The prediction of passenger flow distribution for urban rail transit based on multi-factor model

2016 ◽  
Author(s):  
Zhiying He ◽  
Jianling Huang ◽  
Yong Du ◽  
Bo Wang ◽  
Haitao Yu
Keyword(s):  
Factor Model ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

Influence of Emergency Passenger Flow Distribution in Urban Rail Network

2012 ◽  
Vol 450-451 ◽  
pp. 295-301 ◽  
Author(s):  
Ling Hong ◽  
Jia Gao ◽  
Rui Hua Xu
Keyword(s):  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Abstract Model ◽  
Flow Volume ◽  
Rail Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows ◽  
Urban Rail Transit Network

The emergency disposal of urban rail transit needs to accurately estimate the emergency range and total affected passenger flow volume. The urban rail transit network could be simplified to an abstract model which is easy to be analyst based on the graph theory method. Considering the actual network back-turning lines and vehicle storage tracks of urban rail network, the emergency range could be estimated effectively. The affected passenger flow could be classified as different kinds based on the different paths of passenger flow. The classification of passenger flow mainly includes “delay passenger flow”, “detour passenger flow” and “loss passenger flow”. Considering the emergency range, the different affected passenger flows could be superposed over time based on the abstract model, then the affected passenger flow volume and virtual loss time could be calculated out. The results could provide basis for the emergency disposal in urban rail transit. The example analysis is verified the feasibility of this method.

scholarly journals Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

2016 ◽  
Author(s):  
Long Gao ◽  
Limin Jia
Keyword(s):  
Modeling And Simulation ◽  
Superposition Principle ◽  
Flow Distribution ◽  
Service Level ◽  
Urban Rail Transit ◽  
Distribution Model ◽  
Rail Transit ◽  
Simulation Design ◽  
Passenger Flow ◽  
Urban Rail

Urban rail transit hub platform is the most important area for passenger flow distribution. In order to calculate passenger flow volume in platform and evaluate platform service level during rush hours, this paper presents a method for modeling and simulation of passenger flow distribution in platform. Passenger flow distribution model (PFDM) is proposed based on the basic analysis and the superposition principle of passenger flow. Simulation design for PFDM is proposed by Anylogic, which contains simulation process and simulation model. Experiment results show that PFDM and simulation design are effective and accordant with the reality scenario, and the simulation precision is comparatively ideal. This research could provide a beneficial reference for train scheduling and operation management under the viewpoint of traffic safety and service level.

scholarly journals A Passenger Flow Control Method for Subway Network Based on Network Controllability

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Lu Zeng ◽  
Jun Liu ◽  
Yong Qin ◽  
Li Wang ◽  
Jie Yang
Keyword(s):  
Flow Control ◽  
Control Method ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Flow Density ◽  
Rail Transit ◽  
System Control ◽  
Flow Network ◽  
Passenger Flow ◽  
Urban Rail

The volume of passenger flow in urban rail transit network operation continues to increase. Effective measures of passenger flow control can greatly alleviate the pressure of transportation and ensure the safe operation of urban rail transit systems. The controllability of an urban rail transit passenger flow network determines the equilibrium state of passenger flow density in time and space. First, a passenger flow network model of urban rail transit and an evaluation index of the alternative set of flow control stations are proposed. Then, the controllable determination model of the urban rail transit passenger flow network is formed by converting the passenger flow distribution into a system state equation based on system control theory. The optimization method of passenger flow control stations is established via driver node matching to realize the optimized control of network stations. Finally, a real-world case study of the Beijing subway network is presented to demonstrate that the passenger flow network is controllable when driver nodes compose 25.3% of the entire network. The optimization of the flow control station, set during the morning peak, proves the efficiency and validity of the proposed model and algorithm.

scholarly journals Forecasting Passenger Flow Distribution on Holidays for Urban Rail Transit Based on Destination Choice Behavior Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Enjian Yao ◽  
Junyi Hong ◽  
Long Pan ◽  
Binbin Li ◽  
Yang Yang ◽  
...  
Keyword(s):  
Public Transportation ◽  
Choice Model ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Destination Choice ◽  
Rail Transit ◽  
Efficient Operation ◽  
Passenger Flow ◽  
Urban Rail ◽  
Proposed Model

Passenger travel flows of urban rail transit during holidays usually show distinct characteristics different from normal days. To ensure efficient operation management, it is essential to accurately predict the distribution of holiday passenger flow. Based on Automatic Fare Collection (AFC) data, this paper explores the passengers’ destination choice differences between normal days and holidays, as well as one-way tickets and public transportation cards, which provides support for variable selection in modeling. Then, a forecasting model of holiday travel distribution is proposed, in which the destination choice model is established for representing local and nonlocal passengers. Meanwhile, explanatory variables such as land matching degree, scenic spot dummy, and level of service variables are introduced to deal with the particularity of holiday passengers’ travel behavior. The parameters calibrated by the improved weighted exogenous sampling maximum likelihood (WESML) method are applied to predict passenger flow distribution in different holiday cases with annual changes in the metro network, using the data collected from Guangzhou Metro, China. The results show that the proposed model is valid and performs better than the other comparable models in terms of forecasting accuracy. The proposed model has the capability to provide a more universal and accurate passenger flow distribution prediction method for urban rail transit in different holiday scenarios with network changes.

scholarly journals Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

2016 ◽  
Author(s):  
Long Gao ◽  
Limin Jia
Keyword(s):  
Traffic Safety ◽  
Flow Distribution ◽  
Simulation Models ◽  
Performance Comparison ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Main Mode ◽  
Dynamic Variation ◽  
Passenger Flow ◽  
Urban Rail

Urban rail transit has become the main mode to ease traffic congestion. Researches on the dynamic variation regularity of passenger flow distribution and passenger flow volume of urban rail transit hub platform have important implication in hub capacity design, operation organization and risk prevention. This paper proposes a passenger flow distribution integrating model (PFDIM) based on the basic theory analysis and basic parameter models of passenger flow distribution in hub platform. Simulation designs of PFDIM are built with Java and Anylogic, which contain simulation system functional framework, implementation path, simulation processes and simulation models. By case study, the performance comparison between two simulation methods indicates that simulation designs are scientific and accordant with the reality scene; calculation results prove that PFDIM has a good performance on describing the dynamic variation regularity of passenger flow distribution. Moreover, the experiments with different departure intervals could provide the reference for train scheduling under the viewpoint of traffic safety and service level.

scholarly journals Optimal Adjustment Schemes on the Long Through-Type Bus Lines considering the Urban Rail Transit Network

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Si-Jia Zhang ◽  
Shun-Ping Jia ◽  
Yun Bai ◽  
Bao-Hua Mao ◽  
Cun-Rui Ma ◽  
...  
Keyword(s):  
Objective Function ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Time Value ◽  
Passenger Flow ◽  
Urban Rail ◽  
Level Model ◽  
Urban Rail Transit Network

It is of great importance to optimize the schemes of long through-type bus lines to adapt to the urban rail transit network. Focusing on the long through-type bus lines close to metro stations, a bilevel programming model on the adjustment schemes of bus lines is proposed, taking the impacts of urban rail transit network into account. The upper level model aims at adjusting the setting decisions of stop stations and vehicle headways of bus lines to minimize the passenger travel cost and maximize the benefits of bus operators. The lower level model is a passenger flow assignment model based on Logit-SUE considering the crowding perception of passengers in bus vehicles. Moreover, the constraint of average load factor of the bus line sections is considered. Then the genetic algorithm is applied to solve the proposed model, and a numerical example is conducted to verify the effectiveness. Results show that the value of the objective function of the model is improved by 27.2%, in comparison with the original scheme. Even though the average travel cost of passengers increases slightly, the bus line operation cost and the imbalance degree of load factors are reduced by 46.1% and 18.6%, respectively. The sensitivity analyses show that it is better to divide the long through-type bus line into several separate bus lines with independent operation, respectively, under the condition of unbalanced passenger flow distribution. Meanwhile, the multiple bus lines are more adapted to the unbalanced passenger flow distribution when the weight of the benefits of the bus operators in the total objective function is bigger. Besides, the lower time value that the passengers perceive, the more passengers willing to take bus than metro trains. As the increment of the passenger time value, the combination of feeder bus lines and a longer bus line is better for passengers’ trip demand than the long through-type bus line.

Sign in / Sign up

Export Citation Format

Share Document