Using reaction times and accident statistics for safety impact prediction of automated vehicles on road safety of vulnerable road users

Author:

Hula AndreasORCID,de Zwart Rins,Mons CelinaORCID,Weijermars Wendy,Boghani HiteshORCID,Thomas PeteORCID

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality,Building and Construction

Reference47 articles.

1. A Review of Car-Following Models and Modeling Tools for Human and Autonomous-Ready Driving Behaviors in Micro-Simulation;Ahmed;Smart Cities,2021

2. Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: a study of urban and suburban intersections, Doctoral Thesis, KTH Department of Infrastructure Division for Transport and Logistics;Archer;ToL Centre for Transport Research (CTR),2005

3. Ariza, A., 2011. Validation of Road Safety Surrogate Measures as a Predictor of Crash Frequency Rates on a Large-Scale Microsimulation Network. Master Thesis, Department of Civil Engineering University of Toronto.

4. Statistik Austria, 2016, Accident Numbers for Vienna 2016. URL http://www.statistik-austria.com/.

5. Bahram, M., Ghandeharioun, Z., Zahn, P., Baur, M., Huber, W., Busch, F., 2014. Microscopic traffic simulation based evaluation of highly automated driving on highways, 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 1752–1757. doi:10.1109/ITSC.2014. 6957946.

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