Prediction of lane-changing maneuvers with automatic labeling and deep learning V Mahajan, C Katrakazas, C Antoniou 2020 TRB 99th Annual Meeting, 2020 | 117 | 2020 |
Crash risk estimation due to lane changing: A data-driven approach using naturalistic data V Mahajan, C Katrakazas, C Antoniou IEEE Transactions on Intelligent Transportation Systems 23 (4), 2020 | 46 | 2020 |
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich V Mahajan, G Cantelmo, C Antoniou European Transport Research Review 13 (1), 1-14, 2021 | 44 | 2021 |
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich V Mahajan, G Cantelmo, C Antoniou International Transport Forum Pre-Summit Research Days 2021, 2021 | 44 | 2021 |
Data to the people: a review of public and proprietary data for transport models V Mahajan, N Kuehnel, A Intzevidou, G Cantelmo, R Moeckel, C Antoniou Transport reviews 42 (4), 415-440, 2022 | 27 | 2022 |
Analyzing the impact of fare-free public transport policies on crowding patterns at stations using crowdsensing data QL Lu, V Mahajan, C Lyu, C Antoniou Transportation Research Part A: Policy and Practice 179, 103944, 2024 | 10 | 2024 |
Traffic4cast at neurips 2022–predict dynamics along graph edges from sparse node data: Whole city traffic and eta from stationary vehicle detectors M Neun, C Eichenberger, H Martin, M Spanring, R Siripurapu, D Springer, ... NeurIPS 2022 Competition Track, 251-278, 2023 | 10 | 2023 |
Treating Noise and Anomalies in Vehicle Trajectories from an Experiment with a Swarm of Drones V Mahajan, E Barmpounakis, MR Alam, N Geroliminis, C Antoniou IEEE Transactions on Intelligent Transportation Systems, 2023 | 9 | 2023 |
Predicting Network Flows from Link Speeds using Open Data and Transfer Learning V Mahajan, G Cantelmo, R Rothfeld, C Antoniou IET Intelligent Transport Systems, 2022 | 6* | 2022 |
Real-time driving intention prediction and crash risk estimation from naturalistic driving data using machine learning V Mahajan | 5 | 2019 |
Machine learning for learnability of MDD tools SB Abid, V Mahajan, L Lucio Proceedings of the 31st International Conference on Software Engineering and …, 2019 | 4 | 2019 |
Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting X Wu, C Lyu, QL Lu, V Mahajan arXiv preprint arXiv:2211.07031, 2022 | 1 | 2022 |
Which (open) data do transport modelers really use? V Mahajan, C Llorca, R Moeckel, C Antoniou EURO working group on Transportation (EWGT), 2023 | | 2023 |
Towards automated calibration of large-scale traffic simulations V Mahajan, G Cantelmo, C Antoniou preprint, 2023 | | 2023 |
Evaluating the Safety Effectiveness of Textured Pavement and Speed Hump at Uncontrolled Midblock Crosswalk in Mixed and Heterogeneous Traffic Conditions G Gupta, V Mahajan, I Ghosh, C Antoniou TRB 102nd Annual Meeting January 8–12, 2023; Washington, DC, 2023 | | 2023 |