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  • D 2.1
  • D 7.3
  • New papers 2017

Deliverables & Papers

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D 7.1 Project Website
D 7.2 Communication Material
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D 2.1 Present State of Affairs
D 7.3 Initial Plan for Dissemination and Exploitation
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Blokpoel, R.J., Joueiai, M. (2016). Bicycle modelling in SUMO for accurate traffic simulation. SUMO conference 2016, 1-10.
Blokpoel, R.J., Stuiver, A. (2016). Sensory observation message and CAM extensions for VRU safety. ITS Europe conference 2016.
Fraboni, F., Puchades, V. M., De Angelis, M., Prati, G., & Pietrantoni, L. (2016). Social influence and different types of red-light behaviors among cyclists. Frontiers in psychology, 7.
Prati, G., De Angelis, M., Puchades, V. M., Fraboni, F., & Pietrantoni, L. (2017). Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining. PloS one, 12(2), e0171484.
Prati, G., Pietrantoni, L., & Fraboni, F. (2017). Using data mining techniques to predict the severity of bicycle crashes. Accident Analysis & Prevention, 101 44-54.
Prati, G., Marín Puchades, V., De Angelis, M., Fraboni, F., & Pietrantoni, L. (2017). Factors contributing to bicycle–motorised vehicle collisions: a systematic literature review. Transport Reviews, 1-25.
Dardari, D., Decarli, N., Guerra, A., Al-Rimawi, A., Puchades, V. M., Prati, G., ... & Pietrantoni, L. (2017). High-Accuracy Tracking Using Ultrawideband Signals for Enhanced Safety of Cyclists. Mobile Information Systems, 2017.
Prati, G., Puchades, V. M., & Pietrantoni, L. (2017). Cyclists as a minority group?. Transportation Research Part F: Traffic Psychology and Behaviour, 47, 34-41.