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Francesco Corman
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- affiliation: ETH Zürich, Switzerland
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2020 – today
- 2024
- [j40]Jan Lordieck
, Michael Nold
Microscopic railway capacity assessment of heterogeneous traffic under real-life operational conditions. J. Rail Transp. Plan. Manag. 30: 100446 (2024) - [j39]Michael Nold
Train separation at cruising speed, how it can improve current railway operations. J. Rail Transp. Plan. Manag. 30: 100451 (2024) - [c28]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS 2024: 973-982 - 2023
- [j38]Florin Leutwiler
Accelerating logic-based Benders decomposition for railway rescheduling by exploiting similarities in delays. Comput. Oper. Res. 150: 106075 (2023) - [j37]Florin Leutwiler
Set covering heuristics in a Benders decomposition for railway timetabling. Comput. Oper. Res. 159: 106339 (2023) - [j36]Florin Leutwiler
A review of principles and methods to decompose large-scale railway scheduling problems. EURO J. Transp. Logist. 12: 100107 (2023) - [j35]Guillem Bonet Filella
Modeling soft unloading constraints in the multi-drop container loading problem. Eur. J. Oper. Res. 308(1): 336-352 (2023) - [j34]Alessio Daniele Marra, Francesco Corman
How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking. Expert Syst. Appl. 213(Part): 119083 (2023) - [j33]Alessio Trivella
Modeling system dynamics of interacting cruising trains to reduce the impact of power peaks. Expert Syst. Appl. 230: 120650 (2023) - [j32]Xiaojie Luan
Inequity averse optimization of railway traffic management considering passenger route choice and Gini Coefficient. J. Rail Transp. Plan. Manag. 26: 100395 (2023) - [j31]Dimitris Kouzoupis, Ishan Pendharkar, Francesco Corman:
TTOBench - an Open-Source Library for Train Trajectory Optimization. Oper. Res. Forum 4(4): 67 (2023) - [c27]Federico Gallo
Weather Effects on the Public Transport Ridership of the City of Zurich at a Stop-to-stop Level. MT-ITS 2023: 1-7 - [c26]Lory Michelle Bresciani Miristice
Real-Time passengers forecasting in congested transit networks considering dynamic service disruptions and passenger count data. MT-ITS 2023: 1-7 - [i1]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR abs/2306.17052 (2023) - 2022
- [j30]Pengling Wang
Passenger-centric periodic timetable adjustment problem for the utilization of regenerative energy. Comput. Ind. Eng. 172(Part): 108578 (2022) - [j29]Florin Leutwiler, Francesco Corman
A logic-based Benders decomposition for microscopic railway timetable planning. Eur. J. Oper. Res. 303(2): 525-540 (2022) - [j28]Nuannuan Leng
Communicating delays and adjusted disposition timetables: Modelling and evaluating the impact of incomplete information to passengers. Expert Syst. Appl. 191: 116265 (2022) - [j27]Thomas Spanninger
A review of train delay prediction approaches. J. Rail Transp. Plan. Manag. 22: 100312 (2022) - [j26]Francesco Corman
Estimating aggregate railway performance from realized empirical data: Literature review, a test case and a research roadmap. J. Rail Transp. Plan. Manag. 22: 100316 (2022) - [j25]Ping Huang
Enhancing the Understanding of Train Delays With Delay Evolution Pattern Discovery: A Clustering and Bayesian Network Approach. IEEE Trans. Intell. Transp. Syst. 23(9): 15367-15381 (2022) - [j24]Beda Büchel
What Do We Know When? Modeling Predictability of Transit Operations. IEEE Trans. Intell. Transp. Syst. 23(9): 15684-15695 (2022) - [j23]Pengling Wang
Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment. IEEE Trans. Intell. Transp. Syst. 23(9): 15742-15754 (2022) - 2021
- [j22]Alessio Trivella
The impact of wind on energy-efficient train control. EURO J. Transp. Logist. 10: 100013 (2021) - [j21]Ping Huang
Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition. Expert Syst. Appl. 177: 114996 (2021) - [j20]Michael Nold
Dynamic train unit coupling and decoupling at cruising speed: Systematic classification, operational potentials, and research agenda. J. Rail Transp. Plan. Manag. 18: 100241 (2021) - [j19]Pier Giuseppe Sessa, Valerio De Martinis
A hybrid stochastic approach for offline train trajectory reconstruction. Public Transp. 13(3): 675-698 (2021) - [c25]Beda Büchel, Francesco Corman:
Probabilistic Bus Delay Predictions with Bayesian Networks. ITSC 2021: 3752-3758 - [c24]Beda Büchel, Thomas Spanninger, Francesco Corman:
Modeling Evolutionary Dynamics of Railway Delays with Markov Chains. MT-ITS 2021: 1-6 - [c23]Mahsa Rahimi, Zahra Ghandeharioun, Anastasios Kouvelas, Francesco Corman:
Multi-modal management actions for public transport disruptions: an agent-based simulation. MT-ITS 2021: 1-6 - [c22]Thomas Spanninger, Beda Büchel, Francesco Corman:
Probabilistic Predictions of Train Delay Evolution. MT-ITS 2021: 1-6 - 2020
- [j18]Pier Giuseppe Sessa, Valerio De Martinis
Filtering approaches for online train motion estimation with onboard power measurements. Comput. Aided Civ. Infrastructure Eng. 35(5): 415-429 (2020) - [j17]Lingyun Meng, Francesco Corman:
Editorial: Special issue on practical value of railway operations research. J. Rail Transp. Plan. Manag. 13: 100179 (2020) - [j16]Masoud Shakibayifar
An integrated rescheduling model for minimizing train delays in the case of line blockage. Oper. Res. 20(1): 59-87 (2020) - [j15]Francesco Corman
Interactions and Equilibrium Between Rescheduling Train Traffic and Routing Passengers in Microscopic Delay Management: A Game Theoretical Study. Transp. Sci. 54(3): 785-822 (2020) - [c21]Nuannuan Leng
How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach. ANT/EDI40 2020: 382-389 - [c20]Xin Hong, Lingyun Meng, Pu Zhang, Fei Zhao, Andrea D'Ariano
Timetable Rescheduling with Reassignment of Rolling Stocks and Passengers under Disruptions. ITSC 2020: 1-6
2010 – 2019
- 2019
- [j14]Andrea D'Ariano
Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance. Comput. Ind. Eng. 127: 1315-1335 (2019) - [j13]Sofie Van Thielen, Francesco Corman
Towards a conflict prevention strategy applicable for real-time railway traffic management. J. Rail Transp. Plan. Manag. 11 (2019) - [c19]Sihui Long, Lingyun Meng, Yihui Wang, Jianrui Miao, Tinglan Li, Francesco Corman:
A Train Rescheduling Optimization model with considering the Train Control for A High-Speed Railway Line under Temporary Speed Restriction. ITSC 2019: 2809-2816 - [c18]Francesco Corman, Jonas Henken, Mehdi Keyvan-Ekbatani:
Macroscopic fundamental diagrams for train operations - are we there yet? MT-ITS 2019: 1-8 - [c17]Florian Fuchs, Francesco Corman:
An Open Toolbox for Integrated Optimization of Public Transport. MT-ITS 2019: 1-7 - [c16]Jérémy Decerle, Francesco Corman:
Freight Pickup and Delivery with Time Windows, Heterogeneous Fleet and Alternative Delivery Points. OR 2019: 381-387 - 2018
- [c15]Pier Giuseppe Sessa, Valerio De Martinis
A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. ITSC 2018: 2297-2302 - 2017
- [j12]Marcella Samà
A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations. Comput. Oper. Res. 78: 480-499 (2017) - [c14]Andrea D'Ariano
Microscopic delay management: Minimizing train delays and passenger travel times during real-time railway traffic control. MT-ITS 2017: 309-314 - 2016
- [c13]Manish Tripathy
Impact of Collaborative Decision Making in Optimized Air Traffic Control: A Game Theoretical Approach. ICCL 2016: 397-410 - 2015
- [j11]Marcella Samà
A multi-criteria decision support methodology for real-time train scheduling. J. Rail Transp. Plan. Manag. 5(3): 146-162 (2015) - [j10]Thomas Albrecht, Francesco Corman:
Special issue on intelligent transportation systems. Public Transp. 7(3): 277-279 (2015) - [j9]Francesco Corman, Lingyun Meng:
A Review of Online Dynamic Models and Algorithms for Railway Traffic Management. IEEE Trans. Intell. Transp. Syst. 16(3): 1274-1284 (2015) - [c12]Qu Hu, Francesco Corman, Gabriël Lodewijks
A Review of Intermodal Rail Freight Bundling Operations. ICCL 2015: 451-463 - [c11]Francesco Corman, Dario Pacciarelli
Rescheduling Railway Traffic Taking into Account Minimization of Passengers' Discomfort. ICCL 2015: 602-616 - [c10]Wenhua Qu, Francesco Corman, Gabriël Lodewijks
A Review of Real Time Railway Traffic Management During Disturbances. ICCL 2015: 658-672 - [c9]Marcella Sama
Metaheuristics for Real-Time Near-Optimal Train Scheduling and Routing. ITSC 2015: 1678-1683 - [c8]Marcella Sama
A variable neighborhood search for optimal scheduling and routing of take-off and landing aircraft. MT-ITS 2015: 491-498 - [c7]Francesco Corman, Jianbin Xin
Optimizing hybrid operations at large-scale automated container terminals. MT-ITS 2015: 514-521 - [e1]Francesco Corman, Stefan Voß, Rudy R. Negenborn:
Computational Logistics - 6th International Conference, ICCL 2015 Delft, The Netherlands, September 23-25, 2015. Proceedings. Lecture Notes in Computer Science 9335, Springer 2015, ISBN 978-3-319-24263-7 [contents] - 2014
- [j8]Francesco Corman
Dispatching and coordination in multi-area railway traffic management. Comput. Oper. Res. 44: 146-160 (2014) - [j7]Francesco Corman
Evaluating Disturbance Robustness of Railway Schedules. J. Intell. Transp. Syst. 18(1): 106-120 (2014) - [c6]F. Nieuwkoop, Francesco Corman
Decision support for vehicle configuration determination in Inter Terminal Transport system design. ICNSC 2014: 613-618 - [c5]Herbert J. L. Schroër, Francesco Corman, Mark B. Duinkerken, Rudy R. Negenborn, Gabriël Lodewijks
Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation. WSC 2014: 1771-1782 - 2013
- [j6]Rob M. P. Goverde, Francesco Corman
Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions. J. Rail Transp. Plan. Manag. 3(3): 78-94 (2013) - [j5]Egidio Quaglietta
Stability analysis of railway dispatching plans in a stochastic and dynamic environment. J. Rail Transp. Plan. Manag. 3(4): 137-149 (2013) - [j4]Pavle Kecman, Francesco Corman
Rescheduling models for railway traffic management in large-scale networks. Public Transp. 5(1-2): 95-123 (2013) - [c4]Egidio Quaglietta
Impact of a stochastic and dynamic setting on the stability of railway dispatching solutions. ITSC 2013: 1035-1040 - [c3]Francesco Viti
Equilibrium and sensitivity analysis of dynamic ridesharing. ITSC 2013: 2409-2414 - 2011
- [j3]Francesco Corman
Optimal multi-class rescheduling of railway traffic. J. Rail Transp. Plan. Manag. 1(1): 14-24 (2011) - [c2]Francesco Corman
A bilevel rescheduling framework for optimal inter-area train coordination. ATMOS 2011: 15-26 - [c1]Francesco Corman
Dispatching trains during seriously disrupted traffic situations. ICNSC 2011: 323-328 - 2010
- [j2]Francesco Corman
Centralized versus distributed systems to reschedule trains in two dispatching areas. Public Transp. 2(3): 219-247 (2010)
2000 – 2009
- 2009
- [p1]Francesco Corman
Rescheduling Dense Train Traffic over Complex Station Interlocking Areas. Robust and Online Large-Scale Optimization 2009: 369-386 - 2008
- [j1]Andrea D'Ariano
Reordering and Local Rerouting Strategies to Manage Train Traffic in Real Time. Transp. Sci. 42(4): 405-419 (2008)
Coauthor Index
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last updated on 2024-11-14 00:55 CET by the dblp team
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