Dynamic passenger demand-oriented train scheduling optimization considering flexible short-turning strategy
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[1] Pan Shang,et al. Timetable Synchronization and Optimization Considering Time-Dependent Passenger Demand in an Urban Subway Network , 2018 .
[2] Umberto Crisalli,et al. A schedule-based assignment model with explicit capacity constraints for congested transit networks , 2012 .
[3] Erik Jenelius,et al. Real-time short-turning in high frequency bus services based on passenger cost , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).
[4] Xueping Gao,et al. Similarity Theory of Withdrawn Water Temperature Experiment , 2015, TheScientificWorldJournal.
[5] Juan A. Mesa,et al. Effective Allocation of Fleet Frequencies by Reducing Intermediate Stops and Short Turning in Transit Systems , 2009, Robust and Online Large-Scale Optimization.
[6] Avishai Ceder,et al. DESIGNING TRANSIT SHORT-TURN TRIPS WITH THE ELIMINATION OF IMBALANCED LOADS. FROM THE BOOK COMPUTER-AIDED TRANSIT SCHEDULING , 1988 .
[7] Rob M.P. Goverde,et al. A microscopic model for optimal train short-turnings during complete blockages , 2017 .
[8] Avishai Ceder,et al. Optimal coordination of public transit vehicles using operational tactics examined by simulation , 2008 .
[9] Kay W. Axhausen,et al. Demand-driven timetable design for metro services , 2014 .
[10] Lucas P. Veelenturf,et al. An overview of recovery models and algorithms for real-time railway rescheduling , 2014 .
[11] Rui Song,et al. High-Speed Rail Train Timetabling Problem: A Time-Space Network Based Method with an Improved Branch-and-Price Algorithm , 2014 .
[12] Lucas P. Veelenturf,et al. Real-time high-speed train rescheduling in case of a complete blockage , 2015 .
[13] Yong Wang,et al. Evaluating the Impacts of Bus Stop Design and Bus Dwelling on Operations of Multitype Road Users , 2018, Journal of Advanced Transportation.
[14] Xin Zhang,et al. Integrating capacity analysis with high-speed railway timetabling: A minimum cycle time calculation model with flexible overtaking constraints and intelligent enumeration , 2016 .
[15] Kai Lu,et al. Smart Urban Transit Systems: From Integrated Framework to Interdisciplinary Perspective , 2018 .
[16] Pan Shang,et al. Equity-oriented skip-stopping schedule optimization in an oversaturated urban rail transit network , 2018 .
[17] Siriphong Lawphongpanich,et al. Schedule-based transit assignment model with travel strategies and capacity constraints , 2008 .
[18] Rob M.P. Goverde,et al. Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions , 2019, Transportation Research Part B: Methodological.
[19] Omar J. Ibarra-Rojas,et al. Planning, operation, and control of bus transport systems: A literature review , 2015 .
[20] Gilbert Laporte,et al. A short-turning policy for the management of demand disruptions in rapid transit systems , 2016, Ann. Oper. Res..
[21] Umberto Crisalli,et al. A Doubly Dynamic Schedule-based Assignment Model for Transit Networks , 2001, Transp. Sci..
[22] Alejandro Tirachini,et al. Disaggregate Modeling of Preplanned Short-Turning Strategies in Transit Corridors , 2007 .
[23] Shing Chung Josh Wong,et al. A schedule-based dynamic transit network model - Recent advances and prospective future research , 2001 .
[24] Paolo Delle Site,et al. Service optimization for bus corridors with short-turn strategies and variable vehicle size , 1998 .
[25] David Canca,et al. A methodology for schedule‐based paths recommendation in multimodal public transportation networks , 2013 .
[26] Huijun Sun,et al. Modeling the first train timetabling problem with minimal missed trains and synchronization time differences in subway networks , 2016 .
[27] Federico Malucelli,et al. A Modeling Framework for Passenger Assignment on a Transport Network with Timetables , 1998, Transp. Sci..
[28] Jiangtao Liu,et al. Capacitated transit service network design with boundedly rational agents , 2016 .
[29] Xuesong Zhou,et al. Demand-Driven Train Schedule Synchronization for High-Speed Rail Lines , 2015, IEEE Transactions on Intelligent Transportation Systems.
[30] Xuesong Zhou,et al. Optimizing urban rail timetable under time-dependent demand and oversaturated conditions , 2013 .
[31] Ziyou Gao,et al. A case study on the coordination of last trains for the Beijing subway network , 2015 .
[32] Xuesong Zhou,et al. Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks , 2017 .
[33] Paolo Toth,et al. A Survey of Optimization Models for Train Routing and Scheduling , 1998, Transp. Sci..
[34] Ziyou Gao,et al. Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches , 2017 .
[35] Leena Suhl,et al. A Time-Space Network Approach for the Integrated Vehicle- and Crew-Scheduling Problem with Multiple Depots , 2010, Transp. Sci..
[36] Siriphong Lawphongpanich,et al. Congestion Pricing for Schedule-Based Transit Networks , 2010, Transp. Sci..
[37] Dennis Huisman,et al. The New Dutch Timetable: The OR Revolution , 2008, Interfaces.
[38] Leo Kroon,et al. A rolling horizon approach to the high speed train rescheduling problem in case of a partial segment blockage , 2016 .
[39] Ton J.J. van den Boom,et al. Passenger-demands-oriented train scheduling for an urban rail transit network , 2015 .
[40] Weiteng Zhou,et al. Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints , 2015, TheScientificWorldJournal.
[41] Zhong-Ren Peng,et al. Schedule-Based Path-Finding Algorithms for Transit Trip-Planning Systems , 2002 .
[42] Alejandro Tirachini,et al. Optimal design and benefits of a short turning strategy for a bus corridor , 2011 .
[43] S. C. Wirasinghe,et al. Optimum zone structure during peak periods for existing urban rail lines , 1986 .
[44] Ziyou Gao,et al. Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach , 2016 .
[45] Gilbert Laporte,et al. Single-line rail rapid transit timetabling under dynamic passenger demand , 2014 .
[46] Xiaobo Liu,et al. Minimizing Metro Transfer Waiting Time with AFCS Data Using Simulated Annealing with Parallel Computing , 2018 .
[47] Ziyou Gao,et al. Equity-based timetable synchronization optimization in urban subway network , 2015 .
[48] James H. Banks,et al. Optimal headways for multiroute transit systems , 1990 .
[49] Tao Tang,et al. Integrated optimization of regular train schedule and train circulation plan for urban rail transit lines , 2017 .
[50] Meiyu Liu,et al. Exploring the Impact of Differentiated Per-Lane Speed Limits on Traffic Safety of Freeways with Considering the Compliance Rate , 2018 .
[51] Peter G Furth. SHORT TURNING ON TRANSIT ROUTES , 1987 .
[52] Shifeng Wang,et al. Integrated Train Timetabling and Rolling Stock Scheduling Model Based on Time‐Dependent Demand for Urban Rail Transit , 2017, Comput. Aided Civ. Infrastructure Eng..
[53] Wei Zhang,et al. Agent or Borrower? An Incentive of Moral Hazard with China Commercial Guarantee Company , 2014 .
[54] David Canca,et al. Design and analysis of demand-adapted railway timetables , 2013 .
[55] Tao Tang,et al. A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4 , 2018, Journal of Advanced Transportation.
[56] Xuesong Zhou,et al. Train scheduling for minimizing passenger waiting time with time-dependent demand and skip-stop patterns: Nonlinear integer programming models with linear constraints , 2015 .
[57] Pan Shang,et al. Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach , 2019, Transportation Research Part B: Methodological.
[58] Shing Chung Josh Wong,et al. A dynamic schedule-based model for congested transit networks , 2004 .
[59] Hao Wang,et al. Simulation Study on Train-Induced Vibration Control of a Long-Span Steel Truss Girder Bridge by Tuned Mass Dampers , 2014 .
[60] Gilbert Laporte,et al. Exact formulations and algorithm for the train timetabling problem with dynamic demand , 2014, Comput. Oper. Res..
[61] Steven Harrod,et al. Modeling Network Transition Constraints with Hypergraphs , 2011, Transp. Sci..
[62] Avishai Ceder,et al. OPTIMAL DESIGN OF TRANSIT SHORT-TURN TRIPS , 1989 .
[63] Shing Chung Josh Wong,et al. A stochastic transit assignment model using a dynamic schedule-based network , 1999 .
[64] Catherine Morency,et al. Smart card data use in public transit: A literature review , 2011 .
[65] Rolf H. Möhring,et al. The Modeling Power of the Periodic Event Scheduling Problem: Railway Timetables - and Beyond , 2004, ATMOS.