The Instance Analysis on the Urban Rail Transit Transfer Stations with Multiple Lines

2014 ◽  
Vol 587-589 ◽  
pp. 1981-1985
Author(s):  
Yang Liu ◽  
Kuan Min Chen ◽  
Yong Ling Li

With the increasingly widespread attention on the construction of urban rail transit in big cities, it has aroused general concern about the normative and elaborative design of rail transit stations. Which becomes focal point of the research of urban rail transit is how to design effective and beautiful rail transit stations with legible and reasonable streamline organization. This paper focuses on the instance analysis on the design of foreign and domestic stations with multiple lines of urban rail transit at first. After the rail transit lines are classified into parallel and intersectant lines, the applicability and functional characters of urban rail transit transfer modes are summarized and concluded particularly with the line location modes, which is expected to provide references for the design of urban rail transit stations in China.

2014 ◽  
Vol 587-589 ◽  
pp. 1958-1962
Author(s):  
Jie Ping Sun

In this paper, there is a study on the effect of the lack of coordination between trains in the network, such as waiting aggravation, travel time extension. Through the study of the practical operation process and passenger transfer characteristics of urban rail transit, according to the types of line crossing, taking the minimized waiting time of all transfer passengers in station as the object function, the optimization model was designed for three lines with two intersections, solve the model by using the Lingo, and transfer stations, Xidan and Dongdan station, from lines No.1 No.4 and No.5 of Beijing Subway Network are chosen as an example to validate its rationality and availability. The result shows that the model is of important significance to reduce the travel time for transfer passengers.


Transport ◽  
2020 ◽  
Vol 35 (1) ◽  
pp. 26-36
Author(s):  
Yao Chen ◽  
Baohua Mao ◽  
Yun Bai ◽  
Zhujun Li ◽  
Jimeng Tang

Urban rail transit networks seldom provide 24-hour service. The last train is the latest chance for passengers. If passengers arrive too late to catch the last train, the path becomes inaccessible. The network accessibility thus varies depending on the departure time of passenger trips. This paper focuses on the computation method on the time-dependent accessibility of urban rail transit networks in order to facilitate the itinerary planning of passengers. A label setting algorithm is first designed to calculate the latest possible times for Origin–Destination (O–D) pairs, which is the latest departure times of passengers from the origins such that the destinations can be reach successfully. A searching approach is then developed to find the shortest accessible path at any possible departure times. The method is applied in a real-world metro network. The results show that the method is a powerful tool in solving the service accessibility problem. It has the ability to allow passengers to plan an optimal itinerary. Comparison analysis indicates that the proposed method can provide exact solutions in much shorter time, compared with a path enumeration method. Extensive tests on a set of random networks indicate that the method is efficient enough in practical applications. The execution time for an O–D pair on a personal computer with 2.8 GHZ CPU and 4GB of RAM is only 1.2 s for urban rail transit networks with 100 transfer stations.


Author(s):  
Jia Hong-Fei ◽  
Sang Heng ◽  
Luo Qing-Yu ◽  
Yang Jin-Ling ◽  
Miao Hong-Zhi

In reviewing the evacuation problem of mass passenger flow in urban rail transit transfer stations, the cooperative evacuation strategy considering urban rail transit and emergency bus simultaneously is found to be an efficient way. In this work, firstly, the dynamic characteristics of mass passenger flow are analyzed based on the abstraction and simplification of major entities of urban rail transit, including passengers, stations and trains. Then, the operations of the urban rail transit system are modeled, including the boarding, landing and transferring processes of the passengers and the status updating flows of the trains and stations. To realize the cooperative evacuation, a multi-objective optimization model considering the evacuation speed, the number of passengers transferred, and the amount of emergency buses is proposed. The NSGA-II algorithm is adopted to solve the proposed model, which can balance the theoretical validity and computational convenience. Last, the proposed strategy is applied in a real-life case based on the Shanghai Metro line, and the results verify its effectiveness and efficiency.


2016 ◽  
Vol 858 ◽  
pp. 255-261
Author(s):  
Ke Xin Huang ◽  
Hao Nan Yan ◽  
Yan Tao Gong ◽  
Bo Bin Wang ◽  
Chun Fu Shao

With the improvement of Beijing urban rail transit network, an increasing number of transfer stations come into being. The scale of the urban rail transit station becomes larger and the passenger flow volume increases dramatically which makes urban rail transit guidance information much more important. However, since the construction of urban rail transit system in China started relatively late, guiding sign system lacks of uniform standard and guidance information settings have many drawbacks so that it can hardly meet the demand of passengers. This paper, taking television as a carrier. And it gives the thought of removing guidance information to the carriage to serve arriving passengers in advance for best guiding effect. First, design a questionnaire and then issue questionnaires. Second, analyze the survey data and find out passengers’ demand for guidance information. Third, design a scheme on guidance information based on passengers’ demand. At last, use AnyLogic simulation software and select line 2 platform of Xizhimen station as a simulation environment to evaluate the effect of the scheme.


2021 ◽  
Vol 261 ◽  
pp. 03023
Author(s):  
Guoling Lang

This article analyzes the current development status of rail transit in various cities in China. Most cities are still dominated by subways. Then the relevant data is processed to obtain the linear relationship between transfer stations and rail mileage, rail stations and summarize the domestic rail Establish quantitative standards and conclude that rail transit has not yet become a transportation network. Then use the five indicators of line mileage, number of stations, number of interchange stations, average daily passenger volume, and passenger transport intensity to cluster the domestic urban rail transit using the method of cluster analysis, combining spatial Euclidean distance and compactness and other indicators Analysis, the classification results obtained have certain reference value.


Author(s):  
Zhenjun Zhu ◽  
Jun Zeng ◽  
Xiaolin Gong ◽  
Yudong He ◽  
Shucheng Qiu

With the continuous improvement of the operation line network of urban rail transit, analyzing influencing factors of transfer passenger flow of urban rail transit is critical to improve the transfer demand analysis of urban rail transit. Using data collected from questionnaires, transfer passenger flow surveys and smart cards, this study proposes an approach base on nested logit passenger flow assignment model considering transfer choice behaviours of passengers. The transfer passenger flow at seven transfer stations in Nanjing is obtained. Subsequently, this study investigates the potential influencing factors of transfer passenger flow, including the node degree, geographic location (located in the city center, urban fringe, suburbs or suburban fringe), economic location (distance from the city center) and transportation locations (if it is close to a transportation hub or in combination with the hub) of rail transit transfer stations. The results indicate that a positive correlation between the transfer passenger flow and the node degrees of transfer stations. However, the relationship between transfer passenger flow and the economic, geographic, and transportation locations of transfer stations is not clear. The finding have reference value for the network design of rail transit transfer stations and transfer facilities, and provide reference for the analysis of passenger flow under network operation.


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