For the data shown in the table below find AWT, ADT, AADT and AAWT.Total WeekdayNo. of Weekdaysin Month (days)22Volume (vehicle)MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecemberTotal2022222122232122222122Total Days inMonth (days)312831303130313130313031Total MonthlyVolume (vehicle)430000415000390000405000455000505000585000575000495000425000420000405000213000225000190000205000220000235000265000265000210000200000200000215000

Month No. of weekdays in a month (days) Total days in month (days) Total Monthly Volume (Vehicle)…

For the data shown in the table below find AWT, ADT, AADT and AAWT. Total Weekday No. of Weekdays in Month (days) 22 Total Days in Month (days) Volume (vehicle) 20 22 22 21 22 23 21 22 22 21 22 Month January February March April May June July August September October November December Total 31 28 31 30 31 30 31 31 30 31 30 31 Total Monthly Volume (vehicle) 430000 415000 390000 405000 455000 505000 585000 575000 495000 425000 420000 405000 213000 225000 190000 205000 220000 235000 265000 265000 210000 200000 200000 215000

For the data shown in the table below find AWT, ADT, AADT and AAWT. Total Weekday No. of Weekdays in Month (days) 22 Total Days in Month (days) Volume (vehicle) 20 22 22 21 22 23 21 22 22 21 22 Month January February March April May June July August September October November December Total 31 28 31 30 31 30 31 31 30 31 30 31 Total Monthly Volume (vehicle) 430000 415000 390000 405000 455000 505000 585000 575000 495000 425000 420000 405000 213000 225000 190000 205000 220000 235000 265000 265000 210000 200000 200000 215000

Traffic and Highway Engineering

5th Edition

ISBN:9781305156241

Author:Garber, Nicholas J.

Publisher:Garber, Nicholas J.

Chapter4: Traffic Engineering Studies

Section: Chapter Questions

Problem 11P

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Similar questions

5-4.. The following traffic count data were taken from a per- manent detector location on a major state highway. 1. 2. 3. 4. 5. Month No. of Total Total Total Weekdays Days in Monthly Weekday Volume in Month Month Volume (days) (days) (vehs) (vehs) 200,000 210,000 215,000 205,000 195,000 193,000 180,000 175,000 189,000 170,000 171,000 Jan 22 31 Feb 20 28 185,000 180,000: 172,000 168,000 160,000 150,000 -175,000 178,000 182,000 176,000 Mar 22 31 30 Apr May Jun 22 21 31 22 30 Jul 23 31 21 31 Aug Sep Oct 22 30 198,000 205,000 200,000 22 31 Nov 21 30 Dec 22 31 From this data, determine (a) the AADT, (b) the ADT for each month, (c) the AAWT, and (d) the AWT for each month. From this information, what can be dis- cerned about the character of the facility and the demand it serves?
The daily counts of the current traffic volume for a rural highway for one week of May 2000 are as shown in the following table: Sat. Sun. Mon. Tues. Wed. Thur. Fri. Day Daily volume 12000 12500 10500 11500 9500 9000 8500 The traffic is composed of 70% passenger car, 20% bus, 10% truck. The percent of future traffic to current traffic is predicted to be 180% up to May 2020. Determine the required number of lanes for this highway if the lane capacity is 1300 pc/hr.
Example: The total number of vehicles in each month are given in the table below. Find:- い همر المرسر لت 1- ADT for each month 2- AADT 365 Month 1 3 4 8 10 12 28 ADT Total No. of no. of vehicles (×1000) (00 x pda) 425 days 13.7 31 14.6 410 12.4 385 30 13.2 31 14.5 450 16.6 31 18.7 31 18.3 570 16.3 31 13.5 420 31 13.8 415 30 12.9 31 Sum
The following cross-classification data have been developed for a European city transportation study area. House Hold (HH) Autos/HH (%) Trip Rate/Auto (%) Income Trips (%) ($) High Med Low O1+2 0 1 +2 HBW HBO NHB 10,000 0 30 70 48 48 4 2.0 6.00 28.5 38 34 28 50 | 4 72| 24 2.5 7.5 30.0 38 2 53 45 20,000 30,000 40,000 50,000 50 50 00 19 81 7.5 12.0 39.0 20 50 34 28 10 70 20 4.0 9.0 33.0 35 34 31 20 75 5 1 32 57 5.5 10.5 36.0 27 35 38 37 60,000 70 30 43 40 0010 90 8.0 13.0 41.0 16 44 Develop the family of cross-classification curves and determine the number of trips produced (by purpose) for traffic zone containing 1000 houses with an average household income of $30,000. (Use high = 55,000; medium 25,000; low = 15,000.)
Consider the following plot of cumulative arriving and departing vehicles at a freeway bottleneck location: Vehicles 20,000 15,000 10,000 5,000 0 0 30 60 90 120 150 180 210 240 270 300 330 360 Time (mins) Arrivals (vehs) Departures (vehs) From this plot, determine the following: A. What is the capacity of the bottleneck location? 9000 whole number, i.e. X000.) B. What is the maximum size of the queue that develops? 3250 whole number, i.e. X000.) C. What is the longest wait time that any vehicle experiences during the breakdown? to the nearest whole number, i.e. XX.) (Hint: Provide the answer as a numerical number only in units of vehicles per hour and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of vehicles and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of minutes and rounded
A mode choice logit model is to be developed based on the following information. A surveyof travellers in an area with bus service found the following data:Model Parameter Auto BusX1, waiting time (min.) 0 10X2, travel time (min.) 20 35X3, parking time (min.) 5 0X4, out-of-pocket cost (cents) 225 100Ak, calibration constant _0.33 _0.27The following utility functions were calibrated based on an observed mode split of 84.9%private auto use and 15.1% bus use.Utility function: Uk = Ak -- 0.10 X1 - 0.13 X2 - 0.12 X3 - 0.0045 X4After implementing service improvements to the buses, the mode split changed to 81.6%private auto use and 18.4% bus use. Determine a value for the calibration constant for the busmode that reflects this shift in mode split.
Q1. The following is the number of trips and the number of households by the number of persons per household and the level of household income in a given zone. Persons/hh 1 2 3 4 5 or above Low Persons/household 1 2 3 4 5 or more No. of hh Trip No. No. of hh 93 222 149 72 341 138 59 417 125 120 1010 109 13 107 37 Income Medium The forecasted number of households in the study area for a target year is shown below. Low 120 100 90 150 30 Trip No. 616 853 1025 1186 457 High No. of hh Trip No. 96 360 27 205 33 381 40 471 33 423 Income Medium 280 220 190 180 60 High 130 40 50 70 60 (a) Calculate the forecasted number of trips for each combination of the number of persons per household and the level of household income. (b) Alternatively, trip rate can be estimated using the following linear regression equation. Trip rate=0.46+ 1.96 × NPERSON + 1.66 x HINCOME Where NPERSON = no. of persons per household (= 5 for 5 or more persons in household); HINCOME = level of household income (= 0 for low…
At a specified point on a highway, vehicles are known to arrive according to a Poissonprocess. Vehicles are counted in 30-second intervals, and vehicle counts are taken in 120 ofthese time intervals. It is noted that no cars arrive in 18 of these 120 intervals. a) Approximate the number of these 120 intervals in which exactly three cars arrive. b) Estimate the Percentage of time headways that will be 10 seconds or greater andthose that will be less than 6 seconds.
The zone production and attraction values were estimated as follows, where the values are unbalanced. Zone A B C D Production Attraction 370 100 250 350 450 260 350 300 The balanced value of # of trips attracted to Zone B equals (Report your answer correct to one digit after the decimal)
7. The following table shows traffic flow data collected at the main road in an urban area, in two successive days during the peak period Day one Flow (veh) Day two Time Flow (veh) 7:30 – 7:45 7:45 – 8:00 900 950 960 8:00 – 8:15 1010 1015 8:15 – 8:30 990 980 (a) Determine the peak hour factor (PHF) (b) Estimate the missing traffic flow count (x) on day two.
Automobile Transit 0 10 Model Parameter X₁, waiting time (min.) X₂, travel time (min.) X₁. parking time (min.) 20 35 5 0 X4, out-of-pocket cost (cents) 225 100 A. calibration constant -0.33 -0.27 B. After implementing service improvements to the mass transit, the mode split changed to 81.4% private automobile use and 18.6% mass transit use. Determine a value for the waiting time for the mass transit mode that reflects this shift in mode split.
A researcher was positioned at the side of a 2-lane rural highway. He recorded the volume of northbound traffic, aggregated into 15 minute intervals. The recorded volumes were 243, 276, 318 and 490 vehicles for the first, second, third, and fourth 15-minute intervals, respectively. Calculate the peak hour factor. Provide your answer to the nearest hundredths.