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Lecture 17: Measurement of Road Safety

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Title: Lecture 17: Measurement of Road Safety


1
Highway Traffic and Safety Analyses
Lecture 17 Measurement of Road Safety
Purdue University School of Civil
Engineering West Lafayette
2
Measurement of Road Safety
  • Traffic records system
  • Crashes underreporting
  • Crash counts vs. crash rates
  • Statistical properties of crash counts
  • Confidence interval of crash frequency estimate
  • Pyramid of traffic events

3
Traffic Records Systemhttp//www.dottrcc.gov/
  • Crash File with data on the time, environment,
    and circumstances of a crash identification of
    the vehicles, drivers, cyclists, occupants, and
    pedestrians involved and documentation of crash
    consequences (fatalities, injuries, property
    damage and violations charged) with the data tied
    to a location reference system. Report form
    (show).
  • Commercial Motor Vehicle Crash File which uses
    uniform data definitions and collects information
    on the vehicle configuration, cargo body type,
    hazardous materials, information to identify the
    motor carrier, as well as information on the
    crash (States are encouraged to use available
    information systems to cross-reference commercial
    vehicle citations for violations of Federal and
    State commercial vehicle safety regulations).
  • Roadway File with information about roadway
    location, identification, and classification as
    well as a description of a road's total physical
    characteristics, which are tied to a location
    reference system. This file should also contain
    data for normalizing purposes, such as miles of
    roadway and annual average daily traffic (AADT).

4
Traffic Records System
  • Emergency Medical Services (EMS) file with
    emergency care and victim outcome information
    about ambulance responses to crashes, e.g.,
    emergency care unit, care given, injury data, and
    times of EMS notification and arrival
    information on emergency facility and hospital
    care, including Trauma Registry data and medical
    outcome data relative to crash victims receiving
    rehabilitation and for those who died as the
    result of the crash.
  • Citation/Conviction File which identifies the
    type of citation and the time, date, and location
    of the violation the violator, vehicle and the
    enforcement agency and adjudication action and
    results, including court of jurisdiction (an
    Enforcement/Citation File could be maintained
    separate from a Judicial/Conviction File) and
    fines assessed and collected.

5
Traffic Records System
  • Driver File or driver history record of licensed
    drivers in the State, with data on personal
    identification and driver license number, type of
    license, license status (suspended or revoked),
    driver restrictions, driver convictions for
    traffic violations, crash history, driver control
    or improvement actions, and safety education
    data.
  • Vehicle File with information on identification,
    ownership and taxation, and vehicle inspection
    (where applicable).

6
Traffic Records System
  • ! Provisions for file linkage through common data
    elements between the files or through other
    consistent means performance level data as part
    of the traffic records system demographic data
    to normalize or adjust for exposure when
    analyzing the various data in the files and
    provisions for the use of cost data relative to
    amounts spent on countermeasure
    programs and the costs of fatalities, injuries
    and property damage.

7
Underreporting of CrashesHauer and Hakkert,
Extent and some Implications of Incomplete
Accidents Reporting, Transportation Research
Record 1185
8
Crash-based Measures of Safety
  • Annual crash counts c1, c2cn
  • Estimate of crash frequency (expected annual
    count)
  • Expected crash rate a / Exposure
  • Exposure annual volume, annual VMT, etc.

9
Crash Counts vs. Crash Rates
Crash Rate BEFORE
Crash Rate AFTER
Crashes
VMT
10
Statistical Properties of Crash Counts
Poisson variability of annual counts
11
Gamma distribution
0.05
0.05
au
al
12
Confidence Interval of Frequency
EstimateGamma-based Estimation
90 confidence interval
13
Confidence Interval of Frequency
EstimateGamma-based Estimation
  • c 10 crashes, n 3 years,
  • 90 confidence level
  • Expected crash frequency
  • a c/n10/3 3.33 crashes/year
  • Lower limit of the expected crash frequency
  • al GAMMAINV(0.05, 10, 1/3)
  • al GAMMAINV (0.05, 10, 0.33) 1.81
    crashes/year
  • Upper limit of the expected crash frequency
  • au GAMMAINV (0.95, 10, 1/3)
  • au GAMMAINV (0.95, 10, 0.33) 5.24
    crashes/year

14
Confidence Interval of Frequency Estimate
Nicholson, The Estimation of Accident Rates and
Countermeasure Effectiveness, Traffic Engineering
and Control, October 1987, pp. 518-523
a3.3n 1
15
Confidence Interval of Frequency Estimate
Nicholson, The Estimation of Accident Rates and
Countermeasure Effectiveness, Traffic Engineering
and Control, October 1987, pp. 518-523
a3.3n 3
16
Confidence Interval of Frequency Estimate
Nicholson, The Estimation of Accident Rates and
Countermeasure Effectiveness, Traffic Engineering
and Control, October 1987, pp. 518-523
a3.3n 5
17
Confidence Interval of Frequency Estimate
Nicholson, The Estimation of Accident Rates and
Countermeasure Effectiveness, Traffic Engineering
and Control, October 1987, pp. 518-523
a3.3n 10
18
Normal
Poisson
Mean 1.8
Mean 27.0
19
Confidence Interval of Frequency EstimateNormal
Approximation
20
Confidence Interval of Frequency EstimateNormal
Approximation
  • Normal distribution
  • c total crash count during n years
  • al lower bound of the confidence interval for
    the mean
  • au upper bound of the confidence interval for
    the mean
  • 100k confidence level

21
Confidence Interval of Frequency EstimateNormal
Approximation Example
  • c 10 crashes, n 3 years,
  • 90 confidence level, k 0.90
  • Expected crash frequency
  • a c/n10/3 3.33 crashes/year
  • Lower limit of the expected crash frequency
  • al NORMINV(0.05, 10/3, 101/2/3)
  • al MORMINV(0.05, 3.33, 1.05) 1.60
    crashes/year
  • Upper limit of the expected crash frequency
  • au NORMINV(0.95, 10/3, 101/2/3)
  • au MORMINV(0.95, 3.33, 1.05) 5.07
    crashes/year

22
Confidence Interval of Frequency
EstimateComparison
  • c 10 crashes, n 3 years,
  • 90 confidence level

23
Confidence Interval of Crash Rate
  • Estimate the confidence interval of crash
    frequency
  • Convert the interval limits to crash rates
  • Assumption negligible error of exposure estimates

24
Pyramid of Traffic Events
25
Indiana Police Crash Report Form Full form Back
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