bought 50 new ambulances and to be distributed in most populated cities in the CALABARZON region. The cities are selected based on the 2010 census. Use the Jefferson's method to determine the number of ambulances Antipolo City will receive. The following table shows the population of each city. City Population City Population Antipolo 677 741 Imus 301 624 Bacoor 520 216 Lipa, Batangas 283 468 Batangas City 305 607 Lucena 266 248 Binan 283 396 San Pablo, Laguna 248 890 Cabuyao 248 436 San Pedro, Laguna 232 203 Calamba 389 377 Santa Rosa 284 670 Cavite City 101 120 Tanauan, Batangas 152 393 Dasmarinas 575 817 Trece Martirez 104 559

bought 50 new ambulances and to be distributed in most populated cities in the CALABARZON region. The cities are selected based on the 2010 census. Use the Jefferson's method to determine the number of ambulances Antipolo City will receive. The following table shows the population of each city. City Population City Population Antipolo 677 741 Imus 301 624 Bacoor 520 216 Lipa, Batangas 283 468 Batangas City 305 607 Lucena 266 248 Binan 283 396 San Pablo, Laguna 248 890 Cabuyao 248 436 San Pedro, Laguna 232 203 Calamba 389 377 Santa Rosa 284 670 Cavite City 101 120 Tanauan, Batangas 152 393 Dasmarinas 575 817 Trece Martirez 104 559

Traffic and Highway Engineering

5th Edition

ISBN:9781305156241

Author:Garber, Nicholas J.

Publisher:Garber, Nicholas J.

Chapter12: Forecasting Travel Demand

Section: Chapter Questions

Problem 17P

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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-0.5y
A Study area with four transportation analysis zones has the following information: Table 3: Trip productions and attractions for a four-zone study area and travel time between zones. Travel Time, (t) (min) Zone Trip productions Trip I 220 2 240 3 330 4 230 attractions 350 270 210 190 Table 4: Travel time versus friction factor. Time (min) 2 Friction Factor 61 1 78 from zone 1 4 9 10 6 3 47 4 37 from zone 2 5 29 5 6 7 5 6 22 from zone 3 7 17 6 8 7 6 8 14 from zone 4 9 10 8 9 11 7 10 8 Using a gravity model, determine the number of trips from zone to zone through two iterations. (Assume that the socioeconomic adjustment factor is 1.0).
2. A four zones city has two residential zones A and B, generating 725 and 575 trips, respectively. These trips go to two employment zones C and D, attracting 875 abd 425 trips respectively. The travel time, friction factors, between zones is given as Route AC AD BC BD Travel Time 8 15 10 13 Friction Factors 90 10 60 50 (a) Estimate the trips generating from A and B respectively (b) The OD survey that was performed for this city indicates that the actual number of trips on each route was as follows, AC=650, AD=75, BC-400 and BD = 175. (c) Determine the new friction factor Fij in order the replicate the actual trip movements.
A 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. 3. Total Zone 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 1 4 2. 4 8. 3. 3. 3. 5 The following table shows travel time versus friction factor. Time (min) 3 4. 6. 7 8. Friction Factor 82 52 50 41 39 26 20 13
A zone has been divided into four large districts (traffic zones). The following data has been collected for those districts. Provide a trip distribution calculation (single constrained) using the gravity model. Assume Kij = 1 (Check balancing of Tij = A after the first iteration) District 1 2 3 4 Travel Time Fij Productions 3400 6150 3900 2800 1 2.0 Attractions 2800 6500 2550 4400 4 1.6 6 1.0 1 4 11 15 10 9 10 0.9 0.86 Travel time (min) 2 3 11 15 6 6 6 6 9 11 11 12 0.82 0.80 4 10 9 11 4 15 20 0.68 0.49
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
VS Arrow Diagrams 12. Compute the values of ES, EF, LS, LF, FF, and TF for the activities in the following network. 1 i ET LT ES Mobilize 1 Activity Duration FF/TF Set up 1 3 Set up lights EF ET LT 4 3 Schedule inspection Cut pavement 4 Start traffic control 1 1 5 Make utility repairs 4 6 Inspect 2 repair Backfill and repave 3 Haul off debris 4 8 Finish work 4 245 9
A 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.
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 10
Q.find fos for the case
Suppose that the results of a peak-hour trip generation analysis for a five-zone small urban area is as follows: Trip Productions: P=11,000 P:-93,300 P=12,900 P-203,500 Ps-90,700 person-trips Trip Attractions: A,=135,800 A;-57,500 A,-80,900 A,-72,000 A;-85,200 person-trips Given the following friection factor matrix (based on travel time and cost factors) as follows: Fy Matrix To zone 2 34 0.78 0.44 0.55 0.28 0.28 From Zone 2 0.44 1.30 0.40 0.70 0.33 0.55 0.40 1.30 0.44 0.80 4 0.28 0.70 0.44 1.80 0.44 5 0.28 0.33 0.80 0.44 1.80 Calculate the expected peak-hour trip distribution from zone 2 to zone 5 (T2s =?).
10. From the following table, draw the precedence network, perform the CPM calculations, and complete the table entries, assuming interruptible activities. Activity A ABCO с Duration IPA Type Rel Lag ES 3 3526 5 2 6 LAABC А B с SS FF 3 EF LS LF TF FF "If the relationship type is not mentioned, it is finish to start (FS). If no lag is mentioned, it is zero.