Bus data study Group 2 Shikun D., Wonyong H., Luit S.

Introduction/Motivation  The goal of our project includes study and analyzes IU bus data.  We obtained the data from professor Predrag Radivojac, IU bus (Logan as representative) and IU bus website  In this presentation we will show: 1. How many people using bus data in different time 2. passenger change by month/day (in considering of semester begin, breaks, ending, drop class etc. ) 3. How snow/rain weather affect above info 4. Relation between how many people take certain bus(identified ID) and how long or how many days that bus runs 5. Which bus driver take most/least passengers (Are they over count passenger? Or less count passenger number?) 6. Which bus driver in average take most passenger (average means per hours)

Data example We have data points like this

15*(10^6) s =173.6 days

A more visible plot to out data

 According to raw data, the total operation time (include bus all travel, wait time) is seconds (about minutes or hours or 2913 days).  Filter data based on time difference  There are totally 26 busses.  If set limit to 900. Then each bus run about days during 4 months

 Average running time for each bus based on time filter

 'Max: 10:50 AM/ people'  'Min 7:50AM/6 people')  10:  mean(sum)=47.46, for 5 mins  The red line is the average

 min: 8:00 AM 2 people  max: 10:45 AM people  mean:

Mean: people Max: 9:45:00 AM people Min: 7:40 AM 4 people

 max 12:05:00 PM  Min 18:00:00 PM 0 people  mean

Per 5 min A:173 B:131 E:107 X:88 D:162(1 min)

Per 5 mins A:6 B:2 E:4 X:0 D:0(1 min)

Average Bus taking A:47 B:33 D:92 E:32 X:22 We only have a few data about D route.

% March 14 - March 22. Extreme less people, spring break % Begin and ending of semester, less passenger % weekends less passenger % Dropping class during 8/9 week % Second 8 week class start at 9 th week

% Very similar pattern % More passenger take A route at beginning of spring break % Passengers for route A > B > E % Data for D and X route unfound

%mean of passenger on rainy days: %max of passenger on rainy days: %min of passenger on rainy days: 91 %mean of passenger on all days: %max of passenger on all days: %min of passenger on all days: 91 %No severe change in passenger number on rainy days and non-rain days

Sleet

Snow data analyze  % The number of passengers who take bus on snow days is much more than other days  % 3044 more than all days, in average (27.71%)  % 3463 more than only rain days, in average (32.77%)  % Hypothesis:  % Many students who have car tend to take bus in snow weather cause their car can't run in extreme cold weather  % Low base cars (small cars) can't run in heavy snow weather. (SUVs and buses with higher base level can run)  % It is harder for people to walk in snow than rain/sunny days

% At least one rain in 30 days % 3 consecutive rainy days means: that day is rainy and previous day also rainy % Middle March and late April rainy frequently

Max: Min: 262 Mean: 37705

% Max: % Min: 0 % Mean: % std:

Missing parts are temporary employees

Driver data Analyze  % Driver K passenger per hour in average. Clocked in 9:18:00 and took 4628 passenger (May be over count passenger)  % Driver M passenger per hour in average. clocked in 225:06:00 and took 1823 passengers (May be under count passenger)  % For all drivers, there are passengers. Each driver took passenger  % in average. In sum, drives worked for 7220 hours /7220 =  % Thus, in average, drivers can take passenger during 1 hour of work.

Conclusions/Results  Each bus runs about days ( hours) during 4 months (Exclude issue time such as broken, or extreme traffic issue). Actual data show days.  Average number of passengers per 4-5 minutes: A: 47.46, B: 33.5, E: 33.1, X:  Max number of passenger Per 5 minA:173B:131E:107X:88  Min number of passenger Per 5 minsA:6B:2E:4X:0  Passengers for route A > B > E  Rainy day and normal days about same number of passengers.  Snow weather cause more people taking bus (around 28%)  Busy time: A: 8:00 AM, 10:00 AM B: 11:00 Am, 12:00 PM, E: 9:30 AM, 11:00 AM,  X: 9:00 AM, 12:00 PM, 3:00 PM. All fast come fast gone peaks.  Continues load time (less than peak but last longer) 5:00 PM, 7:00 PM.  Add more bus during above time.  In average, drivers take passenger in 1 hour of work.

Future work  Finding out who is the best driver. (Arrive bus stops on time mostly)  How temporary driver’s drive patters (counting passenger, arrive on time) different than other drivers.  Calculate bus run efficiency in different time. (Number of passenger/how many bus run at that time)

References Indiana University Campus Bus. (n.d.). Retrieved December 8, 2015, from