| Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations G Li, VL Knoop, H Van Lint Transportation Research Part C: Emerging Technologies 128, 103185, 2021 | 52 | 2021 |
| Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges Z Li, C Gong, Y Lin, G Li, X Wang, C Lu, M Wang, S Chen, J Gong Green Energy and Intelligent Transportation, 100103, 2023 | 11 | 2023 |
| Estimate the limit of predictability in short-term traffic forecasting: An entropy-based approach G Li, VL Knoop, H van Lint Transportation Research Part C: Emerging Technologies 138, 103607, 2022 | 9 | 2022 |
| Uqnet: Quantifying uncertainty in trajectory prediction by a non-parametric and generalizable approach G Li, Z LI, V Knoop, H van Lint Available at SSRN 4241523, 2022 | 8 | 2022 |
| Dynamic graph filters networks: A gray-box model for multistep traffic forecasting LI Guopeng, VL Knoop, H van Lint 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 7 | 2020 |
| Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles G Li, Y Jiao, VL Knoop, SC Calvert, JWC van Lint 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 5 | 2023 |
| Analysis of stochasticity and heterogeneity of car-following behavior based on data-driven modeling Y Shiomi, G Li, VL Knoop Transportation research record 2677 (12), 604-619, 2023 | 3 | 2023 |
| How predictable are macroscopic traffic states: a perspective of uncertainty quantification G Li, VL Knoop, H van Lint Transportmetrica B: transport dynamics 12 (1), 2314766, 2024 | | 2024 |
| Beyond Behaviour Change: Investigating Alternative Explanations for Shorter Time Headways When Human Drivers Follow Automated Vehicles Y Jiao, G Li, SC Calvert, S van Cranenburgh, H van Lint Available at SSRN 4713957, 2024 | | 2024 |
| Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features TT Nguyen, SC Calvert, G Li, H van Lint arXiv preprint arXiv:2311.17256, 2023 | | 2023 |
| A Comparative Conflict Resolution Dataset Derived from Argoverse-2: Scenarios with vs. without Autonomous Vehicles G Li, Y Jiao, SC Calvert, JWC van Lint arXiv preprint arXiv:2308.13839, 2023 | | 2023 |
| How Far Ahead Should Autonomous Vehicles Start Reacting to Conflicts? Exploring the Uncertainty-Based Efficiency-Safety Trade-Off G Li, Z Li, V Knoop, H van Lint Pre-printed SSRN, 2023 | | 2023 |
| Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? G Li, VL Knoop, H van Lint Transportation Research Board 103rd Annual Meeting Transportation Research Board, 2023 | | 2023 |
| Uncertainty Quantification and Predictability Analysis for Traffic Forecasting at Multiple Scales G Li | | 2023 |
| Green Energy and Intelligent Transportation Z Li, C Gong, Y Lin, G Li, X Wang, C Lu, M Wang, S Chen, J Gong Sort 50 (100), 200, 0 | | |
Victor L. Knoopassociate professor Delft University of TechnologyVerified email at tudelft.nl
