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Middlesex County Analysis

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Presentation on theme: "Middlesex County Analysis"— Presentation transcript:

1 Middlesex County Analysis
Jean Wang and Emily Rogers

2 Analysis of aTaxi Demand in Middlesex County CD=3p; DD=300sec; MaxCircuity=20%
929,162 aTaxi Arrivals throughout typical “October weekday” 940 “50-passenger” aTaxi Arrivals 18,255 “20-passenger” aTaxi Arrivals 568, “6-passenger” aTaxi Arrivals 338, “2-passenger” aTaxi Arrivals 527,724 aTaxi Departures throughout typical “October weekday” 921 “50-passenger” aTaxi Departures 18,838 “20-passenger” aTaxi Departures 660, “6-passenger” aTaxi Departures 370, “2-passenger” aTaxi Departures ~125,137 aTaxis will need to be repositioned outside of Middlesex County overnight. ~ “50-passenger” aTaxis will need to be repositioned out of Middlesex County overnight ~ “20-passenger” aTaxis will need to be repositioned into Middlesex County overnight ~91, “6-passenger” aTaxis will need to be repositioned into Middlesex County overnight. ~32, “2-passenger” aTaxis will need to be repositioned into Middlesex County overnight.

3 All Vehicle Types Arrivals Departures Difference Mid1 279,191 335,285
-56,094 Mid2 246,734 251,890 -5,156 Mid3 227,259 233,120 -5,861 Mid4 172,978 230,919 -57,941 Middlesex 926,162 1,051,214 -125,052

4 2-passenger Vehicles Arrivals Departures Difference Mid1 100,802
167,709 -66,907 Mid2 86,669 67,324 19,345 Mid3 83,299 61,553 21,746 Mid4 67,528 74,250 -6,722 Middlesex 338,298 370,836 -32,538

5 6-passenger Vehicles Arrivals Departures Difference Mid1 173,149
163,056 10,093 Mid2 154,822 177,671 -22,849 Mid3 139,242 167,501 -28,259 Mid4 101,342 152,324 -50,982 Total 568,555 660,552 -91,997

6 20-passenger Vehicles Arrivals Departures Difference Mid1 4,968 4,279
689 Mid2 4,942 6,486 -1,544 Mid3 4,457 3,893 564 Mid4 3,888 4,180 -292 Total 18,255 18,838 -583

7 50-passenger Vehicles Arrivals Departures Difference Mid1 246 240 6
258 354 -96 Mid3 233 162 71 Mid4 203 165 38 Total 940 921 19

8 Overall Middlesex County Analysis

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13 Middlesex Sub-county analysis

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30 Analysis of Top Pixels

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71 Operational Plan We divided our data into 5 minute chunks
We can figure out the demand for the next 5 minutes We relocate the closest excess vehicles to the pixels that need the vehicles


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