangGuan Wei
2012 ◽  
Vol 512-515 ◽  
pp. 1326-1332
Author(s):  
Hideo Nakamura ◽  
Jia Sun ◽  
Sei Takahashi ◽  
Masanori Yamamoto

Railways are an energy-efficient mode of transportation. Even so, efforts are being made to attain even further energy savings. The latest train-car model of the Shinkansen bullet train, while achieving enriched functionality and improved performance, has attained a 49% energy reduction compared with the 0-series Shinkansen train-cars that debuted at the start of Shinkansen's operation. Also, in the underlying train control system, technologies that will lead to energy reduction have been developed. In order to achieve further energy savings and higher-performance train control, we are developing a new train control system known as Automatic Train Protection and Block System (sometimes referred to ATP-Block system here). This new control system produces a high energy-saving effect compared with conventional signal systems based on ground equipment. We believe that realization of low-cost, highly functional energy-saving Railways will bring back users of automobiles and airlines to Railways, contributing to global energy saving and helping to prevent environmental destruction.


Author(s):  
Lei Jiang ◽  
Yiliu Liu ◽  
Xiaomin Wang ◽  
Mary Ann Lundteigen

The reliability and availability of the onboard high-speed train control system are important to guarantee operational efficiency and railway safety. Failures occurring in the onboard system may result in serious accidents. In the analysis of the effects of failure, it is significant to consider the operation of an onboard system. This article presents a systemic approach to evaluate the reliability and availability for the onboard system based on dynamic Bayesian network, with taking into account dynamic failure behaviors, imperfect coverage factors, and temporal effects in the operational phase. The case studies are presented and compared for onboard systems with different redundant strategies, that is, the triple modular redundancy, hot spare double dual, and cold spare double dual. Dynamic fault trees of the three kinds of onboard system are constructed and mapped into dynamic Bayesian networks. The forward and backward inferences are conducted not only to evaluate the reliability and availability but also to recognize the vulnerabilities of the onboard systems. A sensitivity analysis is carried out for evaluating the effects of failure rates subject to uncertainties. To improve the reliability and availability, the recovery mechanism should be paid more attention. Finally, the proposed approach is validated with the field data from one railway bureau in China and some industrial impacts are provided.


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