An approach to eliminate train route setting errors through application of parallel monitoring. (July 2016)

• Record Type: Journal Article
• Authors: Wang, Junfeng; Roberts, Clive; Chen, Lei; Zhang, Yong
• Is Part Of: Safety science. Volume 86(2016)
• Page Start: 228
• Page End: 237
• Publication Date: 2016-07
• Subjects: Train route setting -- Interlocking -- Parallel monitoring -- Virtual mirror image -- Pre-warning; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2016.03.003
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: Not only interlocking but schedule, staff operation, route using are integrated together. A virtual image technique is applied to supervise train route setting and process. Parallel monitoring can eliminate train route setting errors. The safety and performance of train control system will be improved. Abstract: Since 1980, there have been over 100 train collision accidents, resulting in many serious injuries and deaths as well as financial losses. In 2013 alone, there were cases of this type of accident in Switzerland, Argentina, America, Portugal and Russia. There are various causes of train collisions, including overrunning signals at danger, setting the wrong train routes, over-speeding, brake failures, etc. Setting the wrong train routes is regarded as the main cause of collisions. This paper proposes an approach to eliminate train route setting errors by applying parallel monitoring, which can be used to supervise train route setting and operator operation processes based on virtual image technique. Unlike a real interlocking system, this method can link together the traffic planning, operator operation, interlocking execution, train route occupation and releasing, to achieve the purpose of enhancing system safety and efficiency, whilst monitoring operator operations. The problems with existing train route setting systems are analyzed and a solution is proposed. The principle and methodology of using parallel monitoring to supervise train route setting based on virtual image technique are described. A designed architecture is illustrated and elaborated for a good understanding of the system. A case study of a Stochastic Petri Net (SPN) model using the proposed parallel monitoring is given, based on which the safety of the system is analyzed.