Realization of comprehensive monitoring and friendly evaluation system for gas environment of rail transit station

2021 ◽  
Author(s):  
Siyuan Liang ◽  
Qing Tian ◽  
Guofei Gao ◽  
Xuanchuan Zheng
Keyword(s):  
Evaluation System ◽  
Rail Transit ◽  
Transit Station ◽  
Gas Environment

Operation Organization at Urban Rail Transit Station under Large Passenger Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang
Keyword(s):  
Transport Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Common Condition ◽  
Urban Transit ◽  
Passenger Flow ◽  
Operation Process ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation

large passenger flow is a common condition of urban transit operation, and the station bears the pressure of large passenger flow directly. This paper analyzes the reason for the appearance of large passenger flow and the characteristics of it, discusses the principles and methods that the station can apply under large passenger flow combined with the passenger’s transport process and the operation process.

scholarly journals Research and Practice of individualized talent Training Mode for rail transit majors from the perspective of new engineering

2020 ◽  
Vol 218 ◽  
pp. 02003
Author(s):  
Zhao Wu ◽  
Hai Xiang Li ◽  
Jun Ying Qi
Keyword(s):  
Evaluation System ◽  
Teaching Practice ◽  
Implementation Process ◽  
Training Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Existing Problems ◽  
Training Mode ◽  
The Matrix ◽  
Set Up

In order to cultivate application-oriented talents of urban rail transit, individualized talent training mode is an important measure. In view of the existing problems in the training of rail transit professionals, the research group proposed the framework of individualized talent training under the background of new engineering, planned the matrix corresponding to graduation requirements and knowledge, ability and quality, and then set up the curriculum system and built the multi-evaluation system in the implementation process. The developed solution has been put into practice and will be tested in the future teaching practice activities in order to constantly improve the personalized talent training model.

Analysis and simulation optimization of passenger flow in urban rail transit station

2021 ◽  
Author(s):  
Yuzhuang Pian ◽  
Jinshuan Peng ◽  
Lunhui Xu ◽  
Pan Wu ◽  
Jinlong Li
Keyword(s):  
Simulation Optimization ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

Applicability of Genetic and Ant Algorithms in Highway Alignment and Rail Transit Station Location Optimization

2012 ◽  
Vol 3 (1) ◽  
pp. 13-36 ◽  
Author(s):  
Sutapa Samanta ◽  
Manoj K. Jha
Keyword(s):  
Optimization Problems ◽  
Ant Algorithm ◽  
Rail Transit ◽  
Search Problems ◽  
Location Optimization ◽  
Ant Algorithms ◽  
Transit Station ◽  
Similar Solutions ◽  
Station Location ◽  
Highway Alignment

The emergence of artificial intelligence (AI)-based optimization heuristics like genetic and ant algorithms is useful in solving many complex transportation location optimization problems. The suitability of such algorithms depends on the nature of the problem to be solved. This study examines the suitability of genetic and ant algorithms in two distinct and complex transportation problems: (1) highway alignment optimization and (2) rail transit station location optimization. A comparative study of the two algorithms is presented in terms of the quality of results. In addition, Ant algorithms (AAs) have been modified to search in a global space for both problems, a significant departure from traditional AA application in local search problems. It is observed that for the two optimization problems both algorithms give almost similar solutions. However, the ant algorithm has the inherent limitation of being effective only in discrete search problems. When applied to continuous search spaces ant algorithm requires the space to be sufficiently discretized. On the other hand, genetic algorithms can be applied to both discrete and continues spaces with reasonable confidence. The application of AA in global search seems promising and opens up the possibility of its application in other complex optimization problems.

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