The following chart shows the average number of hours commuters spend in traffic delays per year at the six most congested cities in the US. Baltimore New York Houston Los Angeles Chicago Washington 0 O C O OB Most Congested Cities A 10 20 30 40 50 Average Hours per Year 60 70 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. 80 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.

The following chart shows the average number of hours commuters spend in traffic delays per year at the six most congested cities in the US. Baltimore New York Houston Los Angeles Chicago Washington 0 O C O OB Most Congested Cities A 10 20 30 40 50 Average Hours per Year 60 70 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. 80 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.

Structural Analysis

6th Edition

ISBN:9781337630931

Author:KASSIMALI, Aslam.

Publisher:KASSIMALI, Aslam.

Chapter2: Loads On Structures

Section: Chapter Questions

Problem 1P

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It is known that 5,000 automobile trips are generated in a large residential area from 3:00 PM to 4:00 PM on Sundays for shopping purposes. If a logit model is estimated with coefficients of 0.0165 for commercial space (in thousands of ft²) and -0.5435 for distance (in miles), how many trips will be made to each of the 3 shopping centers with characteristics shown in the table below? Shopping Center 1 2 3 Distance from Commercial residential area (miles) floor space (ft²) 2.43 200,000 4.67 5.02 150,000 300,000
At time ? = 0, when the border inspection station was scheduled to open, eight vehicles were already waiting in a queue in front of an inspection booth. Vehicles continued to arrive at a rate of 4 veh/minute. The officer did not start the inspection until ? = 4 minutes. When ?≥4 minutes, the barrier was lifted and vehicles left at a rate of 7.5 veh/minute. Draw the vehicle arrival and departure curves in the following graph. From the graph, determine the maximum queue length and the time the queue disappears. Assume D/D/1 queuing.
Vehicle arrivals in an event are assumed Poisson distributed with an average arrival rate of (15.4) vehicles in every 2 minutes. What is the probability of the following: a. Exactly 14 vehicles arrive in a 2.5-minute interval. b. Less than 14 vehicles arrive in a 2.5-minute interval. c. More than 14 vehicles arrive in a 2.5-minute interval.
At a specified point on a highway, vehicles are known to arrive according to a Poisson process. Vehicles are counted in 20-second intervals, and vehicle counts are taken in 120 of these time intervals. It is noted that no cars arrive in 18 of these 120 intervals. Approximate the number of these 120 intervals in which exactly three cars arrive.
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…
A gasoline service station sees on average 27 arrivals of vehicles every one hour in the morning. The average service time is 100 seconds. If one particular bank employee leaves his house at 8:15AM and it is just 35 minute drive to a small single gas station and then a 45 minute drive to his office, what time in AM he is expected to arrive at the bank?
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Answer part B, C, and D
The time between arrivals of vehicles at a particular intersection follows an exponential probability distribution with a mean of 14 seconds. A. What is the probability that the arrival time between vehicles is 12 seconds or less (to 4 decimals)? B. What is the probability that the arrival time between vehicles is 6 seconds or less (to 4 decimals)? C. What is the probability of 30 or more seconds between vehicle arrivals (to 4 decimals)?
A certain expressway has a capacity of 3800 vehicles per hour and a jam density equivalent to 160veh/km. The daily record shows that the space mean speed of vehicles is equivalent to 69 kph. Fromthe given data, determine the time headway of vehicles in seconds
For accident statistics in table below. Comput the following: a) Rates of fatality depending on population b) Rates of PDO accidents depending on registered vehicle Fatalities: Fatal Accidents: Injury Accidents: PDO Accidents: Total Involvements: Vehicle-Miles Traveled: Registered Vehicles: Licensed Drivers: Area Population: سم الهندسة الحالية 75 60 300 2.000 4,100 1.500.000.000 100.000 150.000 300.000 10