scholarly journals Passenger Flow Pushing Assignment Method for an Urban Rail Network Based on Hierarchical Path and Line Decomposition

2019 ◽  
Vol 11 (22) ◽  
pp. 6441
Author(s):  
Deng ◽  
Zeng ◽  
Mei
Keyword(s):  
Temporal Distribution ◽  
Urban Rail Transit ◽  
Divide And Conquer ◽  
Time Varying ◽  
Passenger Flow ◽  
Urban Rail ◽  
Flow Assignment ◽  
Path Search ◽  
Passenger Flow Assignment ◽  
Transportation Organization

: For urban rail transit, an environmentally-friendly transportation mode, reasonable passenger flow assignment is the basis of train planning and passenger control, which is conducive to the sustainability of finance, operation and production. With the continuous expansion of the scale of urban rail networks, passenger travel path decision-making tends to be complex, which puts forward higher requirements of networked transportation organization. Based on undirected graphs and the idea of the recursive divide-and-conquer algorithm, this paper proposes a hierarchical effective path search method made up of a three-layer path generation strategy, which consists of deep search line paths, key station paths composed of origin–destination (O-D) nodes and transfer stations, and the station sequence path between the key stations. It can effectively simplify the path search and eliminate obvious unreasonable paths. Comparing the existing research results based on the classical polynomial Logit model, a practical Improved C-Logit multi-path passenger flow assignment model is proposed to calculate the selection ratio of each path in the set of effective paths. Combining the hierarchical path search strategy, the O-D pairs of passenger flow are divided into local-line and cross-line situations. The time-varying cross-line passenger flow is decomposed into a series of passenger sections along the key station paths. A passenger flow pushing assignment algorithm based on line decomposition is designed, which satisfies the dynamic, time-varying and continuous characteristics. The validation of Guangzhou Metro’s actual line network and time-varying O-D passenger demand in 2019 shows that the spatio-temporal distribution results of the passenger pushing assignment have a high degree of coincidence with the actual statistical data.

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.

Research on Passenger Path Search Method Based on the Service Network of Urban Rail Transit

2013 ◽  
Vol 475-476 ◽  
pp. 737-742
Author(s):  
Zi Qing Li ◽  
Rui Song ◽  
Zhi Jie Li
Keyword(s):  
Shortest Paths ◽  
Search Method ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Service Network ◽  
Route Choice Behavior ◽  
Urban Rail ◽  
Path Search ◽  
Passenger Flow Assignment ◽  
Major Factors

This study focuses on the major factors influencing the passenger flow assignment in the service network of Urban Rail Transit (URT). A passenger path search method was modeled. It also took full consideration of travelers’ route choice behavior in the service network of URT. Then the figure of service network was built, and assignment indicators of arc segments were set up and quantized. Finally, the traditional K-shortest paths algorithm had been improved based on the case study of calculating and analyzing line A. The results confirm passengers’ traveling behavior can be reflected better by service network.

scholarly journals Deviation of Peak Hours for Urban Rail Transit Stations: A Case Study in Xi’an, China

2019 ◽  
Vol 11 (10) ◽  
pp. 2733 ◽  
Author(s):  
Lijie Yu ◽  
Quan Chen ◽  
Kuanmin Chen
Keyword(s):  
Temporal Distribution ◽  
Urban Rail Transit ◽  
Flow Volume ◽  
Passenger Flow ◽  
Urban Rail ◽  
Deviation Coefficient ◽  
Scale Design ◽  
The Relationship ◽  
The City

The inconsistencies of passenger flow volume between stations’ peak hours and cities’ peak hours have emerged as a phenomenon in various cities worldwide. Passenger flow forecasting at planning stages can only predict passenger flow volume in city peak hours and for the whole day. For some stations, the highest flow does not occur in the city peak hours, and station scale design is often too small. This study locates the formation mechanism of station peak in which the temporal distribution of the station is the superposition of different temporal distributions of the purpose determined by land-use attributes. Data from 63 stations in Xi’an, China, were then used to present an enlargement coefficient which can change the boarding and alighting volume in city peak hours to a station’s own peak hours. This was done by analyzing the inconsistencies of passenger flow volume between the station’s peak hours and the city’s peak hours. Morning peak deviation coefficient (PDC) and evening PDC were selected as datasets, and stations were classified accordingly. Statistics of land usage for every type of station showed that when the stations were surrounded by developed land, the relationship between the PDC and the commuter travel land proportion was to some extent orderly. More than 90.00% of stations with a proportion of commuter travel land that was more than 0.50 had PDCs under 1.10. All stations with a proportion of commuter travel land that was less than 0.50 had morning PDCs over 1.10. Finally, data from 52 stations in Chongqing, China were used to verify the findings, with the results in Chongqing predominantly corresponding to those in Xi’an.

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