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Publications (7)
- Analyzing the impact of fare-free public transport policies on crowding patterns at stations using crowdsensing data Save
- Predicting network flows from speeds using open data and transfer learning Save
- Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones Save
- Data to the people: a review of public and proprietary data for transport models Save
- Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data Save
- Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich Save
- Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning Save