Traffic Safety Data
portes grátis
Traffic Safety Data
Sources, analysis and applications
Laureshyn, Aliaksei; Sucha, Matus; Agerholm, Niels
Institution of Engineering and Technology
03/2025
367
Dura
9781839530456
15 a 20 dias
Descrição não disponível.
Chapter 1: Introduction
Chapter 2: Accident data and records
Chapter 3: Accident modelling: an overview
Chapter 4: In-depth accident investigations
Chapter 5: Healthcare data
Chapter 6: The use of self-reported data in road safety research
Chapter 7: Automated driving and safety data
Chapter 8: Naturalistic (driving/cycling/walking) studies
Chapter 9: Surrogate measures of safety: site-based observations
Chapter 10: Behavioural observations
Chapter 11: Road Safety Inspection and Road Assessment Programme
Chapter 12: Safety performance indicators
Chapter 13: Insurance data
Chapter 14: Traffic safety footprint and safe organisations
Chapter 15: Background data
Chapter 16: A brief introduction to research ethics
Chapter 17: Use of personal data and artificial intelligence-ethical and legal issues
Chapter 18: Conclusion
Chapter 2: Accident data and records
Chapter 3: Accident modelling: an overview
Chapter 4: In-depth accident investigations
Chapter 5: Healthcare data
Chapter 6: The use of self-reported data in road safety research
Chapter 7: Automated driving and safety data
Chapter 8: Naturalistic (driving/cycling/walking) studies
Chapter 9: Surrogate measures of safety: site-based observations
Chapter 10: Behavioural observations
Chapter 11: Road Safety Inspection and Road Assessment Programme
Chapter 12: Safety performance indicators
Chapter 13: Insurance data
Chapter 14: Traffic safety footprint and safe organisations
Chapter 15: Background data
Chapter 16: A brief introduction to research ethics
Chapter 17: Use of personal data and artificial intelligence-ethical and legal issues
Chapter 18: Conclusion
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traffic; safety; traffic accident; collisions; road accidents; cycling; road safety; data; transportation; road vehicles; traffic modelling; data analytics; automated driving; accident investigations
Chapter 1: Introduction
Chapter 2: Accident data and records
Chapter 3: Accident modelling: an overview
Chapter 4: In-depth accident investigations
Chapter 5: Healthcare data
Chapter 6: The use of self-reported data in road safety research
Chapter 7: Automated driving and safety data
Chapter 8: Naturalistic (driving/cycling/walking) studies
Chapter 9: Surrogate measures of safety: site-based observations
Chapter 10: Behavioural observations
Chapter 11: Road Safety Inspection and Road Assessment Programme
Chapter 12: Safety performance indicators
Chapter 13: Insurance data
Chapter 14: Traffic safety footprint and safe organisations
Chapter 15: Background data
Chapter 16: A brief introduction to research ethics
Chapter 17: Use of personal data and artificial intelligence-ethical and legal issues
Chapter 18: Conclusion
Chapter 2: Accident data and records
Chapter 3: Accident modelling: an overview
Chapter 4: In-depth accident investigations
Chapter 5: Healthcare data
Chapter 6: The use of self-reported data in road safety research
Chapter 7: Automated driving and safety data
Chapter 8: Naturalistic (driving/cycling/walking) studies
Chapter 9: Surrogate measures of safety: site-based observations
Chapter 10: Behavioural observations
Chapter 11: Road Safety Inspection and Road Assessment Programme
Chapter 12: Safety performance indicators
Chapter 13: Insurance data
Chapter 14: Traffic safety footprint and safe organisations
Chapter 15: Background data
Chapter 16: A brief introduction to research ethics
Chapter 17: Use of personal data and artificial intelligence-ethical and legal issues
Chapter 18: Conclusion
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
