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Archived Data Management System. Study Advisory Committee Meeting May 14, 2003. Preliminary Data Analysis. 2002 AADT Estimation TRIMARC ARTIMIS. Procedure. Data extraction and screening Applied quality check criteria used in mobility monitoring study by TTI

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Archived data management system

Archived Data Management System

Study Advisory Committee Meeting

May 14, 2003


Preliminary data analysis
Preliminary Data Analysis

2002 AADT Estimation

  • TRIMARC

  • ARTIMIS


Procedure
Procedure

  • Data extraction and screening

    Applied quality check criteria used in mobility monitoring study by TTI

    Problem encountered: The rounding of occupancy in the segment file created problems. Potential solution: Eliminating the vehicle length criteria


Procedure cont d
Procedure (cont’d)

  • Summarize 15min volume to hourly volume

    • If there are at least 2 15min records, calculate hourly volume by adding or extrapolating;

    • Otherwise, mark hourly volume as missing/null.


Procedure cont d1
Procedure (cont’d)

  • Summarize hourly volume to daily volume

    • If there are 24 hourly volume records for a day, add them.

    • If there are 18-23 hourly volume records for a day, impute the hourly volumes for those “missing” hours based on hourly distribution at the same site throughout the year, and then add them.

    • Otherwise, mark the day as missing/null.


Procedure cont d2
Procedure (cont’d)

  • For each site, screen out daily volumes on those days of week based on ±1.5σ from the day-of-week mean.

  • Calculate day-of-week volume distribution using yearly average for each day of week.


Procedure cont d3
Procedure (cont’d)

  • Calculate AADT using the AASHTO formulation (I)

    where:

  • VOL = daily traffic for day k, of day-of-week i, and month j

  • i = day of the week

  • j = month of the year

  • k = 1 when the day is the first occurrence of that day of the week in a month, 4 when it is the fourth day of the week.

  • n = the number of days of that day of the week during that month (usually between 1 and 5, depending on the number of missing data).









Alternative methods
Alternative Methods

  • Calculate Monthly ADT (MADT) and multiply it with the monthly factor to get AADT (II)

  • Estimate MADT using two-week’s of “good” data (with minimum 15min records marked as missing/null) and multiply it with the monthly factor to get AADT (III)


2003 monthly factor division of planning kytc
2003 Monthly Factor (Division of Planning, KYTC)














Observations
Observations

  • Data availability varied by sites in 2002.

  • The rounding of occupancy data may have caused large amount of data being screened out by vehicle length criteria, which were hence dropped when processing ARTIMIS data.


Observations cont d
Observations (cont’d)

  • Generally, the AADT estimates obtained from method II are closer to the State figure when more valid days are present for a month.

  • Significant differences exist between AADT estimates obtained using monthly factors for all week, weekday, and weekend (method III).


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