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Article
Engineering, Civil
Wanneng Shu et al.
Summary: Customized bus, based on passenger demand, is an effective solution to address the issue of bus services in low travel density areas and promote the development of emerging bus systems. This study proposes a novel planning method for customized bus lines and stations that is completely based on passenger travel demand. Simulation experiments validate the effectiveness of the proposed method in meeting diverse passenger travel needs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Maxim A. Dulebenets
Summary: Ocean-going ships transport a significant amount of goods globally. This study proposes a new type of collaborative agreement to help shipping lines and marine terminal operators meet emission reduction targets. By developing a mathematical model and optimization method, a balance between economic and environmental perspectives can be achieved, facilitating effective implementation of collaborative agreements.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Yunlin Guan et al.
Summary: This paper proposes a customized bus service mode and a routing optimization model to alleviate traffic congestion and improve the attractiveness of public transportation. Experimental results of the algorithm show that the model can provide better route plans and timetables, adapt to different travel demands, and improve the convenience for passengers.
Article
Mathematics
Mohammad Asghari et al.
Summary: This study provides a detailed review and analysis of transformation and linearization techniques for solving optimization models with non-linear terms. The researchers propose a new technique for linearizing square root terms using transformation, and provide a comprehensive classification and evaluation of existing transformation methods. The outcomes of this study are anticipated to provide important guidance to researchers and practitioners working with non-linear optimization models.
Article
Computer Science, Artificial Intelligence
Junayed Pasha et al.
Summary: This study examines the decisions of vehicle selection and supply chain optimization in factory-in-a-box manufacturing and presents a multi-objective optimization model and solution method. A case study shows that the developed method outperforms traditional optimization methods and other metaheuristics.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Asghari et al.
Summary: This study uses computational methods to quantify carpooling behavior and proposes a resolution algorithm based on ant colony optimization. The results show that the algorithm is effective in solving multi-objective mathematical models and can provide reference for designing incentive schemes and information campaigns.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Computer Science, Information Systems
Dong Xia et al.
Summary: This article designs customized buses for private cars using electronic registration identification (ERI) data. By mining the spatial-temporal and high-frequency characteristics of commuting trips, the article proposes methods for discovering private car commuters and designing customized bus schemes, and verifies their superior performance in solving urban traffic congestion and environmental problems through experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Industrial
Jiaguo Liu et al.
Summary: Customized bus service as an innovative model in China's public transport system influences customers' variety-seeking behavior and choices, with different impacts on passenger numbers and social welfare in various stages, adjustment of service level can enhance social welfare.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Management
Yanan Li et al.
Summary: This study examines the optimal pricing problem for customized bus services and ride-sharing, finding that passengers' subjective value of time and transport mode prices play crucial roles in their mode choice. Profits are positively correlated with the proportion of platform-owned vehicles, and simulation results closely match numerical results.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Transportation
Xueping Dou et al.
Summary: This study addresses a customized bus service design problem considering travel demand uncertainty, proposing a model for generating profitable bus services in uncertain environments and solving decision-making problems.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2021)
Article
Operations Research & Management Science
Enoch Lee et al.
Summary: By considering spatial and volume stochastic variations of passenger demands, a zonal-based flexible bus service (ZBFBS) is developed with a two-stage stochastic program to minimize operating costs. Reliability requirements are introduced to ensure service quality and the problem is separated into two phases for efficient solutions.
TRANSPORTATION SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Xi Chen et al.
Summary: Customized buses provide a cost-effective choice for passengers and help alleviate urban traffic congestion.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Civil
Changxi Ma et al.
Summary: A three-stage hybrid coding method based on NSGA-II algorithm was proposed to deal with customized bus route optimization under uncertain condition, which not only shows better solution results compared to other methods, but also saves computing time.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Rongge Guo et al.
Summary: Urban customized bus companies are driven by design efforts to create more efficient route scenarios that can adapt to diverse travel demands, but face challenges such as traffic congestion causing delays. To address this issue, a time-dependent bus route planning methodology is proposed, which explicitly considers path flexibility between nodes. By using a mixed-integer programming model and a hybrid metaheuristic approach, satisfactory performance has been observed in a small-scale example.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Xi Chen et al.
Summary: The study developed an integrated optimization method for customized bus service planning, aiming to balance passenger accessibility and operating cost by introducing inconveniences index and total stop numbers as objectives. Through numerical experiments and real-world instances, the proposed method was shown to provide efficient services for the CB system.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Transportation Science & Technology
Andres Fielbaum et al.
Summary: Researchers have designed a new shared vehicle system where passengers may be required to walk to nearby pickup/drop-off points, effectively reducing rejection rates and vehicle-hours traveled. They found that users departing or arriving in the most demanded areas are more likely to be asked to walk.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Enoch Lee et al.
Summary: This study investigates the use of flexible buses to reduce urban congestion by providing door-to-door service with multiple passengers sharing vehicles. The solution approach combines gradient-based and greedy search approaches to maximize profits while accounting for detour time costs. By introducing reliability measures for demand volume and detour time, the solution effectively optimizes flexible bus routing plans. Promising results were achieved using real data in Chengdu, China.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Economics
Manlin Gong et al.
Summary: Customized bus (CB) network design should consider passenger-route assignment and transfer operation, while utilizing modular vehicles; the customized PSO algorithm efficiently provides high-quality near-optimal solutions, outperforming other algorithms; lower costs, higher service quality, with more significant benefits as passenger demand grows.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Industrial
Miao Yu et al.
Article
Transportation Science & Technology
Di Huang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Industrial
Navid Matin-Moghaddam et al.
Article
Transportation Science & Technology
Jiangbo Wang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Transportation Science & Technology
Yan Lyu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Economics
Myungseob (Edward) Kim et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2019)
Article
Computer Science, Interdisciplinary Applications
Claudio Gambella et al.
INFORMS JOURNAL ON COMPUTING
(2018)
Article
Transportation Science & Technology
Lu (Carol) Tong et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2017)
Review
Management
Niels Agatz et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2012)
Article
Engineering, Civil
Jeannette Montufar et al.
TRANSPORTATION RESEARCH RECORD
(2007)
