10 Evaluation and Naturalistic Data Flashcards

1
Q

V-Diagram

A

** \ :**
* Crash scenarios and causation mechanisms
* User Needs & Requirements Concept of Operations
* Requirements Analysis & System Specification
* System Design

V:
* Hard- & Software Development

  • System Integration & Testing
  • Sys Verification & Development
  • Sys Validation
  • Cost-benefit analysis/ safety-benefit analysis
    /:
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2
Q

Validation vs verification

A

Verification:
* Does the system/sub-system/component satisfy requirements and regulations?
* Did we build the system correctly, according to the specs?
Validation:
* Does the system meet the operational needs of the user?
* Did we build the system so that it deliver the intended benefits?

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3
Q

Active safety evalution

A
  • all parts of an active safety system must be evaluated individually and within subsystems
  • several tools are used in the evaluation
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4
Q

Methods for active safety
evaluation (development)

A
  • Simulator (low-fidelity)
  • Simulator (high-fidelity)
  • Test-Track
  • Real-world (controlled observation)
  • Real word (FOT = Field Operational Text & NDS = Naturalistic Driving Study)
  • Counterfactual simulations
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5
Q

Simulator (low-fidelity)

A
  • duration: low
  • control: high
  • cost: low
  • validity: low
  • risk: low
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6
Q

Simulator (high-fidelity)

A
  • duration: low
  • control: high
  • cost: low/medium
  • validity: low/medium
  • risk: low
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7
Q

Test-Track

A
  • duration: middle
  • control: middle
  • cost: low/medium
  • validity: middle
  • risk: high
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8
Q

Real-world (controlled observation)

A
  • duration: middle
  • control: middle
  • cost: low/medium
  • validity: high
  • risk: highest
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9
Q

Real word (FOT = Field Operational Text & NDS = Naturalistic Driving Study)

A
  • duration: highest
  • control: low
  • cost: highest
  • validity: highest
  • risk: highest
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10
Q

Counterfactual simulations

A
  • duration: low
  • control: high
  • cost: low
  • validity: low
  • risk: low
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11
Q

We focus on naturalistic data as a tool to evaluate active safety
because

A
  • high ecological validity (genuine driver behaviour).
  • increasingly available
  • most genuine road-user behaviour.
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12
Q

Naturalistic data

A
  • Naturalistic data is big data collected in
    real-traffic (in the wild), by road users
    performing their usual daily activities.
  • Traditionally recorded from instrumented
    cars and trucks.
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13
Q

Naturalistic data (Pro/con)

A

Pro:
* Captures genuine driver behavior → High ecological validity.
* Includes behavior just before crashes → Crucial for crash causation analysis.
* Shows driver interaction with technology (e.g., ADAS, automation).
* Assesses the real impact of safety systems (requires large datasets).
* Supports virtual safety assessments of new ADAS/automation features.

Con:
* Biases (Vehicles, Drivers, Geography, Seasonal changes)
* can only prove association and not causality

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14
Q

Heinrich’s triangle in traffic safety

A
  • 1 Fatality
  • 10 Severe Injuries
  • 100 Minor Injuries
  • 1000 Property Damages
  • 2Million Near-Crashes
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15
Q

Naturalistic study - Data types

A

Objective
* Videos
* CAN (environment, driver, vehicle)
* Extra sensors (eye tracking)
* Maps (e.g. Navteq)
Subjective
* Interviews
* Diaries
* Demographics
* Annotations (manual coding of videos)

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