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Traffic And Highway Engineering
5th Edition
ISBN: 9781133605157
Author: Garber, Nicholas J., Hoel, Lester A.
Publisher: Cengage Learning,
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Chapter 12, Problem 22P
To determine
A value for the calibration constant for the bus mode that reflects this shift in mode split.
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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?
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)
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.
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
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