Analysing traffic conflicts comparing the Swedish Traffic Conflict - - PowerPoint PPT Presentation

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Analysing traffic conflicts comparing the Swedish Traffic Conflict - - PowerPoint PPT Presentation

Analysing traffic conflicts comparing the Swedish Traffic Conflict Technique and the Dutch Objective Conflict Technique for Operation and Research (DOCTOR) Aliaksei Laureshyn Lund University Maartje de Goede - TNO ICTCT, Karlsruhe, 16


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Analysing traffic conflicts – comparing the Swedish Traffic Conflict Technique and the Dutch Objective Conflict Technique for Operation and Research (DOCTOR)

ICTCT, Karlsruhe, 16 October 2014 Aliaksei Laureshyn – Lund University Maartje de Goede - TNO

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”Safety in numbers” project – TØI, Norway

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Safety in numbers

Interplay mechanisms behind SIN effects?

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Critical situation - the available space for manoeuvre is less than needed for normal reaction (Van der Horst & Kraay, 1986) Conflict - critical situation in which two (or more) road users approach each other in such manner that a collision is imminent and a realistic probability of personal injury or material damage is present if their course and speed remain unchanged

DOCTOR - Dutch Objective Conflict Technique for Operation and Research

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Conflict severity determined by:

  • Time-To-Collision (< 1.5 s) / Post-Encroachment Time (< 1 s)
  • Potential consequences (vulnerability, speed)

Severity levels: 1 (light) – 5 (very serious)

DOCTOR - Dutch Objective Conflict Technique for Operation and Research

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Swedish Traffic Conflict Technique (Hydén, 1987)

Only situations with collision course Relevant road user – the one taking an evasive action first

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Swedish TCT

Conflict severity defined by:

  • Time-to-Accident (TA) – TTC when the evasive action starts
  • Conflicting speed (CS) – speed of the relevant road user at

the moment evasive action starts

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Swedish TCT

1 2 3 4 5 6 25 50 75 100 125 10 20 30 40 50 60 70 80

Serious Conflicts Non serious Conflicts

(mph)

based on BRAKING as the primary evasive manoeuvre

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Swedish TCT

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Selection of situations

2 steps – raw filtering by students & final expert judgement Semi-automated tool for speed and time measurements 47 conflicts from 2 weeks of video (same intersection in Norway) 3 main types:

  • Cyclist against red (any directions - 13)
  • Cyclist straight – MV right (same direction – 18)
  • Cyclist straight, MV left (opposite directions – 13)

3 conflicts excluded (not fully seen)

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Selection of situations

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2 3 2 2 1 1 1 6 6 3 1 3 3 7 1 1

1 2 3 4 5 18 19 20 21 22 23 24 25 26 27 28

DOCTOR severity level Swedish TCT severity level

DOCTOR vs. Swedish TCT

Significant correlation: Spearman’s rho = .669, p < 0.05

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Lessons

Two techniques agrees very well on which situations are relevant for safety analysis Two techniques generally agree on severity ranking of the situations Understanding of the process!!! Both techniques involve subjective judgement of the observer

  • With automation, more objective criteria required

More accurate measurements from video often “surprise” the expert – e.g. what is perceived as a collision course is actually not

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Lessons

Limited area seen by camera has implications – e.g. the start of evasive action is not seen Swedish TCT is very sensitive to who takes the first evasive action

  • particularly problematic in VRU conflicts

DOCTOR accounts better for VRU problems – again through subjective “consequences”

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Lessons

Cyclists use swerving much more often to resolve a conflict – classification based on braking assumption gives weird results

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Lessons

Frequency of severe conflicts is low – same problem as accident data Validation (long term observations)!!! What is defined as traffic safety: number of accidents and/or comfort (avoidance of specific locations)?