Development of a Behavior-Based Passenger Flow Assignment Model for Urban Rail Transit in Section Interruption Circumstance

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.

Download Full-text

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.779-780.815 ◽

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.

Download Full-text

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

Sustainability ◽

10.3390/su11226441 ◽

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.

Download Full-text

An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

Discrete Dynamics in Nature and Society ◽

10.1155/2017/4035068 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8

Author(s):

Hanchuan Pan ◽

Zhigang Liu ◽

Hua Hu

Keyword(s):

Choice Behavior ◽

Route Choice ◽

Urban Rail Transit ◽

Passenger Flow ◽

Route Choice Behavior ◽

Assignment Model ◽

Flow Assignment ◽

Train Operation ◽

Metro Networks ◽

Passenger Flow Assignment

By considering the difference between a car driver’s route choice behavior on the road and a passenger’s route choice behavior in urban rail transit (URT), this paper proposes an enhanced Dynamic User Optimal (DUO) passenger flow assignment model for metro networks. To capture realistic URT phenomena, the model has integrated the train operation disturbance constraint. Real passenger and train data are used to verify the proposed model and algorithm. The results indicate that the DUO-based model is more suitable for describing passenger route choice behavior under uncertain conditions compared to a static model. Moreover, this paper found that passengers under oversaturated conditions are more sensitive to train operation disturbances compared to undersaturated passengers.

Download Full-text

Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints

The Scientific World JOURNAL ◽

10.1155/2015/940815 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 4

Author(s):

Baoming Han ◽

Weiteng Zhou ◽

Dewei Li ◽

Haodong Yin

Keyword(s):

User Equilibrium ◽

Capacity Constraints ◽

Urban Rail Transit ◽

Rail Transit ◽

Stochastic User Equilibrium ◽

Temporal And Spatial Distribution ◽

Transit Network ◽

Passenger Flow ◽

Assignment Model ◽

Urban Rail

There is a great need for estimation of passenger flow temporal and spatial distribution in urban rail transit network. The literature review indicates that passenger flow assignment models considering capacity constraints with overload delay factor for in-vehicle crowding are limited in schedule-based network. This paper proposes a stochastic user equilibrium model for solving the assignment problem in a schedule-based rail transit network with considering capacity constraint. As splitting the origin-destination demands into the developed schedule expanded network with time-space paths, the model transformed into a dynamic schedule-based assignment model. The stochastic user equilibrium conditions can be equivalent to the equilibrium passenger overload delay with crowding penalty in the transit network. The proposal model can estimate the path choice probability according to the equilibrium condition when passengers minimize their perceptive cost in a schedule-based network. Numerical example in Beijing urban rail transit (BURT) network is used to demonstrate the performance of the model and estimate the passenger flow temporal and spatial distribution more reasonably and dynamically with train capacity constraints.

Download Full-text