Assignment no 2 _CVL910- F23

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 simple work-mode-choice model is estimated from data in a small urban area to determine the probabilities of individual travelers selecting various modes. The mode choices include automobile drive-alone (DL), automobile shared-ride (SR), and bus (B), and the utility functions are estimated as: UDL = 2.2-0.2(costp)-0.03(travel timepz) USR 0.8 – 0.2(costsR) – 0.03(travel timesR) Us = -0.2(costa)- 0.01(travel time,) where cost is in dollars and time is in minutes. Between a residential area and an industrial complex, 4000 workers (generating vehicle-based trips) depart for work during the peak hour. For all workers, the cost of driving an automobile is $6.00 with a travel time of 20 minutes, and the bus fare is $1.00 with a travel time of 25 minutes. If the shared-ride option always consists of two travelers sharing costs equally, how many workers will take each mode?

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

A large residential area has 1500 households with an average household income of $15,000, an average household size of 5.2, and, on the average, 1.2 working members. Using the model below, predict the change in the number of peak hour social/recreational trips If employment in the area increased by 20% and household income by 10%. number of peak-hour vehicle-based social/recreational 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)

Problem 2 - Use of multi-nomial logit model for estimation of modal split Use a logit model to determine the probabilities of a group of 5000 work commuters choosing between three modes of travel during the morning peak hour, including Privite car, Bus and Light rail If 1450 commuters travel by bus, 950 commuters taking light rail, determine the travel time of driving private cars (T). The utility functions for the three modes are estimated using the following equations: Uc = 2.4 – 0.4C – 0.05 T Ug = 1.4 – 0.4C – 0.05T ULR= 0.4 – 0.4C– 0.05T where C = cost (£) T= travel time (minutes) For all workers: • The cost of driving is £6.00 with a travel time of T minutes • The bus fare is £2.50 with a travel time of 50 minutes The rail fare is £2.80 with a travel time of 35 minutes. where P = probability that mode m is chosen m' = index over all modes included in chosen set

A 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?

Q 02:                                                                                                               a) Explain the four types of relations between activities with examples. b) Define baseline and explain the main purpose of creating a baseline. Subject: Transportation engineering 2 lab Write to the point answers to the following questions.

A large residential area has 1500 households with an average household income of $15,000, an average household size of 5.2, and, on the average, 1.2 working members. Using the model below, predict the change in the number of peak-hour social/recreational trips if employment in the area increased by 20% and household income by 10%. number of peak-hour vehicle-based social/recreational 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) Round off final answers to whole number.

A 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?

12) List and define the 4 steps of the "4-step travel demand model" used in transportation planning.

Briefly discuss the difference between the four models of transportation. Explain how they are used in forecasting population and means of transportation that will be using different component of transportation system.

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.

Please solve this question. Subject: Transportation engineering 1 mum safety margin is 15 ft, centerline radius is 150 ft). Problem No.3 Space Requirements for a Parking Garage The owner of a parking garage located in a CBD has observed that 22 percent of those wishing to park are turned back every day during the open hours 8 a.m. to 6 p.m. because of a lack of parking spaces. An analysis of data collected at the garage indicates that 65 percent of those who park are commuters, with an average parking duration of 9 hours, and the remaining percentage are shoppers, whose average parking duration is 2 hours. If 25 percent of those who cannot park are commuters and the rest are shoppers, and a total of 220 vehicles currently park daily in the garage (i.e. parking spaces are 220), determine the number of additional spaces required to meet the excess demand. Assume parking efficiency is 0.90.

Problem- A transportation trip survey was undertaken between private car, and public car transportation. The proportion of those using private cars is 0.45. While using the public transport, the further choices available are Metro Rail and Mono Rail, out of which commuting by a Mono Rail has a proportion of 0.55. In such a situation, the choice of interest in using a Metro Rail, Mono Rail and private car would be respectively.

Answer the following questions based on your own understanding. Use your own words for answering: 1. Identify and briefly describe the two basic demand forecasting situations in transportation planning. What are the three factors that affect the demand for urban travel? Define the following terms: (a) home-based work (HBW) trips, (b) home-based other (HBO) trips, (c) non-home-based (NHB) trips, (d) production, (e) attractions, (f) origin, and (g) destination.

Answer in 2-3 Sentences: What is one benefit that a well-developed transportation system provide, and what is the role of an engineer in making it happen?

to 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…

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.

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.

QUESTION 3 a) Describe the factors affecting trip production and trip attraction in a zonal level. Explain their effects on trip generation and why. b) Describe potential travel demand management strategies which can increase average vehicle occupancy during commuter peak hours. Explain how these strategies would change travel patterns, travel time and fuel consumption. e) Explain how residential development in low-density suburban areas affects mode choice and travel distance of work trips. QUESTION 4

Identify and briefly describe the two basic demand forecasting situations in transportation planning.

I 100 3 25 300 1 Current Year IV 50 75 25 200 Future Year T[I] T[I] 250 4 400 2 150 III = 300 = 1000 T [III] = 800 T [IV] = 300 Distribute the trips for inter zonal movement based on Uniform Growth Factor Method and Detroit Method. Compare the iteration number & give your conclusion.

The following chart shows the average number of hours commuters spend in traffic delays per year at the six most congested cities in the U.S. Most Congested Cities Baltimore New York Houston Los Angeles Chicago Washington 0 10 O C OD OB Ο Α 20 30 40 50 Average Hours per Year 60 70 80 Which of the following statements is not correct? A) Houston commuters have a higher average number of hours spent per year in traffic delays when compared to New York commuters. B) Los Angeles commuters have a lower average number of hours spent per year in traffic delays when compared to Washington commuters. C) Baltimore commuters have the lowest average number of hours spent per year in traffic delays. D) Chicago commuters have the highest average number of hours spent per year in traffic delays.

A large residential area has 1400 households with an average household income of $40,000, an average household size of 4.8, and, on average, 1.5 working members. Using the model shown below (assuming it was estimated using zonal averages instead of individual households), predict the change in the number of peak-hour social/recreational trips if employment in the area increases by 25% and household income by 10%. Number of peak-hour vehicle-based social/recreational 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)

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 above

make a little research regarding the Level of Service of EDSA and create an assessment why does EDSA have that Level of Service. Pointers: Level of Service Analysis(different Level of Service use to measure the performance of a certain road or highways)

An airport runway accommodates 18 arrival flights in an hour and departure flights occur every 2.1429 minutes during normal weather season. During holidays, arrival flights are increase to 24 but on bad weather conditions, departure flights is changed to 2.727 minutes due to a decline in flight departures. Determine the queueing characteristics of the airport during these conditions.

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 =?).