An adaptive route choice model for integrated fixed and flexible transit systems

References

• Alonso-González, María J., Niels van Oort, Oded Cats, Sascha Hoogendoorn-Lanser, and Serge Hoogendoorn. 2020. “Value of Time and Reliability for Urban Pooled on-demand Services.” Transportation Research Part C: Emerging Technologies 115:102621. https://doi.org/10.1016/j.trc.2020.102621.
   Web of Science ®Google Scholar
• Alonso-Mora, Javier, Samitha Samaranayake, Alex Wallar, Emilio Frazzoli, and Daniela Rus. 2017. “On-demand High-capacity Ride-sharing Via Dynamic Trip-vehicle Assignment.” Proceedings of the National Academy of Sciences 114 (3): 462–467. https://doi.org/10.1073/pnas.1611675114.
   PubMed Web of Science ®Google Scholar
• Archetti, Claudia, M. Grazia Speranza, and Dennis Weyland. 2017. “A Simulation Study of An on-demand Transportation System.” International Transactions in Operational Research 25 (4): 1137–1161. https://doi.org/10.1111/itor.2018.25.issue-4.
   Web of Science ®Google Scholar
• Atasoy, Bilge, Takuro Ikeda, Xiang Song, and Moshe E. Ben-Akiva. 2015. “The Concept and Impact Analysis of a Flexible Mobility on Demand System.” Transportation Research Part C: Emerging Technologies 56:373–392. https://doi.org/10.1016/j.trc.2015.04.009.
   Web of Science ®Google Scholar
• Balcombe, Richard, Roger Mackett, Neil Paulley, John Preston, Jeremy Shires, Helena Titheridge, Mark Wardman, and Peter White. 2004. “The Demand for Public Transport: A Practical Guide.” Technical Report TRL593. London, UK: TRL Limited.
   Google Scholar
• Berrada, Jaâfar, and Alexis Poulhès. 2021. “Economic and Socioeconomic Assessment of Replacing Conventional Public Transit with Demand Responsive Transit Services in Low-to-medium Density Areas.” Transportation Research Part A: Policy and Practice 150:317–334.
   Web of Science ®Google Scholar
• Bischoff, Joschka, and Michal Maciejewski. 2016. “Autonomous Taxicabs in Berlin – A Spatiotemporal Analysis of Service Performance.” Transportation Research Procedia 19:176–186. https://doi.org/10.1016/j.trpro.2016.12.078.
   Google Scholar
• Bogers, Enide A. I., Michel Bierlaire, and Serge P. Hoogendoorn. 2007. “Modeling Learning in Route Choice.” Transportation Research Record 2014 (1): 1–8. https://doi.org/10.3141/2014-01.
   Web of Science ®Google Scholar
• Bösch, Patrick M., Felix Becker, Henrik Becker, and Kay W. Axhausen. 2018. “Cost-based Analysis of Autonomous Mobility Services.” Transport Policy 64:76–91. https://doi.org/10.1016/j.tranpol.2017.09.005.
   Web of Science ®Google Scholar
• Burghout, Wilco. 2004. “Hybrid Microscopic-Mesoscopic Traffic Simulation.” PhD diss., KTH Royal Institute of Technology.
   Google Scholar
• Cats, Oded. 2011. “Dynamic Modelling of Transit Operations and Passenger Decisions.” PhD diss., KTH Royal Institute of Technology.
   Google Scholar
• Cats, Oded, and Erik Jenelius. 2015. “Planning for the Unexpected: The Value of Reserve Capacity for Public Transport Network Robustness.” Transportation Research Part A: Policy and Practice 81:47–61. Resilience of Networks
   Web of Science ®Google Scholar
• Cats, Oded, Haris N. Koutsopoulos, Wilco Burghout, and Tomer Toledo. 2011. “Effect of Real-Time Transit Information on Dynamic Path Choice of Passengers.” Transportation Research Record: Journal of the Transportation Research Board 2217 (1): 46–54. https://doi.org/10.3141/2217-06.
   Web of Science ®Google Scholar
• Cats, Oded, and Jens West. 2020. “Learning and Adaptation in Dynamic Transit Assignment Models for Congested Networks.” Transportation Research Record: Journal of the Transportation Research Board2674 (1): 113–124. https://doi.org/10.1177/0361198119900138.
   Web of Science ®Google Scholar
• Cats, Oded, Jens West, and Jonas Eliasson. 2016. “A Dynamic Stochastic Model for Evaluating Congestion and Crowding Effects in Transit Systems.” Transportation Research Part B: Methodological89:43–57. https://doi.org/10.1016/j.trb.2016.04.001.
   Web of Science ®Google Scholar
• Cebecauer, Matej, Wilco Burghout, Erik Jenelius, Tatiana Babicheva, and David Leffler. 2021. “Integrating Demand Responsive Services Into Public Transport Disruption Management.” IEEE Open Journal of Intelligent Transportation Systems 2:24–36. https://doi.org/10.1109/OJITS.2021.3057221.
   Google Scholar
• Chen, Cynthia, Jingtao Ma, Yusak Susilo, Yu Liu, and Menglin Wang. 2016. “The Promises of Big Data and Small Data for Travel Behavior (aka Human Mobility) Analysis.” Transportation Research Part C: Emerging Technologies 68:285–299. https://doi.org/10.1016/j.trc.2016.04.005.
   PubMed Web of Science ®Google Scholar
• Davison, Lisa, Marcus Enoch, Tim Ryley, Mohammed Quddus, and Chao Wang. 2012. “Identifying Potential Market Niches for Demand Responsive Transport.” Research in Transportation Business & Management 3:50–61. https://doi.org/10.1016/j.rtbm.2012.04.007.
   Google Scholar
• Dial, Robert B. 1971. “A Probabilistic Multipath Traffic Assignment Model which Obviates Path Enumeration.” Transportation Research 5 (2): 83–111. https://doi.org/10.1016/0041-1647(71)90012-8.
   Google Scholar
• Drabicki, Arkadiusz, Rafał Kucharski, Oded Cats, and Andrzej Szarata. 2021. “Modelling the Effects of Real-time Crowding Information in Urban Public Transport Systems.” Transportmetrica A: Transport Science 17 (4): 675–713. https://doi.org/10.1080/23249935.2020.1809547.
   Web of Science ®Google Scholar
• Dueker, Kenneth J., Thomas J. Kimpel, James G. Strathman, and Steve Callas. 2004. “Determinants of Bus Dwell Time.” Journal of Public Transportation 7 (1): 2. https://doi.org/10.5038/2375-0901.
   Google Scholar
• Errico, Fausto, Teodor Gabriel Crainic, Federico Malucelli, and Maddalena Nonato. 2013. “A Survey on Planning Semi-flexible Transit Systems: Methodological Issues and a Unifying Framework.” Transportation Research Part C: Emerging Technologies 36:324–338. https://doi.org/10.1016/j.trc.2013.08.010.
   Web of Science ®Google Scholar
• Fagnant, Daniel J., and Kara M. Kockelman. 2014. “The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-based Model Scenarios.” Transportation Research Part C: Emerging Technologies 40:1–13. https://doi.org/10.1016/j.trc.2013.12.001.
   Web of Science ®Google Scholar
• Ferreira, Luis, Phil Charles, and Clara Tether. 2007. “Evaluating Flexible Transport Solutions.” Transportation Planning and Technology 30 (2-3): 249–269. https://doi.org/10.1080/03081060701395501.
   Web of Science ®Google Scholar
• Geržinič, Nejc, Niels van Oort, Sascha Hoogendoorn-Lanser, Oded Cats, and Serge Hoogendoorn. 2022. “Potential of on-demand Services for Urban Travel.” Transportation 50:1289–1321.
   Web of Science ®Google Scholar
• Hörl, Sebastian, Felix Becker, and Kay W. Axhausen. 2021. “Simulation of Price, Customer Behaviour and System Impact for a Cost-covering Automated Taxi System in Zurich.” Transportation Research Part C: Emerging Technologies 123:102974. https://doi.org/10.1016/j.trc.2021.102974.
   Web of Science ®Google Scholar
• Horn, M. E. T. 2002. “Multi-modal and Demand-responsive Passenger Transport Systems: a Modelling Framework with Embedded Control Systems.” Transportation Research Part A: Policy and Practice 36 (2): 167–188.
   Web of Science ®Google Scholar
• Ibarra-Rojas, O. J., F. Delgado, R. Giesen, and J. C. Muñoz. 2015. “Planning, Operation, and Control of Bus Transport Systems: A Literature Review.” Transportation Research Part B: Methodological77:38–75. https://doi.org/10.1016/j.trb.2015.03.002.
   Web of Science ®Google Scholar
• Jäger, Benedikt, Carsten Brickwedde, and Markus Lienkamp. 2018. “Multi-Agent Simulation of a Demand-Responsive Transit System Operated by Autonomous Vehicles.” Transportation Research Record: Journal of the Transportation Research Board 2672
   Web of Science ®Google Scholar
• Jiang, Yu, and Avishai Ceder. 2021. “Incorporating Personalization and Bounded Rationality Into Stochastic Transit Assignment Model.” Transportation Research Part C: Emerging Technologies127:103127. https://doi.org/10.1016/j.trc.2021.103127.
   Web of Science ®Google Scholar
• Koutsopoulos, Haris N., Zhenliang Ma, Peyman Noursalehi, and Yiwen Zhu. 2019. “Chapter 10 – Transit Data Analytics for Planning, Monitoring, Control, and Information.” In Mobility Patterns, Big Data and Transport Analytics, edited by Constantinos Antoniou, Loukas Dimitriou, and Francisco Pereira, 229–261. Elsevier.
   Google Scholar
• Laskaris, Georgios, Oded Cats, Erik Jenelius, Marco Rinaldi, and Francesco Viti. 2018. “Multiline Holding Based Control for Lines Merging to a Shared Transit Corridor.” Transportmetrica B: Transport Dynamics 7 (1): 1062–1095.
   Web of Science ®Google Scholar
• Laskaris, Georgios, Oded Cats, Erik Jenelius, Marco Rinaldi, and Francesco Viti. 2021. “A Holding Control Strategy for Diverging Bus Lines.” Transportation Research Part C: Emerging Technologies126:103087. https://doi.org/10.1016/j.trc.2021.103087.
   Web of Science ®Google Scholar
• Leffler, David, Wilco Burghout, Erik Jenelius, and Oded Cats. 2021. “Simulation of Fixed Versus on-demand Station-based Feeder Operations.” Transportation Research Part C: Emerging Technologies132:103401. https://doi.org/10.1016/j.trc.2021.103401.
   Web of Science ®Google Scholar
• Leffler, David, Oded Cats, Erik Jenelius, and Wilco Burghout. 2017. “Real-Time Short-Turning in High Frequency Bus Services Based on Passenger Cost.” In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE.
   Google Scholar
• Leong, Waiyan, and David Alan Hensher. 2012. “Embedding Decision Heuristics in Discrete Choice Models: A Review.” Transport Reviews 32 (3): 313–331. https://doi.org/10.1080/01441647.2012.671195.
   Web of Science ®Google Scholar
• Li, Xiugang, and Luca Quadrifoglio. 2010. “Feeder Transit Services: Choosing Between Fixed and Demand Responsive Policy.” Transportation Research Part C: Emerging Technologies 18 (5): 770–780. https://doi.org/10.1016/j.trc.2009.05.015.
   Web of Science ®Google Scholar
• Liu, Yang, Prateek Bansal, Ricardo Daziano, and Samitha Samaranayake. 2019. “A Framework to Integrate Mode Choice in the Design of Mobility-on-demand Systems.” Transportation Research Part C: Emerging Technologies 105:648–665. https://doi.org/10.1016/j.trc.2018.09.022.
   Web of Science ®Google Scholar
• Liu, Yulin, Jonathan Bunker, and Luis Ferreira. 2010. “Transit Users' Route-Choice Modelling in Transit Assignment: A Review.” Transport Reviews 30 (6): 753–769. https://doi.org/10.1080/01441641003744261.
   Web of Science ®Google Scholar
• Liu, Henry X., Xiaozheng He, and Bingsheng He. 2007. “Method of Successive Weighted Averages (MSWA) and Self-Regulated Averaging Schemes for Solving Stochastic User Equilibrium Problem.” Networks and Spatial Economics 9 (4): 485–503. https://doi.org/10.1007/s11067-007-9023-x.
   Web of Science ®Google Scholar
• Liu, Jun, Kara M. Kockelman, Patrick M. Boesch, and Francesco Ciari. 2017. “Tracking a System of Shared Autonomous Vehicles Across the Austin, Texas Network Using Agent-based Simulation.” Transportation 44 (6): 1261–1278. https://doi.org/10.1007/s11116-017-9811-1.
   Web of Science ®Google Scholar
• Markov, Iliya, Rafael Guglielmetti, Marco Laumanns, Anna Fernández-Antolín, and Ravin de Souza. 2021. “Simulation-based Design and Analysis of on-demand Mobility Services.” Transportation Research Part A: Policy and Practice 149:170–205.
   Web of Science ®Google Scholar
• Martinez, Luis M., Gonçalo H. A. Correia, and José M. Viegas. 2014. “An Agent-based Simulation Model to Assess the Impacts of Introducing a Shared-taxi System: An Application to Lisbon (Portugal).” Journal of Advanced Transportation 49 (3): 475–495. https://doi.org/10.1002/atr.v49.3.
   Web of Science ®Google Scholar
• Moorthy, Aditi, Robert De Kleine, Gregory Keoleian, Jeremy Good, and Geoff Lewis. 2017. “Shared Autonomous Vehicles As a Sustainable Solution to the Last Mile Problem: A Case Study of Ann Arbor-Detroit Area.” SAE International Journal of Passenger Cars – Electronic and Electrical Systems10 (2): 328–336. https://doi.org/10.4271/2017-01-1276.
   Google Scholar
• Narayan, Jishnu, Oded Cats, Niels van Oort, and Serge Hoogendoorn. 2020. “Integrated Route Choice and Assignment Model for Fixed and Flexible Public Transport Systems.” Transportation Research Part C: Emerging Technologies 115:102631. https://doi.org/10.1016/j.trc.2020.102631.
   Web of Science ®Google Scholar
• Narayan, Jishnu, Oded Cats, Niels van Oort, and Serge Paul Hoogendoorn. 2021. “On the Scalability of Private and Pooled on-demand Services for Urban Mobility in Amsterdam.” Transportation Planning and Technology 45:2–18. https://doi.org/10.1080/03081060.2021.2017214.
   Web of Science ®Google Scholar
• Narayanan, Santhanakrishnan, Emmanouil Chaniotakis, and Constantinos Antoniou. 2020. “Shared Autonomous Vehicle Services: A Comprehensive Review.” Transportation Research Part C: Emerging Technologies 111:255–293. https://doi.org/10.1016/j.trc.2019.12.008.
   Web of Science ®Google Scholar
• Peftitsi, Soumela, Erik Jenelius, and Oded Cats. 2021. “Evaluating Crowding in Individual Train Cars Using a Dynamic Transit Assignment Model.” Transportmetrica B: Transport Dynamics 9 (1): 693–711.
   Web of Science ®Google Scholar
• Pinto, Helen K. R. F., Michael F. Hyland, Hani S. Mahmassani, and I. Ömer Verbas. 2020. “Joint Design of Multimodal Transit Networks and Shared Autonomous Mobility Fleets.” Transportation Research Part C: Emerging Technologies 113:2–20. https://doi.org/10.1016/j.trc.2019.06.010.
   Web of Science ®Google Scholar
• Potts, John F., Maxine A. Marshall, Emmett C. Crockett, and Joel Washington. 2010. “A Guide for Planning and Operating Flexible Public Transportation Services.” Transportation Research Board.
   Google Scholar
• Ronald, Nicole, Russell Thompson, and Stephan Winter. 2015. “Simulating Demand-responsive Transportation: A Review of Agent-based Approaches.” Transport Reviews 35 (4): 404–421. https://doi.org/10.1080/01441647.2015.1017749.
   Web of Science ®Google Scholar
• Salazar, Mauro, Federico Rossi, Maximilian Schiffer, Christopher H. Onder, and Marco Pavone. 2018. “On the Interaction Between Autonomous Mobility-on-Demand and Public Transportation Systems.” In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE.
   Google Scholar
• Scheltes, Arthur, and Gonçalo Homem de Almeida Correia. 2017. “Exploring the Use of Automated Vehicles As Last Mile Connection of Train Trips Through An Agent-based Simulation Model: An Application to Delft, Netherlands.” International Journal of Transportation Science and Technology 6 (1): 28–41. https://doi.org/10.1016/j.ijtst.2017.05.004.
   Google Scholar
• Sheffi, Yosef, and Warren B. Powell. 1982. “An Algorithm for the Equilibrium Assignment Problem with Random Link Times.” Networks 12 (2): 191–207. https://doi.org/10.1002/net.v12:2.
   Web of Science ®Google Scholar
• Shen, Yu, Hongmou Zhang, and Jinhua Zhao. 2018. “Integrating Shared Autonomous Vehicle in Public Transportation System: A Supply-side Simulation of the First-mile Service in Singapore.” Transportation Research Part A: Policy and Practice 113:125–136.
   Web of Science ®Google Scholar
• Sörensen, Leif, Andreas Bossert, Jani-Pekka Jokinen, and Jan Schlüter. 2021. “How Much Flexibility Does Rural Public Transport Need? – Implications From a Fully Flexible DRT System.” Transport Policy 100:5–20. https://doi.org/10.1016/j.tranpol.2020.09.005.
   Web of Science ®Google Scholar
• Spiess, Heinz, and Michael Florian. 1989. “Optimal Strategies: A New Assignment Model for Transit Networks.” Transportation Research Part B: Methodological 23 (2): 83–102. https://doi.org/10.1016/0191-2615(89)90034-9.
   Web of Science ®Google Scholar
• Toledo, Tomer, Oded Cats, Wilco Burghout, and Haris N. Koutsopoulos. 2010. “Mesoscopic Simulation for Transit Operations.” Transportation Research Part C: Emerging Technologies 18 (6): 896–908. https://doi.org/10.1016/j.trc.2010.02.008.
   Web of Science ®Google Scholar
• Vansteenwegen, Pieter, Lissa Melis, Dilay Aktaş, Bryan David Galarza Montenegro, Fábio Sartori Vieira, and Kenneth Sörensen. 2022. “A Survey on Demand-responsive Public Bus Systems.” Transportation Research Part C: Emerging Technologies 137:103573. https://doi.org/10.1016/j.trc.2022.103573.
   Web of Science ®Google Scholar
• Wardman, Mark. 2004. “Public Transport Values of Time.” Transport Policy 11 (4): 363–377. https://doi.org/10.1016/j.tranpol.2004.05.001.
   Google Scholar
• Wardman, Mark, and Gerard Whelan. 2011. “Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons From British Experience.” Transport Reviews 31 (3): 379–398. https://doi.org/10.1080/01441647.2010.519127.
   Web of Science ®Google Scholar
• Wen, Jian, Yu Xin Chen, Neema Nassir, and Jinhua Zhao. 2018. “Transit-oriented Autonomous Vehicle Operation with Integrated Demand-supply Interaction.” Transportation Research Part C: Emerging Technologies 97:216–234. https://doi.org/10.1016/j.trc.2018.10.018.
   Web of Science ®Google Scholar
• Winter, Konstanze, Oded Cats, Gonçalo Correia, and Bart van Arem. 2018. “Performance Analysis and Fleet Requirements of Automated Demand-responsive Transport Systems As An Urban Public Transport Service.” International Journal of Transportation Science and Technology 7 (2): 151–167. https://doi.org/10.1016/j.ijtst.2018.04.004.
   Google Scholar