8 citations
- Technische Universität DresdenDE3 papers
- Beijing Institute of TechnologyCN1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Delft University of TechnologyNL1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
- HUN-REN Wigner Research Centre for PhysicsHU1 paper
- Indian Institute of Technology MadrasIN1 paper
- Institute of Theoretical and Applied InformaticsPL1 paper
- Institute of Transport EconomicsNO1 paper
- Silesian University of TechnologyPL1 paper
- Texas A&M UniversityUS1 paper
- Transport CanadaCA1 paper
4 papers
Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic
Mihir Mandar Kulkarni, Ankit Anil Chaudhari, Karthik K. Srinivasan +3
Most car-following models were originally developed for lane-based traffic. Over the past two decades, efforts have been made to calibrate car-following models for non-lane-based t…
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
C. Gong, C. Lu, Z. Li +3
Model-free learning-based control methods have recently shown significant advantages over traditional control methods in avoiding complex vehicle characteristic estimation and para…
Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach
Mátyás Koniorczyk, Krzysztof Krawiec, Ludmila Botelho +2
We address the applicability of a hybrid quantum-classical heuristics for practical railway rescheduling management problems. We build an integer linear programming model and solve…
Estimating impacts of covid19 on transport capacity in railway networks
Nikola Bešinović, Christopher Szymula
Due to the covid19 crisis, public transport (PT) systems are facing new challenges. Regarding restrictive measures such as physical distancing and the successive returning of passe…