Optimization Model of Passenger Train Service Plan Based on the Degree of Passenger Satisfaction

2014 ◽  
Vol 505-506 ◽  
pp. 577-582 ◽  
Author(s):  
Pei Liu ◽  
Bao Ming Han ◽  
Qi Zhang
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Transportation Costs ◽  
High Speed Rail ◽  
Passenger Train ◽  
Railway Line ◽  
Passenger Transportation ◽  
Passenger Satisfaction ◽  
Service Plan ◽  
Transportation Organization

The passenger train service plan which is the basis of passenger transportation organization shows how to organize passenger flow into train flow. The degree of passenger satisfaction reflects the difference between perceived service and expected service. Due to the deficiency of transportation supply, a minority of passengers have to take their "originally reluctant" trains instead of "preferred" trains. This paper firstly analyses extra passenger transportation costs in high-speed rail line. Secondly, a multiobjective optimization model of passenger train service plan based on the degree of passenger satisfaction is proposed, in which minimizing the total passenger train stop times and minimizing the extra passenger transportation costs are the two planning objectives. Finally, a case study on the Beijing-Tianjin intercity railway line shows that the model can be solved by the genetic algorithm and can achieve satisfactory results.

scholarly journals A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Li Wang ◽  
Yong Qin ◽  
Jie Xu ◽  
Limin Jia
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Fuzzy Optimization ◽  
Soft Constraints ◽  
Accurate Approximation ◽  
Total Delay ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Tolerance Approach ◽  
Rail Line

A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.

scholarly journals Combinatorial Optimization of Service Order and Overtaking for Demand-Oriented Timetabling in a Single Railway Line

2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Dewei Li ◽  
Shishun Ding ◽  
Yizhen Wang
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Cost Benefit ◽  
Theory And Practice ◽  
Mixed Integer ◽  
High Speed Rail ◽  
Railway Line ◽  
Integer Quadratic Programming ◽  
Total Travel Time ◽  
Mixed Integer Quadratic Programming

Train timetabling is crucial for passenger railway operation. Demand-oriented train timetable optimization by minimizing travel time plays an important role in both theory and practice. Most of the current researches of demand-oriented timetable models assume an idealized situation in which the service order is fixed and in which zero overtaking exists between trains. In order to extend the literature, this paper discusses the combinatorial effect of service order and overtaking by developing four mixed-integer quadratic programming timetabling models with different service order as well as overtaking conditions. With the objective of minimizing passengers’ waiting time and in-vehicle time, the models take five aspects as constraints, namely dwell time, running time, safety interval, overtaking, and capacity. All four models are solved by ILOG CPLEX; and the results, which are based on Shanghai-Hangzhou intercity high-speed rail data, show that either allowing overtaking or changing service order can effectively optimize the quality of timetable with respect to reducing the total passengers’ travel time. Although optimizing train overtaking and service order simultaneously can optimize the timetable more significantly, compared to overtaking, allowing the change of service order can help passengers save total travel time without extending the train travel time. Moreover, considering the computation effort, satisfying both of the conditions in the meantime, when optimizing timetable has not got a good cost benefit.

A two-layer optimization model for high-speed railway line planning

2011 ◽  
Vol 12 (12) ◽  
pp. 902-912 ◽  
Author(s):  
Li Wang ◽  
Li-min Jia ◽  
Yong Qin ◽  
Jie Xu ◽  
Wen-ting Mo
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Line Planning ◽  
High Speed Railway ◽  
Railway Line

scholarly journals THE IMPLEMENTATION OF NEW CARRIAGE TECHNOLOGIES IN THE LITHUANIAN RAILWAY TRANSPORT AND ESTABLISHMENT OF THE PROSPECTIVE MARKETS FOR RAILWAY AND ROAD TRANSPORT

Transport ◽  
2003 ◽  
Vol 18 (4) ◽  
pp. 168-173
Author(s):  
Jonas Butkevičius
Keyword(s):  
Public Transport ◽  
High Speed ◽  
New Technologies ◽  
Road Transport ◽  
Light Transport ◽  
Railway Transport ◽  
High Speed Railway ◽  
Railway Line ◽  
Passenger Transportation

This article provides the analysis of the possibilities to instal new technologies in the Lithuanian railways the building of a high speed railway line I in Kreta corridor. It is advisable to project this line as a mixed one, i.e. intended for both passenger and goods traffic. The research carried out by the author has shown that light transport dominates in passenger transportation among four cities of Lithuania Vilnius, Kaunas, Klaipeda and Siauliai, which transports even 81,3% of direct passengers. Buses carry 14,9% and only 3,8 % of passengers are carried by railway transport. Therefore the main problem public transport is facing is to“get the passengers back” from light transport means, i.e. cars. The prospective railway and road transport markets in local, intercity and international passengers' transportations are also established in this work.

scholarly journals A Benders Decomposition Algorithm for the Passenger Train Service Planning

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Song Pu
Keyword(s):  
High Speed ◽  
Benders Decomposition ◽  
Valid Inequalities ◽  
Service Planning ◽  
Decomposition Algorithm ◽  
Passenger Train ◽  
Railway Line ◽  
Passenger Demand ◽  
Benders Decomposition Algorithm ◽  
Passenger Assignment

Railway transport becomes a more popular transportation in many countries due to its large transport capacity, low energy consumption, and benign environment. The passenger train service planning is the key of the rail operations system to balance the transport service and the passenger demand. In this paper, we propose a mixed binary linear programming formulation for the passenger train service planning to optimize the train route, frequency, stop schedule, and passenger assignment simultaneously. In addition, we analyze the computational complexities of the model and develop a Benders decomposition algorithm with valid inequalities to solve this problem. Finally, our model and algorithm are tested on a real-world instance of the Beijing-Shanghai high-speed railway line. The computational results show that our approach can solve these problems within reasonable solution time and small optimality gaps (less than 2.5%).

High-speed rail cost recovery time based on an integer optimization model

2014 ◽  
Vol 49 (5) ◽  
pp. 634-647 ◽  
Author(s):  
Shoupeng Tang ◽  
Stephen D. Boyles ◽  
Nan Jiang
Keyword(s):  
Optimization Model ◽  
Recovery Time ◽  
High Speed ◽  
Cost Recovery ◽  
Integer Optimization ◽  
High Speed Rail
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