scholarly journals Analysis on the Operation Safety Management Mode of Urban Rail Transit

2020 ◽  
Vol 6 (3) ◽  
pp. 42
Author(s):  
Jingjing Yang

<p>With the continuous progress and renewal of science and technology in China, great changes have taken place in all aspects of people’s life<sup>[1]</sup>. The city is growing faster and faster. Economics, human culture and urban connotation have been greatly improved. It can be said that the progress of urban rail transit accelerates the development and prosperity of the city. The progress of rail transit provides people with great convenience. However, the phenomenon of traffic congestion has not been improved. The frequency of traffic accidents has not decreased. Therefore, researchers began to focus on the operation of urban rail transit operation safety management. This paper analyzes and discusses the safety management mode of rail transit, and finally draws a conclusion.</p>

2021 ◽  
Vol 11 (8) ◽  
pp. 3347
Author(s):  
Siqi Ma ◽  
Xin Wang ◽  
Xiaochen Wang ◽  
Hanyu Liu ◽  
Runtong Zhang

Although urban rail transit provides significant daily assistance to users, traffic risk remains. Turn-back faults are a common cause of traffic accidents. To address turn-back faults, machines are able to learn the complicated and detailed rules of the train’s internal communication codes, and engineers must understand simple external features for quick judgment. Focusing on turn-back faults in urban rail, in this study we took advantage of related accumulated data to improve algorithmic and human diagnosis of this kind of fault. In detail, we first designed a novel framework combining rules and algorithms to help humans and machines understand the fault characteristics and collaborate in fault diagnosis, including determining the category to which the turn-back fault belongs, and identifying the simple and complicated judgment rules involved. Then, we established a dataset including tabular and text data for real application scenarios and carried out corresponding analysis of fault rule generation, diagnostic classification, and topic modeling. Finally, we present the fault characteristics under the proposed framework. Qualitative and quantitative experiments were performed to evaluate the proposed method, and the experimental results show that (1) the framework is helpful in understanding the faults of trains that occur in three types of turn-back: automatic turn-back (ATB), automatic end change (AEC), and point mode end change (PEC); (2) our proposed framework can assist in diagnosing turn-back faults.


2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ding Lv ◽  
Qunqi Wu ◽  
Bo Chen ◽  
Yahong Jiang

In order to achieve the purpose of improving the travel efficiency of commuters in the periphery of the city, expanding the beneficiary groups of urban rail transit, and alleviating urban road traffic congestion, when planning and setting up HOV in the periphery of the city, it is necessary to analyze the feasibility of HOV lane setting from both the demand conditions and the setting conditions. This paper combines machine learning to construct a decision-making evaluation model for HOV lane setting and studies the optimal layout model and algorithm of HOV lanes in service rail transit commuter chain. The setting, planning, and layout of HOV lanes are a two-way interactive process of traveler's path selection and designer's road planning. Finally, after the model is constructed, the performance of the system model is verified. The results show that the system studied in this paper can be used for traffic data and lane planning analysis. Therefore, in the process of urban operation, the HOV model constructed in this paper is mainly used to alleviate urban traffic and improve urban operation efficiency.


2012 ◽  
Vol 253-255 ◽  
pp. 1803-1807
Author(s):  
Ka Ding Liu ◽  
Jing Cao ◽  
Jiang Hu

In recent years, urban rail transit construction asks for the safety of project with strict requests, because of its difficulty, high risk and complexity characteristics. Henggang metro depot possess double using garage , DC1500 contact rail system, and cover property on the top of the garage, thus it will face greater challenge in safety management. According to above characteristics, this research puts forward the system security goals, principles, and establishes a set of safeguard system, which includes three aspects: the legal laws and regulations, the organization construction, and the technical method. The safeguard system will play an important and guiding role in government standard formation and metro-property development mode promotion in other cities.


2014 ◽  
Vol 610 ◽  
pp. 1053-1056 ◽  
Author(s):  
Jin Chu Zheng ◽  
Chang Xu Ji ◽  
Long Gao

The urban rail transport is the backbone of urban public transport. It alleviates urban traffic congestion and plays an important role. Survey and determination of the passenger walking time in urban rail transit station passages is the basic work to realize train coordination between lines and to reduce the passenger waiting time in transferring. The paper focuses on the passenger walking time on transfer pedestrians from the statistical point of view. Finally, Beijing Dongdan transfer station is selected as an example. This study has some practical applications.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuan Zhao ◽  
Xiaobing Ding

With the increase and extension of urban rail transit lines, networked operation has become an inevitable trend of rail transit operations. Once an emergency occurs, it will cause operational delays; in serious cases, it may further lead to group safety incidents. Firstly, the sudden failure of rail transit is defined, statistical calculation is made according to the accumulated failure data, and then the sudden failures and average processing time are quantitatively calculated. Secondly, the time delay and propagation under the state of sudden failure are analyzed, on the basis of which the propagation and dissipation of time delay based on the single station failure cellular automata model and SIR model network based on multistation fault delay propagation are constructed. Finally, the reliability and accuracy of the model are verified by a case of rail transit in a city. The scheme in this paper can be used to estimate the scope of time and space delay under the sudden failure of rail transit and can provide the basis for the adjustment of traffic organization scheme and evacuation of passenger flow under the sudden failure.


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