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aTaxis: Demand Management in Middlesex County

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Presentation on theme: "aTaxis: Demand Management in Middlesex County"— Presentation transcript:

1 aTaxis: Demand Management in Middlesex County
Emily Rogers Jean Wang

2 Middlesex County Population 828,919
Pixels generating at least one oTrip 1,174 pixels Area 323 sq miles Average aTaxi Trip length 40.6 miles Median aTaxi Trip length 35.7 miles Person-Trips originating 2,944,438 Rutgers University Perth Amboy New Brunswick 63rd highest median income county Our library reserves are there

3 Density of Trips Originating in Middlesex
Densely populated metropolitan areas

4 aTaxis in Middlesex Moving with Riders
The biggest rush is from the morning and evening commutes. Large student population leads to lot more night travel and lunch trips

5 High occupancy vehicles used more for morning commute since that is the most uniform departure time

6 Cumulative Distribution of aTaxi Trip Distances
Most trips are pretty short

7 New Jersey Arrivals and Departures

8 New Jersey Arrivals and Departures

9 New Jersey Arrivals and Departures

10 New Jersey Arrivals and Departures

11 Middlesex Arrivals and Departures

12 Middlesex Arrivals and Departures

13 Middlesex Arrivals and Departures

14 Middlesex Arrivals and Departures

15 Rutgers University, New Brunswick Pixel (125,220)
Item Value Trip Miles 880,101 All activity 28,660 Home 2,544 Work 13,602 School 12,514 Work School Home (Block Centroid)

16 2 passenger vehicles

17 6 passenger vehicles

18 257,424 Number of 2 passenger vehicles needed

19 The Problems We can’t see into the future It’s a dynamic scenario
Peak hours need significantly more vehicles than any other time of day Constraints on costs No historical perspective

20 The Approach Started with a ceiling number
Cars only come back at the end of the day Start by analyzing each type of vehicle separately Predicted rush hours

21 The Next Steps Move cars from neighboring pixels
Return cars from other counties dynamically Minimize empty vehicle miles


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