Maximizing Network Utility While Considering Proportional Fairness for Public Transit Systems: Jointly Optimizing Passenger Allocation and Vehicle Schedules

[1]  Y. Bai,et al.  Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers , 2021, Modern Physics Letters B.

[2]  Lucas P. Veelenturf,et al.  An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs , 2021, Transportation Research Part B: Methodological.

[3]  Yu Jiang,et al.  Incorporating personalization and bounded rationality into stochastic transit assignment model , 2021 .

[4]  David Z.W. Wang,et al.  Autonomous and conventional bus fleet optimization for fixed-route operations considering demand uncertainty , 2020, Transportation.

[5]  S. Hoogendoorn,et al.  Impacts of replacing a fixed public transport line by a demand responsive transport system: Case study of a rural area in Amsterdam , 2020, Research in Transportation Economics.

[6]  Lixing Yang,et al.  Collaborative passenger flow control on an oversaturated metro line: a path choice approach , 2020 .

[7]  Dewei Li,et al.  Robust and optimized urban rail timetabling using a marshaling plan and skip-stop operation , 2020 .

[8]  Jun Liu,et al.  Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study , 2019 .

[9]  Xiufeng Yang,et al.  Effects of a comprehensive reservation service for non-emergency registration on appointment registration rate, patient waiting time, patient satisfaction and outpatient volume in a tertiary hospital in China , 2019, BMC Health Services Research.

[10]  Lixing Yang,et al.  Cooperative passenger flow control in an oversaturated metro network with operational risk thresholds , 2019, Transportation Research Part C: Emerging Technologies.

[11]  Pan Shang,et al.  Timetable Synchronization and Optimization Considering Time-Dependent Passenger Demand in an Urban Subway Network , 2018 .

[12]  Ziyou Gao,et al.  Joint optimal train regulation and passenger flow control strategy for high-frequency metro lines , 2017 .

[13]  Haiying Li,et al.  Metro passenger flow control with station-to-station cooperation based on stop-skipping and boarding limiting , 2017 .

[14]  Chandra R. Bhat,et al.  The Impacts of an Incentive-Based Intervention on Peak Period Traffic: Experience from the Netherlands , 2016 .

[15]  Omar J. Ibarra-Rojas,et al.  Planning, operation, and control of bus transport systems: A literature review , 2015 .

[16]  Lei Zhu,et al.  Behavior Insights for an Incentive-Based Active Demand Management Platform , 2015 .

[17]  Rodrigo Fernandez,et al.  Pedestrian traffic management of boarding and alighting in metro stations , 2015 .

[18]  Stephan Winter,et al.  Simulating Demand-responsive Transportation: A Review of Agent-based Approaches , 2015 .

[19]  Hani S. Mahmassani,et al.  Integrated Frequency Allocation and User Assignment in Multimodal Transit Networks , 2015 .

[20]  Hai Yang,et al.  The Downs–Thomson Paradox with responsive transit service , 2014 .

[21]  S. Managi,et al.  How does commuting behavior change due to incentives? An empirical study of the Beijing Subway System , 2014, Transportation Research Part F: Traffic Psychology and Behaviour.

[22]  Ricardo Giesen,et al.  How much can holding and/or limiting boarding improve transit performance? , 2012 .

[23]  Claudio Cubillos,et al.  Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation , 2008, Canadian Conference on AI.

[24]  R. Srikant,et al.  Network Optimization and Control , 2008, Found. Trends Netw..

[25]  Priyank Kalla,et al.  Taylor Expansion Diagrams: A Canonical Representation for Verification of Data Flow Designs , 2006, IEEE Transactions on Computers.

[26]  Rayadurgam Srikant,et al.  The Mathematics of Internet Congestion Control , 2003 .

[27]  Mark E. T. Horn,et al.  Fleet scheduling and dispatching for demand-responsive passenger services , 2002 .

[28]  G. F. Newell.  Dispatching Policies for a Transportation Route , 1971 .

[29]  Wanneng Shu,et al.  A Novel Demand-Responsive Customized Bus Based on Improved Ant Colony Optimization and Clustering Algorithms , 2023, IEEE Transactions on Intelligent Transportation Systems.

[30]  Jiamin Zhang,et al.  Agent-Based Optimizing Match Between Passenger Demand and Service Supply for Urban Rail Transit Network With NetLogo , 2021, IEEE Access.

[31]  Lixing Yang,et al.  Collaborative optimization for metro train scheduling and train connections combined with passenger flow control strategy , 2020 .

[32]  Nigel H. M. Wilson,et al.  Real-time holding control for high-frequency transit with dynamics , 2016 .

[33]  Gerard Whelan,et al.  Modelling the impact of alternative fare structures on train overcrowding , 2004 .

[34]  Frank Kelly,et al.  Charging and rate control for elastic traffic , 1997, Eur. Trans. Telecommun..

[35]  S R Jara-Diaz,et al.  ALTERNATIVE PRICING SCHEMES FOR THE SANTIAGO UNDERGROUND SYSTEM. PUBLIC TRANSPORT PLANNING AND OPERATION: PROCEEDINGS OF SEMINAR L HELD AT THE PTRC 14TH SUMMER ANNUAL MEETING, UNIVERSITY OF SUSSEX, ENGLAND, 14-17 JULY , 1986 .

[36]  J. A. Ward.  The down-hill method of solving a polynomial equation , 1956, ACM '56.