Method research for high-speed train operation adjustment based on Immune Genetic Algorithm

2016 ◽  
Author(s):  
Miao Yifeng ◽  
Zhou Xiaozhao ◽  
Zhang Qi ◽  
Chen Feng
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
High Speed Train ◽  
Immune Genetic Algorithm ◽  
Train Operation ◽  
Train Operation Adjustment

scholarly journals Future Perspective of Psychometric Assessment in Screening of Locomotive Drivers for High Speed Train Operation on Indian Railways

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Vishnu Kumar
Keyword(s):  
Risk Factors ◽  
High Speed ◽  
Future Perspective ◽  
Psychometric Assessment ◽  
High Speed Train ◽  
Safety Critical ◽  
Train Operation

Train operation at higher speed necessitates attentiveness, alertness and ability to respond promptly with precision and promptness for taking prudent decisions under dynamic situation of train driving. Proficiency and competence of locomotive drivers, their acumen and expertise to formulate strategies for dealing with the varying situations associated with operation of trains involve manifestation of specific cognitive, psychomotor and behavioural abilities, in absence of which their reliability becomes safety critical. Deployment of proficient drivers possessing appropriate attribute and apposite aptitude can be ensured through an efficient psychometric assessment and the process of assessment becomes crucial in minimizing safety critical risk factors and ensuring efficiency and safety in high speed train operation.

scholarly journals Determination of Necessary Subsidiary Track According to Train Operation Frequency in a Heterogeneous Train Pattern

2020 ◽  
Vol 10 (12) ◽  
pp. 4164
Author(s):  
Hyoung June Kim
Keyword(s):  
Genetic Algorithm ◽  
Waiting Time ◽  
High Speed ◽  
The Third ◽  
Railway Construction ◽  
Different Types ◽  
High Speed Trains ◽  
Train Operation ◽  
Operation Frequency

In this study, a genetic algorithm was used to calculate the scheduled waiting time according to the train operation frequency of heterogeneous trains operating on one track. The acquired data were then used to determine the appropriate subsidiary track at which high-speed trains can load or release cargo away from low-speed trains. A metaheuristic genetic algorithm was applied and implemented using Javascript/jQuery. Six cases were investigated, which provided values of subsidiary track that vary according to the operation frequencies of different types of trains, and solutions were derived through 100 simulations using a stochastic method. The analysis results showed that the train overtaking frequency was the highest at the third intermediate station within the simulation, suggesting that this particular station requires a subsidiary track, even if the operating frequency of each train differs across the entire track considered in this study. The results of this study are expected to facilitate objective and practical planning during railway construction.

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