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ATaxi Distribution Analysis of Ocean and Burlington Counties Created by Ben Leizman and Eddie Zhou.

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Presentation on theme: "ATaxi Distribution Analysis of Ocean and Burlington Counties Created by Ben Leizman and Eddie Zhou."— Presentation transcript:

1 aTaxi Distribution Analysis of Ocean and Burlington Counties Created by Ben Leizman and Eddie Zhou

2 Ocean County Facts Location: On the east coast of New Jersey Population: 576,567 people as of 2010 – 5 th most populated in New Jersey and fastest growing Figure X) Ocean County

3 Ocean County Arrival and Departure Analysis 1,262,382 person trips per day 42,599 (3.37%) travelers that originated in Ocean County are traveling at midnight A high of 161,007 (12.75%) travelers that originated in Ocean Country are traveling at 7:56 am A low of 9,144 (0.72%) travelers that originated in Ocean County are traveling at 4:53 am

4 Pixel {156,153} Ocean County ItemValue Activity Locations12,323 Work0 Residential0 School Enrollment12,323 Work Residential School Enrollment Centroid Ocean County College

5 Pixel {156,153} Ocean County ItemValue Activity Locations12,323 Work0 Residential0 School Enrollment12,323 Work Residential School Enrollment Centroid Ocean County College

6 Pixel {152,165} Ocean County ItemValue Activity Locations9,916 Work173 Residential3,278 School Enrollment6,465 Work Residential School Enrollment Centroid Lakewood High, Ella G. Clarke School

7 Pixel {152,165} Ocean County ItemValue Activity Locations9,916 Work173 Residential3,278 School Enrollment6,465 Work Residential School Enrollment Centroid Lakewood High, Ella G. Clarke School

8 Pixel {152,145} Ocean County ItemValue Activity Locations6,221 Work4,571 Residential118 School Enrollment1,532 Work Residential School Enrollment Centroid Township of Tom’s River

9 Pixel {152,145} Ocean County ItemValue Activity Locations6,221 Work4,571 Residential118 School Enrollment1,532 Work Residential School Enrollment Centroid Township of Tom’s River

10 Ocean County Trips Fig X) Interquartile Range for Ocean County Trip Distance Min1 st QuartileMedianMean3 rd QuartileMax 1.05.70116.2820.031.67112.60

11 Ocean County Trip Times Fig X) Interquartile Range for Length of Ocean County Trips Min1 st QuartileMedianMean3 rd QuartileMax 1.00912.17032.48040.263.13390.0

12 Ocean County All Persons Traveling CDF

13 Ocean County All Vehicles Traveling CDF

14 Ocean County 2 Person Vehicles Traveling CDF

15 Ocean County 6 Person Vehicles Traveling CDF

16 Ocean County 20 Person Vehicles Traveling CDF

17 Ocean County 50 Person Vehicles Traveling CDF

18 Ocean County 200 Person Vehicles Traveling CDF

19 Burlington County Facts Location: On the west border of New Jersey, to the west of Ocean County Population: 448,734 people as of 2010 Figure 2) Burlington County

20 Burlington County Arrival and Departure Analysis 1,416,580 person trips per day 68,877 (4.86%) travelers that originated in Burlington County are traveling at midnight A high of 153,174 (10.81%) travelers that originated in Burlington Country are traveling at 8:25 pm A low of 11,632 (0.82%) travelers that originated in Burlington County are traveling at 5:45 am

21 Pixel {104,147} Burlington County ItemValue Activity Locations9,679 Work171 Residential201 School Enrollment9,679 Work Residential School Enrollment Centroid Buttonwood Hospital, Aspen Hills Healthcare

22 Pixel {104,147} Burlington County ItemValue Activity Locations9,679 Work171 Residential201 School Enrollment9,679 Work Residential School Enrollment Centroid Buttonwood Hospital, Aspen Hills Healthcare

23 ItemValue Activity Locations7,016 Work5,991 Residential1,025 School Enrollment0 Work Residential School Enrollment Centroid Pixel {89,149} Burlington County McDonalds, Burger King, Whitehall Apts.

24 ItemValue Activity Locations7,016 Work5,991 Residential1,025 School Enrollment0 Work Residential School Enrollment Centroid Pixel {89,149} Burlington County McDonalds, Burger King, Whitehall Apts.

25 ItemValue Activity Locations5,805 Work487 Residential285 School Enrollment5,033 Work Residential School Enrollment Centroid Pixel {73,134} Burlington County Cherokee High, Marlton Middle & Elementary

26 ItemValue Activity Locations5,805 Work487 Residential285 School Enrollment5,033 Work Residential School Enrollment Centroid Pixel {73,134} Burlington County Cherokee High, Marlton Middle & Elementary

27 Burlington County Trips Fig X) Interquartile Range for Burlington Trip Distance Min1 st QuartileMedianMean3 rd QuartileMax 1.06.72715.2120.3633.5111.1

28 Burlington County Trip Times Fig X) Interquartile Range for Length of Burlington Trips Min1 st QuartileMedianMean3 rd QuartileMax 1.00113.59030.34040.56066.25351.9

29 Burlington County All Persons Traveling CDF

30 Burlington County All Vehicles Traveling CDF

31 Burlington County 2 Person Vehicles Traveling CDF

32 Burlington County 6 Person Vehicles Traveling CDF

33 Burlington County 20 Person Vehicles Traveling CDF

34 Burlington County 50 Person Vehicles Traveling CDF

35 Burlington and Ocean County aTaxi Trips Comparison

36 Burlington and Ocean County aTaxi Trip Times Comparison

37 Burlington County Expected Vehicle Occupancy (EVO)

38 Ocean County Expected Vehicle Occupancy (EVO)

39 ItemOce1Oce2142,700 Daily Arrival311,938142,700454,638 Daily Departure280,551235,486516,037 Daily Total Imbalance31,387-92,786-61,339 Daily 2 Passenger Imbalance 11-586-575 Daily 6 Passenger Imbalance 788-6,266-5,478 Daily 20 Passenger Imbalance 15,984-36,685-20,701 Daily 50 Passenger Imbalance 11,223-46,141-34,918 Daily Huge Vehicle Imbalance 3,381-3,109272 Ocean County Imbalance

40 ItemBur1Bur2Total Daily Arrival298,713301,856600,569 Daily Departure309,514276,618586,132 Daily Total Imbalance-10,80125,23814,437 Daily 2 Passenger Imbalance -32,830217-32,613 Daily 6 Passenger Imbalance 20,8551,13521,990 Daily 20 Passenger Imbalance 9116,0076,918 Daily 50 Passenger Imbalance 24216,59516,837 Daily Huge Vehicle Imbalance 211,2831,304 Burlington County Imbalance

41 Empty Vehicle Reallocation Analysis Dataframe for aTaxis, N long (state, origX, origY, destX, destY, endTime) What is each aTaxi doing? Advance a loop by 0.1 seconds, and consider: Are there departing trips that need to be carried out (e.g. matching departure time in departure dataframe)? If so, check if we can use a foreign aTaxi (by looking at the arrival dataframe, backwards 10 minutes at the pixel we want) If we can’t use a foreign aTaxi, deploy one of our own aTaxis If we have none left, STOP  we need more aTaxis to operate Are there arriving trips that we can take advantage of (e.g. matching departure time in arrival dataframe)? Check if any of our aTaxis are at that foreign pixel Are there any aTaxis that need to be updated? Switch traveling to waiting Switch waiting to repositioning

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