Article
Management
Yongji Luo, Shoushuai Zhang, Haifeng Yan, Feng Xue
Summary: This paper proposes a new nesting control method applicable to railways, which allows capacity nesting across different fare classes and origin-destination pairs, overcoming the limitations of existing railway booking-limit controls.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Keyvan Kamandanipour, Siamak Haji Yakhchali, Reza Tavakkoli-Moghaddam
Summary: This study proposes an intelligent decision support system by integrating dynamic pricing, fleet management, and capacity allocation for passenger rail service providers, aiming to improve their profitability. Travel demand and price-sale relations are quantified based on historical sales data. A mixed-integer non-linear programming model is presented to maximize the company's profit considering various cost types in a multi-train multi-class multi-fare passenger rail transportation network. A fix-and-relax heuristic algorithm is applied for large-scale problems. Real numerical cases show that the proposed model has a high potential to improve total profit compared to current sales policies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Economics
Guangming Xu, Linhuan Zhong, Xinlei Hu, Wei Liu
Summary: This paper examines the optimal pricing and seat allocation problem in passenger railway systems. By formulating a non-concave and non-linear model, the problem is transformed into a linear model to maximize the railway ticket revenue. Two numerical examples are presented to validate the proposed method.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Mathematics
Mahdi Rezapour, Khaled Ksaibati
Summary: There is a growing interest in implementing mixed models to account for heterogeneity across population observations. However, the assumption of independent and identically distributed error terms might not be realistic, and there may be variations in error term scales across observations. Extending the model to allow for scale heterogeneity might not necessarily lead to an improvement in model fit, as shown in this study.
Article
Computer Science, Interdisciplinary Applications
Guangming Xu, Linhuan Zhong, Runfa Wu, Xinlei Hu, Jing Guo
Summary: This paper investigates the train capacity allocation problem for the mixed transportation pattern of passenger and freight in high-speed railway (HSR) system. It proposes a general model considering passenger priority and freight loading/unloading capacity, and develops linear programming and non-linear programming models for deterministic and stochastic demand scenarios respectively. The effectiveness of the proposed methods is demonstrated through numerical experiments of different scales.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
M. Croci, K. E. Willcox, S. J. Wright
Summary: This paper extends MLBLUE method to multi-output forward UQ problems and presents new semidefinite programming formulations for their optimal setup. These formulations yield the optimal number of samples required and the optimal selection of low-fidelity models to use. The new multi-output formulations can be solved reliably and efficiently.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Transportation Science & Technology
Yiwen Zhu, Haris N. Koutsopoulos, Nigel H. M. Wilson
Summary: The paper presents a data-driven model, PIIM, for inferring passenger itineraries in urban heavy rail systems, which can assess the impact of near capacity operations on customers, evaluate system performance, and understand passenger behavior when choosing alternative routes. Through multiple modules, the model accurately predicts passenger itineraries, left behind probabilities, route choice fractions, and other performance metrics.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
Qian Bian, Liying Song
Summary: This paper develops an optimization model to address the dynamic multileg capacity control problem for airlines, taking into account competition from high-speed rail. The proposed model considers semi-independent passenger demand and enables airlines to maximize revenue by controlling the sales process. A deterministic linear programming method is used as a model solution, and numerical experiments are conducted to validate the model's effectiveness.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Economics
Zhujun Li, Amer Shalaby, Matthew J. Roorda, Baohua Mao
Summary: This paper presents an operational strategy using urban rail transit for freight transport, analyzing an environmentally friendly urban freight transportation alternative and supporting collaborative transportation of passengers and freight through optimization techniques. The technical feasibility of this transportation scheme is tested through practical cases.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Civil
Lianbo Deng, Jing Xu, Ningxin Zeng, Xinlei Hu
Summary: This paper studies the multistage pricing and seat allocation problems for multiple train services in a high-speed railway, establishes a joint optimization model, and designs an effective solution method based on a divide-and-conquer strategy.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Management
Feng Zhu, Shaoxuan Liu, Rowan Wang, Zizhuo Wangd
Summary: This study addresses the revenue management problem in selling high-speed train tickets in China, where a unique feature is the assign-to-seat restriction. The authors propose a modified network revenue management model and develop efficient approximation algorithms to solve the problem. They also introduce a bid-price control policy based on a maximal sequence principle, which improves the accuracy of the value function approximation. Numerical experiments demonstrate the effectiveness of the proposed policies in resource-allocation efficiency.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Water Resources
S. Jamshid Mousavi, Kumaraswamy Ponnambalam, Alcigeimes B. Celeste, Ximing Cai
Summary: The paper introduces a new implementation method named FP-2022, which significantly reduces solving time by simplifying constraints and decreasing decision variables. It incorporates new expressions to improve optimality for a nonlinear objective function. The method is proven to be highly efficient and optimal through the optimization problem of a dam in Brazil and a five-reservoir system in India.
ADVANCES IN WATER RESOURCES
(2022)
Article
Management
Jinpeng Liang, Guangzhi Zang, Haitao Liu, Jianfeng Zheng, Ziyou Gao
Summary: Oversaturation during peak hours poses severe challenges for metro operations management in megacities, affecting passengers' service experience and safety at congested platforms. This paper focuses on designing an online passenger flow control policy using stochastic dynamic programming to minimize the total passenger waiting time. The results from numerical experiments using realistic transit data demonstrate significant reductions in passenger waiting time and alleviated station congestion compared to the first-come-first-serve policy. The reusable nature of train capacity is exploited to transport more passengers during rush hours.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Paat Rusmevichientong, Mika Sumida, Huseyin Topaloglu, Yicheng Bai
Summary: In this study, we investigate revenue management problems with heterogeneous resources of unit capacity. We aim to find a policy that offers assortments of resources to customers in order to maximize total expected revenue over a finite selling horizon. The unique feature of this problem is the combination of distinct resources with unit capacity and customer preferences for consecutive days of resource usage.
OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Sebastian Birolini, Alexandre Jacquillat, Phillip Schmedeman, Nuno Ribeiro
Summary: This paper introduces a passenger-centric approach to airport slot allocation, aiming to maximize available itineraries and minimize connecting times. By combining predictive analytics and prescriptive analytics, an optimization model is proposed and solved using a large-scale neighborhood search algorithm.
TRANSPORTATION SCIENCE
(2023)
Article
Automation & Control Systems
Xinchang Wang, Sigrun Andradottir, Hayriye Ayhan
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2015)
Article
Economics
Shuaian Wang, Xinchang Wang
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2016)
Article
Economics
Xinchang Wang
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2016)
Article
Economics
Xinchang Wang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2016)
Article
Economics
Xinchang Wang, Qiang Meng, Lixin Miao
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2016)
Article
Economics
Hua Wang, Xinchang Wang, Xiaoning Zhang
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2017)
Article
Economics
Xinchang Wang, Qiang Meng
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2017)
Article
Economics
Xinchang Wang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2017)
Article
Management
Xinchang Wang, Qiang Meng
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Public, Environmental & Occupational Health
Qiang Meng, Xiaobo Qu, Xinchang Wang, Vivi Yuanita, Siew Chee Wong
Article
Economics
Tingsong Wang, Xinchang Wang, Qiang Meng
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2018)
Article
Computer Science, Interdisciplinary Applications
Xinchang Wang, Sigrun Andradottir, Hayriye Ayhan
Article
Operations Research & Management Science
Xinchang Wang, Sigrun Andradottir, Hayriye Ayhan, Tonghoon Suk
NAVAL RESEARCH LOGISTICS
(2020)
Article
Engineering, Industrial
Tonghoon Suk, Xinchang Wang
