Vishal Mahajan

Predicting network flows from speeds using open data and transfer learning

C. Antoniou, R. Rothfeld, Guido Cantelmo, 2022, IET Intelligent Transport Systems.

Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning

Constantinos Antoniou, Vishal Mahajan, Christos Katrakazas, 2020, Transportation Research Record: Journal of the Transportation Research Board.

Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich

C. Antoniou, Guido Cantelmo, Vishal Mahajan, 2021, European Transport Research Review.

Data to the people: a review of public and proprietary data for transport models

Rolf Moeckel, Constantinos Antoniou, Guido Cantelmo, 2021, Transport Reviews.

Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data

C. Antoniou, Christos Katrakazas, Vishal Mahajan, 2020, IEEE Transactions on Intelligent Transportation Systems.

Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

David P. Kreil, S. Hochreiter, Yue-jiao Gong, 2023, NeurIPS.

Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting

Qingying Lu, Cheng Lyu, Xinhua Wu, 2022, ArXiv.

Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones

Md Rakibul Alam, N. Geroliminis, C. Antoniou, 2023, IEEE Transactions on Intelligent Transportation Systems.