Traffic And Highway Engineering
5th Edition
ISBN: 9781133605157
Author: Garber, Nicholas J., Hoel, Lester A.
Publisher: Cengage Learning,
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Chapter 12, Problem 7P
To determine
The trip distribution calculation using the gravity model for two iterations.
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The Jeffersonville Transportation Study Area has been divided into four large districts (traffic zones). The following data have been collected for those districts. Provide a trip distribution calculation using the gravity model for two Assume Kij = 1.
Miami, Oklahoma has three transportation analysis zones, and origin-destination survey results. Using a spreadsheet, provide a trip distribution calculation using the gravity model. The following table shows the number of productions and attractions in each zone, as well as the socioeconomic adjustment factor.
Determine the trip distribution matrix using "Gravity Model" of transport system with
given the data:
Trip Production of Zones 1, 2 and 3, correspondingly are 500, 600, and 800 tpd
Trip Attraction of Zones 1, 2 and 3, correspondingly are 600, 700 and 600 tpd
Chapter 12 Solutions
Traffic And Highway Engineering
Ch. 12 - Prob. 1PCh. 12 - Prob. 2PCh. 12 - Prob. 3PCh. 12 - Prob. 4PCh. 12 - Prob. 5PCh. 12 - Prob. 6PCh. 12 - Prob. 7PCh. 12 - Prob. 8PCh. 12 - Prob. 9PCh. 12 - Given a table with production and attraction data,...
Ch. 12 - Given a table with production and attraction data,...Ch. 12 - Prob. 12PCh. 12 - Prob. 13PCh. 12 - Prob. 14PCh. 12 - Prob. 15PCh. 12 - Prob. 16PCh. 12 - Prob. 17PCh. 12 - Prob. 18PCh. 12 - Prob. 19PCh. 12 - Prob. 20PCh. 12 - Prob. 21PCh. 12 - Prob. 22PCh. 12 - Prob. 23PCh. 12 - Prob. 24PCh. 12 - Prob. 25PCh. 12 - Prob. 26PCh. 12 - Prob. 27PCh. 12 - Prob. 28P
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- Given the following transportation network and the production/attraction data in each zone. 3 min 3 3 min 4 min 3 min 4 min 2 min 4 min 2 7 min Production/Attraction Table Zone 1 2 3 4 5 Production 600 1000 500 Attraction 300 200 350 400 The number of trips that originates from Zone 3 and ends in Zone 1 is 13 88 29 None of the abovearrow_forwarda) Table 4 indicates an urban zone’s expected household composition at some future year and the calibrated educational-based trip rates. Estimate the total educational-based trips in terms of "y" that the urban zone will produce on a typical day in the horizon year. (A Table 4: Household composition and trip generation rates Number of motor vehicles per household Number of persons per household 1 2793 1.7y 4 5+ 2046 H. 344 2472 3092 R 0.8y 2.Зу 717 3.1x 2.4y 1022 3.1x 2.4y 726 2+ H 294 2.1x R 1.6x 3.3х H= Number of households in category R= Educational trip production rate (per household) in category x-0.5yarrow_forwardThe 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.)arrow_forward
- e) Given the household and demographic data presented in Table 1, calculate the total number of AM Peak trips produced and attracted in each of the zones in Springtown (rounded up to the nearest integer). Comment on the validity of the results. Are the values obtained consistent with the land use described in the brief? Clearly justify your response. Table 1: Current zonal household data for Springtown Zones Households Average Household Number of Household Number of Average Average Average Office Retail Space (m²) Space (m2) Income Vehicles size Workers ('000s) Per per Household Household Zone 1 9000 97.2 1.6 2.3 1.8 250000 350000 Zone 2 5000 96.7 0.9 3.3 1.9 80000 10000 Zone 3 6500 74.8 1.1 2.7 1.3 35000 25000 Zone 4 2500 69.5 1.5 2.1 1.5 10000 10000 f) In order to improve the accuracy of the trip production model, you are considering collecting data for another variable related to trip generation. Which variable would you select and why?arrow_forwardto no congestion on the road further downstream of the railway grade crossing. QUESTION 5: Consider trip distribution within 5 zones in an area. The total trip production from zone 1 is 1000. The travel times from zone 1 to zones 2, 3, 4 and 5 are 5, 10, 20, and 30 minutes, respectively. The trip attraction to zones 2, 3, 4 and 5 are 50, 200, 75, and 450, respectively. Assume that the number of trips produced from zone 1 to zones 2, 3, 4 and 5 is inversely proportional to the inter-zonal travel time. (a) Estimate the number of trips from zone 1 to zones 2, 3, 4 and 5 using the gravity model. (b) Assume that the future trip production from zone I will increase to 1,250 and the future trip attraction to zones 2, 3, 4 and 5 will increase to 100, 225, 100, and 600, respectively. Predict the number of trips from zone 1 to zones 2, 3, 4 and 5. The inter-zonal travel times remain the same. (c) Compare the number of trips from zone 1 to each destination zone between (a) and (b). Identify the…arrow_forwardThe present trip ends and travel time matrix between the zones are shown in Tables 6.75 and 6.76, respectively. Travel impendance factor between the zones may be assumed to be e-ti. The socio-economic adjustment factors between the zones may be assumed to one. Calculate the trip interchanges between the zones by using the gravity model. TABLE 6.75 Zones Trips produced Trips attracted 1 2 3 2500 3300 3200 TABLE 6.76 1 2 3 1-15 20 2 15 10 3 20 10 I 3000 4000 2000arrow_forward
- The following 3 Travel Demand Forecasting models were created to estimate the number of peak-hour trips in the suburb of Croydon: T1 = 1.0 + 0.3(household size) + 0.01(household income in thousands of $) T2 = 1.5 + 0.2(household size) + 0.01(household income in thousands of $) T3 = 0.5 + 0.5(household size) + 0.01(household income in thousands of $) The suburb has a total of 3500 households with an average of 4 people per household, an average household income of $90,000 and survey data shows that it generates a total of 11,550 trips in the peak-hour. Which of the above models is the most accurate? A. T1 B. T2 C. T3 D. Can't say as 2 or more models are equally accurate.arrow_forwardGive the correct answersarrow_forwardGive the correct answersarrow_forward
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