Traffic and Highway Engineering
5th Edition
ISBN: 9781305156241
Author: Garber, Nicholas J.
Publisher: Cengage Learning
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Chapter 11, Problem 22P
To determine
The three potential problems with the given structure.
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The 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
2000
1. Assume that the following goals have been established for a transportation planning study.Goal 1: The transportation system should provide mobility for all segments of the population.Goal 2: The transportation system should minimize the impact on the natural environment.Define at least three objectives for each goal that could be used to achieve the stated purpose.
2. From the sketch below, calculate the interzonal trips due to 450 work trips produced at zone i. There are 750 attractions at zone 1, 400 attractions at zone 2, and 300 attractions at zone 3. The exponent of travel time is 0.6 and the travel times are 9 minutes to zone 1, 5 minutes to zone 2, and 7 minutes to zone 3. Assume all socioeconomic adjustment factors and the value of C are equal to 1.0.
In a survey in the base year, the trip attraction, number of employees and shopping area in the zones are found
as follows:
Zone
1
2
3
4
5
6
7
8
9
10
Trip attraction
(Trips/day)
34,000
33,000
37,000
9,000
19,000
20,000
50,000
22,000
21,000
5,000
Number of employees
(persons)
2000
1500
3000
500
1000
1000
3200
1800
1600
200
Shopping area (m²)
250,000
350,000
150,000
80,000
160,000
180,000
350,000
60,000
100,000
50,000
Prepare a excel worksheet to calculate the generation model by regression analysis.
Chapter 11 Solutions
Traffic and Highway Engineering
Ch. 11 - Prob. 1PCh. 11 - Prob. 2PCh. 11 - Prob. 3PCh. 11 - Prob. 4PCh. 11 - Prob. 5PCh. 11 - Prob. 6PCh. 11 - Prob. 7PCh. 11 - Prob. 8PCh. 11 - Prob. 9PCh. 11 - Prob. 10P
Ch. 11 - Prob. 11PCh. 11 - Prob. 12PCh. 11 - Prob. 13PCh. 11 - Prob. 14PCh. 11 - Prob. 15PCh. 11 - Prob. 16PCh. 11 - Prob. 17PCh. 11 - Prob. 18PCh. 11 - Prob. 19PCh. 11 - Prob. 20PCh. 11 - Prob. 21PCh. 11 - Prob. 22PCh. 11 - Prob. 23PCh. 11 - Prob. 24PCh. 11 - Prob. 25PCh. 11 - Prob. 26PCh. 11 - Prob. 27P
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- 4. The 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-tij, 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 2500 3000 2 3300 4000 3 3200 2000 TABLE 6.76 1 2 3 1 15 20 2 15 10 3 20 10arrow_forwardA small town has two residential zones, A and B producing 900 and 600 work trips respectively. Zones C, D and E are work opportunity zones attraction 900,400 and 200 trips. The travel times between the zones and actual obsrved trips are as shown in the attachment below;arrow_forwardA model for non-work related trips has been developed by the Texas Department of Transportation for Wheeler, Texas. The model is based on the number of trips per household: Number of peak-hour vehicle-based social trips per household = 0.04+0.018*(household size) + 0.009*(annual household income in thousands of dollars) + 0.16*(number of nonworking household members) For the northeast section of Wheeler, the average household has six members and an annual income of $50,000. If each household has one working member, how many peak-hour social trips are predicted?arrow_forward
- 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 tpdarrow_forwardA small town has been divided into three traffic zones. An origin-destination survey was conducted earlier this year and yielded the number of trips between each zone as shown in the table below. Travel times between zones were also determined. Provide a trip dis- tribution calculation using the gravity model for two iterations. Assume K; = 1. The following table shows the number of productions and attractions in each zone. Zone 1 2 3 Total Productions 250 450 300 1000 Attractions 395 180 425 1000 The survey's results for the zones' travel time in minutes were as follows. Zone 1 3 1 6 4 2 2 8 3 3 1 3 The following table shows travel time versus friction factor. Time (min) 1 2 4 7 8 Friction Factor 82 52 50 41 39 26 20 13 2.arrow_forwardMiami, 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.arrow_forward
- Find at least 5 Case Studies/ Projects related to transportation engineering that utilized Trip Generation, Trip Distribution, Model Split and Trip Assignment.arrow_forwardThe 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_forwardGiven 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_forward
- a) 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_forwardA study area consists of three zones. The data have been determined as shown in the following tables. Zone Productions and Attractions Zone 1 2 3 Total Trip Productions 140 330 280 750 Trip Attractions 300 270 180 750 Travel Time between zones (min) Zone 1 3 1 5 3 2 3 3 5 Travel Time versus Friction Factor Time (min) F 1 82 2 52 3 50 4 41 5 39 6 26 7 20 8 12 Determine the number of trips between each zone using the gravity model. Show all steps in the calculation of friction factors and iterations for balancing attractions and productions. 6.arrow_forwardA neighborhood has 180 households with the characteristics shown in the table below. A count model for peak-hour work trips is described in the second table. How many trips do you expect from this neighborhood?arrow_forward
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