NDLI: Safety Performance Assessment of Assisted and Automated Driving by Virtual Experiments: Stochastic Microscopic Traffic Simulation as Knowledge Synthesis

Content Provider	IEEE Xplore Digital Library
Author	Helmer, T. Lei Wang Kompass, K. Kates, R.
Copyright Year	2015
Description	Author affiliation: Vehicle Safety, BMW AG, Munich, Germany (Helmer, T.; Lei Wang; Kompass, K.) \|\| REK Consulting, Otterfing, Germany (Kates, R.)
Abstract	Advanced driver assistance and automated driving can influence traffic safety in a variety of ways. Development and implementation of safety-relevant functions require prospective, quantitative assessment of their traffic safety impacts. Both benefits and risks can be quantified using simulation-based virtual experimental techniques. To this end, traffic phenomena are modeled taking into account key safety-relevant processes and "stochastic" simulation is performed on large, representative virtual samples. The virtual representations of traffic phenomena are based on detailed, stochastic models of drivers, vehicles, traffic flow, and the road environment, together with their interactions. The models incorporate knowledge from FOT, NDS, laboratory and driving simulator experiments, and other sources. Large-scale, comprehensive simulations could help in identifying and evaluating the relevant situations in which automated driving impacts traffic safety. The goal is a standardized harmonized methodology, agreed upon by all stakeholders, for holistic assessment of the impact of new driver assistance or automatic driving functions on traffic safety.
Starting Page	2019
Ending Page	2023
File Size	168157
Page Count	5
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.327
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Safety Vehicles Automation Accidents Stochastic processes Measurement Stakeholders Harmonization ADAS Automated Driving Safety Assessment Stochastic Simulation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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