Costos de la mercancía

FHWA Class Factors NCDOT Class

Factors Station Month DOW

C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 Pass Veh Duals TTST

Total

371805 1 1 5.67 1.26 1.68 6.62 3.11 6.62 1 16 3.94 1 2 1.25 1 1.32 3.69 4.19 1.42 371805 1 2 1.55 1.22 1.12 1.39 0.80 0.72 1 1.04 0.77 2 0.67 0.71 0.33 1.21 0.84 0.79 1.15 371805 1 3 1.70 1.21 1.08 0.87 0.84 0.72 1 0.92 0.78 0.62 1.00 0.56 0.67 1.18 0.83 0.79 1.13 371805 1 4 1.89 1.20 1.08 0.93 0.84 0.62 2 0.75 0.74 0.80 0.67 0.83 0.67 1.18 0.81 0.75 1.12 371805 1 5 1.89 1.18 1.05 0.88 0.88 0.78 2 0.77 0.74 0.73 1 0.62 1 1.16 0.87 0.74 1.10 371805 1 6 1.70 0.91 0.89 0.95 0.85 0.78 1 0.91 0.83 1 0.67 1.25 0.50 0.90 0.85 0.84 0.90 371805 1 7 8.50 1.39 1.56 4.42 2.49 3.12 2 8.00 3.15 2 4 2.50 1 1.42 2.73 3.32 1.51 371805 2 1 1.21 1.12 1.52 4.42 2.51 6.62 1 8.00 4.48 1 4 1.25 1 1.18 2.98 4.64 1.27 371805 2 2 2.00 1.23 1.09 0.88 0.92 0.80 1 0.92 0.86 1.33 1 0.83 0.67 1.20 0.90 0.87 1.16 371805 2 3 2.43 1.31 1.18 0.88 0.88 0.91 2 1.04 0.80 0.67 0.67 0.56 0.50 1.29 0.89 0.81 1.22 371805 2 4 2.12 1.19 1.03 0.83 0.81 0.79 2 0.86 0.78 0.80 1 0.62 0.40 1.16 0.81 0.78 1.11 371805 2 5 1.62 1.20 1.06 0.74 0.84 1.000.67 0.77 0.81 0.80 0.57 0.71 1 1.18 0.84 0.80 1.13 371805 2 6 1.03 0.84 0.83 0.78 0.77 0.790.67 0.92 0.86 0.89 0.80 0.83 0.67 0.84 0.77 0.87 0.84 371805 2 7 2.27 1.09 1.30 2.12 1.85 3.53 1 6.00 3.36 2.67 4 5.00 1 1.13 2.04 3.52 1.20

Creating Average Annual Daily Vehicle Traffic (AADVT)

Once the factors and seasonality ratios are checked and confirmed, the factors are applied to all available vehicle class data sets.

The data sets include partial data sets from continuous counts, short-term counts, and turning movement counts. To obtain the data sets, it is first necessary to identify all the station locations and ID numbers as well as special projects completed in the study area. All continuous count and short- term count station identifications and special project identifications are located on databases in the NCDOT Traffic Survey Unit network. Turning movement identifications from year 2000 and previous years are located on a NCDOT Traffic Survey Unit database, but the turning movement identifications after year 2000 must be looked-up from a hard copy binder located in the NCDOT Traffic Survey Unit office.

Once the data sets are identified, then the data sets must be retrieved. The turning movement count data sets are available in electronic format but continuous count data, short-term count data, and special project data are only available in paper copy. Thus, using the station ID numbers and the special project ID numbers, one must search through files located at the NCDOT archive room and at the NCDOT Traffic Survey Unit office.

Using Continuous Count Partial Data Sets

Continuous count stations include Weigh-in-Motion (WIM) stations, Long-Term Pavement Performance (LTPP) stations, and Automatic Traffic Recording (ATR) stations. All the stations collect total ADT for each year, but for this study only the stations which collect ADT for each of the thirteen vehicle classes each year are used and factored. A complete year of ADT data can be averaged directly without editing out atypical days and factoring???? to determine AADT. If the station fails to collect a complete year of data, then the data is a partial data set and must be edited and factored to before calculating an annualized value of AADT for that year.

Not all continuous count stations have complete data sets for each year. Sometimes continuous count stations are temporarily out of service due to equipment failure, repairs, and/or calibration. In the case of partial data sets, the factors are applied to data on two typical days out of the set. The vehicle class two-way volume totals (all lanes and both directions combined) for each typical day are multiplied by the corresponding factors for that month and day of week. This results in two AADT volumes. Next, the AADT volumes are averaged to get the AADT for that year. See Table 5(7?): Conversion of ADT to AADVT for the data set of Station 1803 in year 2001.

Using Short-Term Vehicle Classification Data

Short-term vehicle classification count data are collected on typical days only, usually for special projects. If an atypical traffic pattern occurs during the count, the station is recounted. A minimum of 48 hours of data is collected at each station. The FHWA classification scheme is used to count hourly traffic totals for all 13 vehicle classes by direction and by lane.

Short-term vehicle classification counts from year 1987 to 2004are available for several locations on the US 64 corridor. . The data are not in electronic format, and the paper copies are not stored in the same location. All legacy station data and data up to year 1999 are stored at the NCDOT archive room. Data from the year 2000 to 2004 are stored at the NCDOT Traffic Survey Unit office in various locations.

Short-term count data are treated like continuous count data to obtain AADT. The vehicle two-way totals (all lanes and both directions combined) for each 24-hour count are multiplied by the corresponding factors for that specific month and day of week. If only 24 hours of data exist for that year at that station, then the total vehicle classification volumes are directly multiplied by the corresponding factors. This results in the Average Annual Daily Vehicle Traffic (AADVT) for the station for that year. Where there are 48 hours of vehicle classification data, each daily vehicle total is multiplied by its corresponding factors. Then, the AADVTs for both days are averaged to get the AADVT for that year at that station. An example of this procedure can be seen in Table 5.

Table 7: Conversion of ADT to AADVT for the Dataset of Station 1803 in year 2001

Sta. Date Dr Ln Month DO_W MC Cars 2A-

4T Bus 2A- SU 3A- SU 4A- SU 4A- ST 5A- ST 6A- ST 5A- MT 6A- MT 7A- MT Total 1803 8/6/01 7 1 8 2 59 2464 591 25 157 90 1 72 270 1 3 1 0 3734 1803 8/6/01 7 2 8 2 7 687 146 7 26 6 0 12 21 0 0 0 0 912 1803 8/6/01 3 1 8 2 30 2562 594 32 142 64 0 104 225 4 2 2 1 3762 1803 8/6/01 3 2 8 2 5 680 134 3 27 5 1 16 16 0 1 1 0 889 1803 8/6/01 Total 8 2 101 6393 1465 67 352 165 2 204 532 5 6 4 1 9297 Factors 8 2 1.26 1.1 1.02 1 0.9 0.95 1 0.87 0.77 1.6 0.67 0.83 1 1.05 1803 Day 1 AADVT 127 7032 1494 67 317 157 2 177 410 8 4 3 1 9800 1803 8/7/01 7 1 8 3 44 2676 613 25 172 74 2 68 256 6 8 5 0 3949 1803 8/7/01 7 2 8 3 6 638 145 7 31 7 0 13 33 0 0 0 0 880 1803 8/7/01 3 1 8 3 45 2627 583 24 171 67 0 94 225 4 2 1 0 3843 1803 8/7/01 3 2 8 3 3 632 147 6 38 8 0 19 24 1 0 0 0 878

Using Turning Movement Counts

Turning movement data are used to supplement the continuous count data and short-term count data. Because some sections of US 64 have less than two years of vehicle count data, turning movement counts from various special projects are used to obtain enough data for trend analysis. Turning movement count data are collected at intersections on typical days only. If an incomplete count is taken, the intersection is recounted. The counts are collected in 15-minute time intervals for two eight-hour shifts. The two eight-hour counts are usually taken on different days of the week and at different times of the day. The two eight-hour counts are then projected to a 24-hour count to give ADT. One leg of the intersection includes a special NCDOT classification count along US 64 to exhibit influences natural to the intersection. The classification counts designate Duals, TTSTs, Twins and total trucks from total traffic. For this project, TTSTs and Twins are combined under the TTST classification. The eight-hour shift truck counts are projected to ADT as well.

Turning movements for the year 2000 and previous years are found from the Turning Movement Database located on the NCDOT Traffic Survey Unit network. Turning movements from year 2001 to the 2004 are not available in the Database and must be accessed from a separate location only available in hard copy format. For each turning movement count, the factors corresponding to the month and day of week with which each eight-hour count was taken are averaged. The average of the two factor sets is multiplied by the projected 24-hour total vehicle classification counts. The product is the average annual daily vehicle traffic (AADVT) for that station at that year (Table 8):

In document Estudio de factibilidad para la creación de una empresa comcercializadora de artesanias nariñenses en paja toquilla Tetera hacia el mercado internacional , ubicada en el area urbana del municipio de Ipiales (página 82-84)