Evaluation of Operating Schemes on Municipal Rail Transit with Express/Local Mode

2021 ◽  
pp. 036119812110302
Author(s):  
Jing Teng ◽  
Hui Wang ◽  
Cen Zhang ◽  
Shaojie Liu
Keyword(s):  
Comprehensive Evaluation ◽  
Cost Model ◽  
Local Mode ◽  
Line Planning ◽  
Practical Applications ◽  
Advantages And Disadvantages ◽  
Passenger Flow ◽  
Flow Assignment ◽  
Rail Line ◽  
Passenger Flow Assignment

The express/local train mode has made municipal rail more competitive in connecting the city center with its suburbs. Therefore, how to design operating schemes is of concern to decision makers. Unlike earlier line planning optimization, this paper aims to provide a quick and comprehensive evaluation of operating performance in all feasible options through reasonable reduction of the scope of the operating schemes, rather than optimization for a single objective. To achieve this, the paper constructs a travel topology network structure based on the separation of trains, which regards express and local trains running on the common line as independent competitors. Focusing on the problems of uneven departure intervals and inconsistent dwell times caused by overtaking, a generalized cost model suitable for the express/local train mode is established. To solve the express/local line problems of multi-routes and high-overlapping, the improved Multinominal Logit (MNL) Model is used to construct a passenger flow assignment model, with the solution achieved by the Method of Successive Averages algorithm. Taking a municipal rail line in Guangzhou as a case study, this paper analyzes the advantages and disadvantages of feasible operation schemes with different characteristics in the express/local train ratio, the location and number of overtaking stations based on passenger flow assignment results and also the impacts of crowdedness on passenger flow dynamics. The results verified the effectiveness of our approach in the comprehensive evaluation of the express/local train mode and shed light on potential practical applications in determining a reasonable operating scheme.

scholarly journals A Method to Estimate URT Passenger Spatial-Temporal Trajectory with Smart Card Data and Train Schedules

2020 ◽  
Vol 12 (6) ◽  
pp. 2574
Author(s):  
Taoyuan Yang ◽  
Peng Zhao ◽  
Xiangming Yao
Keyword(s):  
Urban Rail Transit ◽  
Passenger Flow ◽  
Precise Estimation ◽  
Smart Card Data ◽  
Urban Rail ◽  
Flow Assignment ◽  
The Difference ◽  
Passenger Flow Assignment ◽  
Temporal Trajectory ◽  
Beijing Subway

Precise estimation of passenger spatial-temporal trajectory is the basis for urban rail transit (URT) passenger flow assignment and ticket fare clearing. Inspired by the correlation between passenger tap-in/out time and train schedules, we present a method to estimate URT passenger spatial-temporal trajectory. First, we classify passengers into four types according to the number of their routes and transfers. Subsequently, based on the characteristic that passengers tap-out in batches at each station, the K-means algorithm is used to assign passengers to trains. Then, we acquire passenger access, egress, and transfer time distribution, which are used to give a probability estimation of passenger trajectories. Finally, in a multi-route case of the Beijing Subway, this method presents an estimation result with 91.2% of the passengers choosing the same route in two consecutive days, and the difference of route choice ratio in these two days is 3.8%. Our method has high accuracy and provides a new method for passenger microcosmic behavior research.

Research on the Modeling Methods of the Service Network Meeting the Requirements of Passenger Flow Assignment in Urban Rail Transit

2013 ◽  
Vol 779-780 ◽  
pp. 815-820
Author(s):  
Jian Yu ◽  
Xing Chen Zhang ◽  
Bin Xu
Keyword(s):  
Urban Rail Transit ◽  
Service Networks ◽  
Service Network ◽  
Passenger Flow ◽  
Construction Methods ◽  
Network Meeting ◽  
Urban Rail ◽  
Flow Assignment ◽  
Passenger Flow Assignment ◽  
Network Type

The conceptual introduction of the service network and its function in passenger flow assignment are given. Based on the summary of the related research results, the service networks are divided into two classes as the matrix type and the network type according to the different construction methods. The modeling principles and methods of the network type service network are then proposed. The methods are explained in three aspects including node modeling, segment (or arc) modeling, and partial network modeling, which can, for a certain physical network and a certain line plan, construct the virtual service network that is required by the passenger flow assignment process. Corresponding modifications are required when using these methods in specific researches.

An integrated Bayesian approach for passenger flow assignment in metro networks

2015 ◽  
Vol 52 ◽  
pp. 116-131 ◽  
Author(s):  
Lijun Sun ◽  
Yang Lu ◽  
Jian Gang Jin ◽  
Der-Horng Lee ◽  
Kay W. Axhausen
Keyword(s):  
Bayesian Approach ◽  
Passenger Flow ◽  
Flow Assignment ◽  
Metro Networks ◽  
Passenger Flow Assignment

scholarly journals Operational Impacts of Using Restricted Passenger Flow Assignment in High-Speed Train Stop Scheduling Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Huiling Fu ◽  
Benjamin R. Sperry ◽  
Lei Nie
Keyword(s):  
High Speed ◽  
Impact Analysis ◽  
Stochastic Approach ◽  
High Speed Rail ◽  
Rail Network ◽  
Passenger Flow ◽  
Travel Path ◽  
Flow Assignment ◽  
Passenger Flow Assignment ◽  
Low Efficiency

One key decision basis to the train stop scheduling process is the passenger flow assignment, that is, the estimated passengers’ travel path choices from origins to destinations. Many existing assignment approaches are stochastic in nature, which causes unbalanced problems such as low efficiency in train capacity occupancy or an irrational distribution of transfer passengers among stations. The purpose of this paper is to propose a train stop scheduling approach. It combines a passenger flow assignment procedure that routes passenger travel paths freely within a train network and is particularly capable of incorporating additional restrictions on generating travel paths that better resemble the rail planner’s purpose of utilizing capacity resources by introducing four criteria to define the feasibility of travel path used by a traveler. Our approach also aims at ensuring connectivity and rapidity, the two essential characteristics of train service increasingly required by modern high-speed rails. The effectiveness of our approach is tested using the Chinese high-speed rail network as a real-world example. It works well in finding a train stop schedule of good quality whose operational indicators dominate those of an existing stochastic approach. The paper concludes with a comprehensive operational impact analysis, further demonstrating the value of our proposed approach.

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