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136484 documenten gevonden.

Design of approach informing sound for quiet vehicles that indicates a car traveling : paper presented at INTER-NOISE, Madrid, Spain, June 16-19, 2019.

Gepubliceerd: | Tsuruta-Hamamura, M. Kobayashi, T. Kosuge, T. Tsujinaga, T. & Hasegawa, H.

Developments in car crash safety and comparisons between results from Euro NCAP tests and real-world crashes. Paper presented at the 26th International Technical Conference on Enhanced Safety of Vehicles ESV, Eindhoven, The Netherlands, June 13-16, 2...

Gepubliceerd: | Kullgren, A. Axelsson, A. Stigson, H. & Ydenius, A.

Analysis of risk-taking behaviors of electric bicycle riders in response to pedestrian countdown signal devices.

Gepubliceerd: | Yu, R. Zhao, H. Zhang, C. & Wang, Z.

Regulation (EU) 2019/2144 of the European Parliament and of the Council of 27 November 2019 on type-approval requirements for motor vehicles and their trailers, and systems, components and separate technical units intended for such vehicles, as regar...

Gepubliceerd: | -

Bicycle lanes : are we running in circles or cycling in the right direction ?

Gepubliceerd: | Smith, A. Zucker, S. Lladó-Farrulla, M. Friedman, J. Guidry, C. McGrew, P. & Duchesne, J.

Safer cycling and the urban road environment : a case control study.

Gepubliceerd: | Meuleners, L.B. Stevenson, M. Fraser, M. Oxley, J. Rose, G. & Johnson, M.

The potential of vehicle and road infrastructure interventions in fatal bicyclist accidents on Swedish roads : what can in-depth studies tell us?

Gepubliceerd: | Kullgren, A. Stigson, H. Ydenius, a. Axelsson, A. Engström, E. & Rizzi, M.

Risk analysis and safer layout design solutions for bicycles in four-leg urban intersections.

Gepubliceerd: | Cantisani, G. Moretti, L. & De Andrade Barbosa, Y.

Green signal countdown timers for bicycle traffic : results from a field study. Paper presented at the 2nd CBR (Cycling Research Board) Annual Meeting, Delft, The Netherlands, 30 October - 1 November 2019.

Gepubliceerd: | Kaths, H. Grigoropoulos, G. & Krämer, K.

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

Gepubliceerd: | Blomberg, S.N. Folke, F. Kjaer Ersbøll, A. Collatz Christensen, H. Torp-Pedersen, C. Sayre, m.R. Counts, C.R. & Lippert, F.K.