scholarly journals Estimation of Time-Varying Passenger Demand for High Speed Rail System

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-24
Author(s):  
Tangjian Wei ◽  
Feng Shi ◽  
Guangming Xu
Keyword(s):  
High Speed ◽  
Case Analysis ◽  
Error Rates ◽  
Time Varying ◽  
High Speed Rail ◽  
Passenger Demand ◽  
The Times ◽  
Railway Operation ◽  
Varying Demand ◽  
Estimation Of Time

Passenger demand plays an important role in railway operation and organization, and this paper aims to estimate passenger time-varying demand by simulating the ticket-booking process for High Speed Rail (HSR) system. The ticket-booking process of each OD pair can be partition into discrete booking phases by the times when the tickets of any itinerary had sold out. The ticket booking volume of each itinerary is reversely assigned to its corresponding expected departure intervals to obtain the time-varying demand in each booking phase using the rooftop model, and the total time-varying demand are estimated by summing the time-varying demand distributions in all booking phases. Only with the data about the itinerary flow, the precedence relationship is introduced to constrain the ticket sold-out order of all itineraries for each OD pair. Based on the precedence relationships of itineraries, two typical situations are proposed, in which the Single Booking Phase Reverse Assignment (SBPRA) algorithm and the Multiple Booking Phases Reverse Assignment (MBPRA) algorithm are proposed to estimate the time-varying demand respectively. Case analysis on OD pair Beijing-Shanghai are presented, and the validity analysis demonstrates that the error rates of SBPRA algorithm and MBPRA algorithm are 8.64% and 6.37%, respectively.

Analysis on the Main Factors Influencing the High-Speed Railway Passenger Flow

2014 ◽  
Vol 919-921 ◽  
pp. 1085-1090
Author(s):  
Yuan Huang ◽  
He Song ◽  
Chun Yan Jia
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Service Level ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Factors Affecting ◽  
Passenger Flow ◽  
Survey Statistics ◽  
Main Factors ◽  
The Times

With the rapid development of our national economy, the fast process of city, regional passenger demand is increasing rapidly, high-speed railway emerging as the times requiring. High-speed railway has many advantages in essence and also some disadvantages. How to use its advantages, how to avoid their disadvantages, is important for the advantageous to improve the interests of the company on high speed railway transport department and railway sector, as well as the social development. Through the way of questionnaire survey, statistics and analyzes the main factors affecting the High-speed Rail passenger flow, provides more active mode of operation for the High-speed Rail department. This paper raised the urgent and realistic basis to improve the service level.

scholarly journals A Line Planning Approach for High-Speed Rail Networks with Time-Dependent Demand and Capacity Constraints

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Huanyin Su ◽  
Wencong Tao ◽  
Xinlei Hu
Keyword(s):  
High Speed ◽  
Simulated Annealing Algorithm ◽  
Capacity Constraints ◽  
Time Dependent ◽  
High Speed Rail ◽  
Line Planning ◽  
Planning Approach ◽  
Upper Level ◽  
Varying Demand ◽  
Dependent Demand

In high-speed rail networks, trains are operated with high speeds and high frequencies, which can satisfy passenger demand with different expected departure times. Given time-dependent demand, this paper proposes a line planning approach with capacity constraints for high-speed rail networks. In this paper, a bilevel optimization model is formulated and the constraints include track section capacity per unit time, train seat capacity, and the gap between the number of starting trains and that of ending trains at a station. In the upper level, the objective is to minimize train operational cost and passenger travel cost, and the decision variables include the line of each train, carriage composition of each train, train stop patterns, train start times, and train arrival and departure times at stops in the line plan. In the lower level, a schedule-based passenger assignment method, which assigns time-varying demand on trains with seat capacity constraints by simulating the ticket-booking process, is used to evaluate the line plan obtained in the upper level. A simulated annealing algorithm is developed to solve the model in which some strategies are designed to search for neighborhood solutions, including reducing train carriages, deleting trains, adding trains, increasing train carriages, and adjusting train start times. Finally, an application to the Chinese high-speed rail network is presented. The numerical results show that (i) the average time deviations between the expected departure times and the actual boarding times of passengers are within 30 min, (ii) the unserved passengers are less than 200, and (iii) the average load factors of trains are about 70%. Hence, line plan solutions meet time-dependent demand well and satisfy the capacity constraints for high-speed rail networks.

An Energy Saving Train Operation Control Model Based on Time-Space Network Formulation

2013 ◽  
Vol 711 ◽  
pp. 562-565
Author(s):  
Hui Hu
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
Total Energy Consumption ◽  
Weighting Method ◽  
High Speed Rail ◽  
Space Network ◽  
Passenger Demand ◽  
Time Space ◽  
Train Operation ◽  
Rail Line

From operation management strategy perspective, a multi-objective time-space network optimization model of train energy consumption on a high speed rail line is proposed on the basis of train time table predetermined. The models objectives are to minimize circulation of rail stock and total energy consumption, and decision variables are number of train units in stations, while constraints include node flow conservation, passenger demand and capacity limitation. Finally, a simulation case is provided and solved for comparison and an optimization analysis is carried on via weighting method to illustrate the models feasibility and effectiveness.

scholarly journals Method for Forecasting Fluctuation in Railway Passenger Demand for High-speed Rail Services

2018 ◽  
Vol 59 (3) ◽  
pp. 194-200
Author(s):  
Ryosuke MATSUMOTO ◽  
Daiki OKUDA ◽  
Noriko FUKASAWA
Keyword(s):  
High Speed ◽  
High Speed Rail ◽  
B Method ◽  
Passenger Demand ◽  
Railway Passenger ◽  
Rail Services

Stability of a Flexible Wheelset for High Speed Rail Vehicles With Constant and Varying Parameters

1998 ◽  
Vol 120 (4) ◽  
pp. 997-1002 ◽  
Author(s):  
J. Lieh ◽  
J. Yin
Keyword(s):  
High Speed ◽  
State Transition ◽  
Time Varying ◽  
Vehicle Dynamic ◽  
High Speed Rail ◽  
Rail Vehicles ◽  
Flexible Wheelset ◽  
The Stability ◽  
Time Varying Models ◽  
Stability Concept

The stability of an elastic wheelset coupled with torsional spring and damper is studied in this paper. With flexible elements between two wheels, the advantages of both rigid and independently rotating wheel systems may be obtained. Previous investigations indicated that axle flexibility will affect the vehicle dynamic behavior and an optimal design may improve the system performance. Those studies were limited to constant wheel/rail geometry as the wheelset rolls along the track. In this paper, it is intended to determine the critical speed regions for both constant and time-varying models. The variation in conicity is assumed to be periodic thus the Floquet stability concept may be employed. The computation of the state-transition matrix is based on a Runge-Kutta algorithm.

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