my research

I have published on applications of machine learning and deep learning for predicting traffic and driving patterns. Some of the publications are listed here:

Mahajan, V., Barmpounakis, E., Alam, Md R., Geroliminis, N., Antoniou, C. (2023) Treating Noise and Anomalies in Vehicle Trajectories from an Experiment with a Swarm of Drones. IEEE Transactions on Intelligent Transportation Systems.

Mahajan, V., Cantelmo, G., Rothfeld, R., Antoniou, C. (2023) Predicting network flows from speeds using open data and transfer learning. IET Intell. Transp. Syst. 00, 1– 21.

Mahajan, V., Kuehnel, N., Intzevidou, A., Cantelmo, G., Moeckel, R., & Antoniou, C. (2021) Data to the people: a review of public and proprietary data for transport models. Transport Reviews, 0(0), 1–26.

Mahajan, V., Cantelmo, G. & Antoniou, C. (2021) Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich. Eur. Transp. Res. Rev. 13, 26.

Mahajan, V., Katrakazas, C., & Antoniou, C. (2022) Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data. IEEE Transactions on Intelligent Transportation Systems, 23(4), 3756–3765.

Mahajan, V., Katrakazas, C., & Antoniou, C. (2020). Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning. Transportation Research Record, 2674(7), 336–347.

More details on publications can be found on Google Scholar profile page.