The proceedings of MT-IST 2021 conference are now online on IEEE Xplore. The TUM Chair of Transportation Systems Engineering has contributed with nine conference proceedings, listed below.
- Modeling and Forecasting Individual On-Demand Upcoming Trips (Abdullahi Fatola; Tao Ma; Constantinos Antoniou)
- Analysis and Prediction of Bikesharing Traffic Flow – Citi Bike, New York (Salma Y. Y. Hamad; Tao Ma; Constantinos Antoniou)
- A New Methodology To Infer Travel Behavior Using Floating Car Data (Abdallah Abu-Aisha; Ralph Harfouche; Christos Katrakazas; Constantinos Antoniou)
- Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem (Giovanni Ceccarelli; Guido Cantelmo; Marialisa Nigro; Constantinos Antoniou)
- Examining Effect of Electronic Toll Collection (ETC) System on Queue Delay Using Microsimulation Approach at Toll Plaza -A Case Study of Ghoti Toll Plaza, India (Chintaman Bari; Utakarsh Gupta; Satish Chandra; Constantinos Antoniou; Ashish Dhamaniya)
- Network Traffic Dynamics Prediction with a Hybrid Approach: Autoencoder-VAR (Xiaolin Gong; Tao Ma; Constantinos Antoniou)
- Risk scenario designs for driving simulator experiments (Roja Ezzati Amini; Eva Michelaraki; Christos Katrakazas; Christelle Al Haddad; Bart De Vos; Ariane Cuenen; George Yannis; Tom Brijs, Constantinos Antoniou)
- Driving Behavior Safety Levels: Classification and Evaluation (Kui Yang; Christelle Al Haddad; George Yannis; Constantinos Antoniou)
- A big data-as-a-service architecture for naturalistic driving studies (Md Rakibul Alam; Christelle Al Haddad; Constantinos Antoniou; Carlos Carreiras; Yves Vanrompay; Tom Brijs)