ataxi distribution analysis of ocean and burlington counties created by ben leizman and eddie zhou
TRANSCRIPT
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aTaxi Distribution Analysis of
Ocean and Burlington Counties
Created byBen Leizman and Eddie Zhou
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Ocean County Facts
• Location: On the east coast of New Jersey• Population: 576,567 people as of 2010– 5th most populated in New Jersey and fastest
growing
Figure X) Ocean County
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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
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Pixel {156,153} Ocean County
Item Value
Activity Locations 12,323
Work 0
Residential 0
School Enrollment 12,323
Work
Residential
School Enrollment
Centroid
Ocean County College
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Pixel {156,153} Ocean County
Item Value
Activity Locations 12,323
Work 0
Residential 0
School Enrollment 12,323
Work
Residential
School Enrollment
Centroid
Ocean County College
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Pixel {152,165} Ocean County
Item Value
Activity Locations 9,916
Work 173
Residential 3,278
School Enrollment 6,465
Work
Residential
School Enrollment
Centroid
Lakewood High, Ella G. Clarke School
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Pixel {152,165} Ocean County
Item Value
Activity Locations 9,916
Work 173
Residential 3,278
School Enrollment 6,465
Work
Residential
School Enrollment
Centroid
Lakewood High, Ella G. Clarke School
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Pixel {152,145} Ocean County
Item Value
Activity Locations 6,221
Work 4,571
Residential 118
School Enrollment 1,532
Work
Residential
School Enrollment
Centroid
Township of Tom’s River
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Pixel {152,145} Ocean County
Item Value
Activity Locations 6,221
Work 4,571
Residential 118
School Enrollment 1,532
Work
Residential
School Enrollment
Centroid
Township of Tom’s River
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Ocean County Trips
Fig X) Interquartile Range for Ocean County Trip Distance
Min 1st Quartile Median Mean 3rd Quartile Max
1.0 5.701 16.28 20.0 31.67 112.60
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Ocean County Trip Times
Fig X) Interquartile Range for Length of Ocean County Trips
Min 1st Quartile Median Mean 3rd Quartile Max
1.009 12.170 32.480 40.2 63.13 390.0
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Ocean County All Persons Traveling CDF
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Ocean County All Vehicles Traveling CDF
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Ocean County 2 Person Vehicles Traveling CDF
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Ocean County 6 Person Vehicles Traveling CDF
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Ocean County 20 Person Vehicles Traveling CDF
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Ocean County 50 Person Vehicles Traveling CDF
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Ocean County 200 Person Vehicles Traveling CDF
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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
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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
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Pixel {104,147} Burlington County
Item Value
Activity Locations 9,679
Work 171
Residential 201
School Enrollment 9,679
Work
Residential
School Enrollment
Centroid
Buttonwood Hospital, Aspen Hills Healthcare
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Pixel {104,147} Burlington County
Item Value
Activity Locations 9,679
Work 171
Residential 201
School Enrollment 9,679
Work
Residential
School Enrollment
Centroid
Buttonwood Hospital, Aspen Hills Healthcare
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Item Value
Activity Locations 7,016
Work 5,991
Residential 1,025
School Enrollment 0
Work
Residential
School Enrollment
Centroid
Pixel {89,149} Burlington County McDonalds, Burger King, Whitehall Apts.
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Item Value
Activity Locations 7,016
Work 5,991
Residential 1,025
School Enrollment 0
Work
Residential
School Enrollment
Centroid
Pixel {89,149} Burlington County McDonalds, Burger King, Whitehall Apts.
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Item Value
Activity Locations 5,805
Work 487
Residential 285
School Enrollment 5,033
Work
Residential
School Enrollment
Centroid
Pixel {73,134} Burlington County Cherokee High, Marlton Middle & Elementary
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Item Value
Activity Locations 5,805
Work 487
Residential 285
School Enrollment 5,033
Work
Residential
School Enrollment
Centroid
Pixel {73,134} Burlington County Cherokee High, Marlton Middle & Elementary
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Burlington County Trips
Fig X) Interquartile Range for Burlington Trip Distance
Min 1st Quartile Median Mean 3rd Quartile Max
1.0 6.727 15.21 20.36 33.5 111.1
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Burlington County Trip Times
Fig X) Interquartile Range for Length of Burlington Trips
Min 1st Quartile Median Mean 3rd Quartile Max
1.001 13.590 30.340 40.560 66.25 351.9
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Burlington County All Persons Traveling CDF
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Burlington County All Vehicles Traveling CDF
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Burlington County 2 Person Vehicles Traveling CDF
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Burlington County 6 Person Vehicles Traveling CDF
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Burlington County 20 Person Vehicles Traveling CDF
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Burlington County 50 Person Vehicles Traveling CDF
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Burlington and Ocean County aTaxi Trips Comparison
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Burlington and Ocean County aTaxi Trip Times Comparison
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Burlington County Expected Vehicle Occupancy (EVO)
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Ocean County Expected Vehicle Occupancy (EVO)
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Item Oce1 Oce2 142,700
Daily Arrival 311,938 142,700 454,638
Daily Departure 280,551 235,486 516,037
Daily Total Imbalance 31,387 -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 -3,109 272
Ocean County Imbalance
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Item Bur1 Bur2 Total
Daily Arrival 298,713 301,856 600,569
Daily Departure 309,514 276,618 586,132
Daily Total Imbalance -10,801 25,238 14,437
Daily 2 Passenger Imbalance -32,830 217 -32,613
Daily 6 Passenger Imbalance 20,855 1,135 21,990
Daily 20 Passenger Imbalance 911 6,007 6,918
Daily 50 Passenger Imbalance 242 16,595 16,837
Daily Huge Vehicle Imbalance 21 1,283 1,304
Burlington County Imbalance
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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