scholarly journals Deformation Control Analysis of Unequal-Length Bridge Piles of Urban Rail Transit Tunnel Crossing Urban Expressway Elevated Bridge

2021 ◽  
Author(s):  
Ye Yuan ◽  
Yang Wang ◽  
Mengda Ding
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Control Analysis ◽  
Main Road ◽  
Deformation Control ◽  
The North ◽  
Urban Rail ◽  
Grouting Reinforcement ◽  
Unequal Length ◽  
Beijing Subway

Taking the viaduct project of the main road bridge of Fushi road between Jinding Street station and Jinanqiao Station of line 11 of Beijing subway as the background, due to geological reasons, the length of the pile of the main road bridge of Fushi road is 60m to the west of Xin’an road in the north, the pile length of the bridge east of North Xin’an road is 21.5m, and line 11 of Beijing subway passes between two piles of unequal length. This paper simulates the whole construction process with the method of numerical analysis, analyzes the causes of the deformation of the bridge piles by calculation, puts forward the measures of grouting reinforcement in the whole section, sums up the deformation rules of the unequal length bridge piles, and puts forward the deformation control values, in order to ensure the safety of Rail Transit Construction, for the follow-up similar projects to provide a basis and reference.

The Optimization of Arriving and Departing Time of Trains in Urban Rail Transit Based on Passenger Transfer

2014 ◽  
Vol 587-589 ◽  
pp. 1958-1962
Author(s):  
Jie Ping Sun
Keyword(s):  
Travel Time ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Operation Process ◽  
Urban Rail ◽  
Practical Operation ◽  
Time Extension ◽  
Transfer Stations ◽  
Important Significance ◽  
Beijing Subway

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.

The Effect of Urban Rail Transit on Decreasing Energy Consumption and Air Pollution in Ahvaz City

2011 ◽  
Vol 255-260 ◽  
pp. 2802-2805 ◽  
Author(s):  
Seyed Abbas Tabatabaiee ◽  
Ali Rahman
Keyword(s):  
Air Pollution ◽  
Energy Consumption ◽  
Central Area ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Karun River ◽  
Railway Systems ◽  
The North ◽  
Urban Rail ◽  
North Eastern

In this paper, the effect of utilizing first urban rail transit on decreasing energy consumption as well as air pollution in Ahvaz has been investigated. The No. 1metro path in Ahvaz with 23 kilometers length will connect the north eastern part of the city to its south western part by passing through the central area and crossing Karun River. At the beginning, some points will be mentioned regarding railway systems around the world and then the specification of Ahvaz No. 1 metro will be introduced. Finally, the amount of decreasing energy consumption and air pollution after utilizing 4 urban metro lines will be investigated. The results have shown considerable effects on decreasing these items.

Complexity Analysis of Beijing Urban Rail Transit Network

2014 ◽  
Vol 998-999 ◽  
pp. 1366-1369
Author(s):  
Xiao Han Li
Keyword(s):  
Path Length ◽  
Complexity Analysis ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Urban Rail ◽  
Special Complex ◽  
Planning And Construction ◽  
Urban Rail Transit Network ◽  
Beijing Subway

Urban rail transit network is a special complex kind of network, The lines and nodes' layout determine the entire network's features. This paper analyzes the topologic properties, degree distribution, average path length and robustness of Beijing subway network by matlab and it also analyzes the evolution of Beijing subway network, which can be worked for the future development of urban subway network planning and construction.

scholarly journals A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Miao Zhang ◽  
Yihui Wang ◽  
Shuai Su ◽  
Tao Tang ◽  
Bin Ning
Keyword(s):  
Urban Traffic ◽  
Urban Rail Transit ◽  
Mixed Integer ◽  
Rail Transit ◽  
Train Scheduling ◽  
Passenger Demand ◽  
Urban Rail ◽  
Train Services ◽  
Minlp Model ◽  
Beijing Subway

In urban rail transit systems, train scheduling plays an important role in improving the transport capacity to alleviate the urban traffic pressure of huge passenger demand and reducing the operation costs for operators. This paper considers the train scheduling with short turning strategy for an urban rail transit line with multiple depots. In addition, the utilization of trains is also taken into consideration. First, we develop a mixed integer nonlinear programming (MINLP) model for the train scheduling, where short turning train services and full-length train services are optimized based on the predefined headway obtained by the passenger demand analysis. The MINLP model is then transformed into a mixed integer linear programming (MILP) model according to several transformation properties. The resulting MILP problem can be solved efficiently by existing solvers, e.g., CPLEX. Two case studies with different scales are constructed to assess the performance of train schedules with the short turning strategy based on the data of Beijing Subway line 4. The simulation results show that the reduction of the utilization of trains is about 20.69%.

scholarly journals Riding Comfort Evaluation Based on Longitudinal Acceleration for Urban Rail Transit—Mathematical Models and Experiments in Beijing Subway

2020 ◽  
Vol 12 (11) ◽  
pp. 4541 ◽  
Author(s):  
Huiru Ma ◽  
Dewang Chen ◽  
Jiateng Yin
Keyword(s):  
Mathematical Models ◽  
Fuzzy Sets ◽  
Fuzzy Set ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Longitudinal Acceleration ◽  
Urban Rail ◽  
Acceleration Data ◽  
Better Than ◽  
Beijing Subway

Riding comfort is an important index to measure the quality of service for railways, especially for congested urban rail transit systems where the majority of passengers cannot find a seat. Existing studies usually employ the value of longitudinal acceleration as the key indicator to evaluate the riding comfort of vehicles, while there is no validated mathematical models to evaluate the riding comfort of urban rail trains from the perspective of passengers. This paper aims to employ the collected longitudinal acceleration data and passengers’ feedback data in Beijing subway to qualitatively measure and validate the riding comfort of transit trains. First, we develop four regular fuzzy sets based comfort measurement models, where the parameters of the fuzzy sets are determined by experiences of domain experts and the field data. Then a combinational model is given by averaging the four regular fuzzy set models to elaborate a comprehensive measurement for the riding comfort. In order to verify the developed models, we conducted a questionnaire survey in Beijing subway. The surveyed riding comfort data from passengers and the measured acceleration data are used to validate and optimize the proposed models. Two key parameters are deduced to describe all parameters in the fuzzy set models and a meta-heuristic algorithm is applied to optimize the parameters and weight coefficients of the combinational model. Comparing the collected comfort data with the comfort levels and values calculated by different models shows that the averaging model is better than any regular fuzzy set model. Furthermore, the optimized model is better than the averaging model and provides the best accuracy and robustness for riding comfort measurement. The models provided in this paper offer an optional way to measure the riding comfort for further assessment and more comprehensively tuning of train control systems.

Prediction of Urban Rail Transit Sectional Passenger Flow Based on Elman Neural Network

2014 ◽  
Vol 505-506 ◽  
pp. 1023-1027 ◽  
Author(s):  
Qian Li ◽  
Yong Qin ◽  
Zi Yang Wang ◽  
Zhong Xin Zhao ◽  
Ming Hui Zhan ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Forecast Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Elman Neural Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Modeling Experiment ◽  
Beijing Subway

This paper based on the feature of Beijing urban rail transit sectional passenger flow, combined with Elman neural network. After carrying out modeling experiment many times, a reasonable forecast model about the prediction of urban rail transit sectional passenger flow was established. Then the Elman neural network model was used to predict the sectional passenger flow of Beijing Subway Line 1, from Xidan station to Fuxingmen Station. At last the output results was compared with that of BP neural network, the result shows that the Elman neural network is more precise and effective than the BP neural network in the prediction of urban rail transit sectional passenger flow.

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