辅导案例-L3

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Problem Set 1
Only the first submission marked will be counted. Do not press mark until
you are ready to submit.
TfNSW is exploring options for the operation of Sydney L3 light rail transit (LRT)
system between Juniors Kingsford and Circular Quay as shown on the following
map. For the trial period, the system is supposed to run once every 10 minutes
from each terminus (endpoint). The first service departs at 6 am and the last
departure is 10 pm from both ends. The LRT averages V km/h when in operation
from one endpoint to the other, and then waits for the next departure time before
leaving to return in the other direction.

The characteristics of the network are as follows:
• Distance between stations is uniform. It is D km between two successive
stops. D comes from the SystemCharacteristics.csv file.
• Vehicle average speed is V km/h. The average speed includes
accelerations, decelerations, cruising, dwell time and traffic signals. V is in
the SystemCharacteristics.csv file.
• Direction=0 is for Kingsford services from Circular Quay, and direction=1
is for Circular Quay services from Juniors Kingsford.
Note: Your code should be able to read and extract the necessary information out
of the csv file. It will be tested against hidden alternative versions of the
SystemCharacteristics.csv file.
(a) The first task is to use your unikey to determine a case study stop based. The
structure of your unikey is a combination of four letters and four digits: "ssssdddd"
('CIVL3704' for example). Create four variables for the four digits: for CIVL3704,
D1 is 3, D2=7, D3=0 and D4 is 4). If D1 is an even number, your start point is
Circular Quay; if D1 is odd, your start point is Juniors Kingsford (eg. for D1=3, the
start point is Juniors Kingsford). Consider the D4-th station from your start point
as your case study. As described in the scaffold, update the unikey variable,
generate any new variables that are required and print the following statement
about your case study where _D4_ and _startpoint_ are replaced by your
case study variables. (10 pts)
'My case study is _D4_ station(s) away from _startpoint_.'
(b) Read in the file SystemCharacteristics.csv to obtain values for D and V. V
and D must be read from the file since your code will be tested against hidden
versions of the file. Create variables for V and D and print the following
statement where _linedistance_ and _speed_ are based on the variables D
and V. (15 points)
'The total length of line L3 is _linedistance_ km and the average
speed is _speed_ km/h.'
(c) Create a timetable of your case study stop where times are recorded as
strings with the format hh:mm and columns are labeled as the following example.
The trip_id indexes the departure number in each direction. Save the
timetable as timetable.csv. (40 points)

(d) Assume X= min(D2,D3) and Y= max(D2,D3). Write a piece of code to count
how many services arrive at the stop combining both directions between
1X:00 to 1Y:30 (eg. CIVL3704, 10:00 - 17:30). Save the value in a variable
called service_count. (20 points)
(e) How many LRT vehicles are required to maintain the schedule with 10-minute
headways in each direction? You can ignore the need for spare vehicles or
shunting time (moving the vehicles onto a different track to change directions).
Save the value in a variable called vehicles. (15 points)
You may run your notebook as many times as you like. Be mindful that the code
and comments provided in the initial scaffold are required for the marking, so do
not delete them.
When you are satisfied with your solution, save and press mark. Your mark for
the problem set is based on the first valid submission. After you receive your
mark, you will be able to resubmit in order to test changes and see how it
changes the score, but the recorded mark will be based on the initial submission.
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In submitting this work, I acknowledge I have understood the following:
• I have read and understood the University of Sydney's Academic Honesty
in Coursework Policy 2015.
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my own I have indicated this by acknowledging the source of those parts
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assessment in another unit unless I have been given permission by my
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the work may be retained for future similarity checking.
• Engaging in plagiarism or academic dishonesty will, if detected, lead to
the University commencing proceedings under the Academic Honesty in
Coursework Policy 2015 and the Academic Honesty Procedures 2016.
• Engaging another person to complete part or all of the submitted work will,
if detected, lead to the University commencing proceedings against me for
potential student misconduct under the University of Sydney (Student
Discipline) Rule 2016.

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