Traffic and Highway Engineering
5th Edition
ISBN: 9781305156241
Author: Garber, Nicholas J.
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 12, Problem 22P
To determine
A value for the calibration constant for the bus mode that reflects this shift in mode split.
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
A mode choice logit model is to be developed based on the following information. A surveyof travellers in an area with bus service found the following data:Model Parameter Auto BusX1, waiting time (min.) 0 10X2, travel time (min.) 20 35X3, parking time (min.) 5 0X4, out-of-pocket cost (cents) 225 100Ak, calibration constant _0.33 _0.27The following utility functions were calibrated based on an observed mode split of 84.9%private auto use and 15.1% bus use.Utility function: Uk = Ak -- 0.10 X1 - 0.13 X2 - 0.12 X3 - 0.0045 X4After implementing service improvements to the buses, the mode split changed to 81.6%private auto use and 18.4% bus use. Determine a value for the calibration constant for the busmode that reflects this shift in mode split.
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?
What is the 85th percentile speed and why is it important to
the transportation engineers? With the data provided in the table
below, plot the cumulative frequency curve on a graph in the next
page and determine the 85th percentile speed.
10.
Table: Spot Speed Dataset of a freeway road section
Spot Speed of Frequency of
Vehicles (mph)
Vehicles (n)
60
61
2
62
6.
63
7
64
24
65
45
66
30
67
12
68
4
69
4
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
Knowledge Booster
Similar questions
- Consider the following plot of cumulative arriving and departing vehicles at a freeway bottleneck location: Vehicles 20,000 15,000 10,000 5,000 0 0 30 60 90 120 150 180 210 240 270 300 330 360 Time (mins) Arrivals (vehs) Departures (vehs) From this plot, determine the following: A. What is the capacity of the bottleneck location? 9000 whole number, i.e. X000.) B. What is the maximum size of the queue that develops? 3250 whole number, i.e. X000.) C. What is the longest wait time that any vehicle experiences during the breakdown? to the nearest whole number, i.e. XX.) (Hint: Provide the answer as a numerical number only in units of vehicles per hour and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of vehicles and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of minutes and roundedarrow_forward1. A transportation engineering study was conducted to determine the proper design of bike lanes. Data were gathered on bike - lane widths and average distance between bikes and passing cars. (Use three decimal places) The data from 9 streets are: Distance 2.4 1.5 2.4 1.8 1.8 2.9 1.2 3 1.2 (m) Lane Width 2.9 2.1 2.3 2.1 1.8 2.7 1.5 2.9 1.5 (m) a. Manually plot the data (draw to scale) b. Fit a straight line to the data with linear regression. Add this line to the plot.arrow_forwardA convenience store has four available parking spaces. The owner predicts that the duration of customer shopping (the time the customer's vehicle will occupy a parking space) is exponentially distributed with a mean of 6 minutes. The owner knows that in the busiest hour customer arrivals are exponentially distributed with a mean arrival rate of 30 customers per hour. What is the probability that a customer will not have an open parking space available when arriving at the store? Round off answer in four decimal places.arrow_forward
- 1. A transportation engineering study was conducted to determine the proper design of bike lanes. Data were gathered on bike - lane widths and average distance between bikes and passing cars. (Use three decimal places) The data from 9 streets are: Distance 2.4 1.5 2.4 1.8 1.8 2.9 1.2 3 1.2 (m) Lane Width 2.9 2.1 2.3 2.1 1.8 2.7 1.5 2.9 1.5 (m) c. If the minimum safe average distance between bikes and passing cars is considered to be 1.8m, determine the corresponding minimum lane width. d. Using the same data, determine the equation of the best fit 2nd degree curvearrow_forwardIt 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 5.02 150,000 300,000arrow_forwardProblem 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 setarrow_forward
- Match each item to a choice: It is a well known method to study the manner in which drivers move into a priority area where they must give way to other road users. Defined as the gap for which the number of accepted gaps shorter than it is equal to the number of rejected gaps longer than it It is a measure of the time between the rear bumper of the first vehicle and the front bumper of the second vehicle Two or more road users are about to occupy the same location at the same time, if their movements remain unchanged. It refers to the methods and measures used to prevent road users from being klled or seriously injured. The road user who took an evasive action first. It is the span between the mament the first traffic participant leaves the course of the second traffic participant and the second traffic porticipant enters the previous course of the first one. Defined at the moment when one of the road users start taking an evasive action It is defined as the time needed for a…arrow_forwardPoisson Distribution – Vehicle Arrival - If we counted the number of vehicles that arrived at a stop sign every 20 seconds. Let's say, for simplicity, we counted vehicles for 1,000 twenty-second intervals Observed • What is the average arrival rate? • What is the probability of 1 vehicle arriving? Frequency (Number of Number of Relative Vehicles Frequency 20-sec Intervals) 135 271 271 180 90 0.135 (13.5% 0.271 (27.1%) 0.271 (27.1%) 0.180 (18.0%) 0.090 (9.0%) 0.053 (5.3%) 1.00 (100.0%) 2 3. 4 53 1,000 5. TOTALarrow_forwardThe T-intersection has 1,746 collision incidents over the last three years. Determine the accident rate of the intersection. 18,450 2,800 54 Use the editor to format your answer 28,900 ⠀arrow_forward
- The data in the table on the right were obtained from a survey. Apply the license plate matching method to estimate the average travel time.arrow_forwardExponential distribution. The time between arrivals of vehicles at a particular intersection follows an exponential probability distribution with a mean of 10 seconds. What is the probability of 30 or more seconds between vehicle arrivals?arrow_forwardQ1. 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…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Traffic and Highway EngineeringCivil EngineeringISBN:9781305156241Author:Garber, Nicholas J.Publisher:Cengage Learning
Traffic and Highway Engineering
Civil Engineering
ISBN:9781305156241
Author:Garber, Nicholas J.
Publisher:Cengage Learning