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Enhancing New Jersey Mobility: The aTaxi and Rail Transit Demand Synthesis Project

This project addresses New Jersey's severe commuting challenges, with the state ranking third in the nation for commute times. Aiming to reduce congestion, enhance highway safety, and improve environmental sustainability, the study focuses on ridesharing and leveraging existing NJ Transit railway infrastructure. By accurately analyzing trip generation patterns and utilizing preexisting technologies, we propose the aTaxi system—offering a more efficient, comfortable, and accessible mobility option. This comprehensive assessment will ultimately facilitate a shift towards a smarter and more sustainable transportation network.

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Enhancing New Jersey Mobility: The aTaxi and Rail Transit Demand Synthesis Project

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  1. Project description& goals The Trip Demand Synthesis Process and the aTaxi + Rail Transit Mobility Concepts By Julia Phillips Hill Wyrough

  2. The Need for Change • New Jersey has 3rd longest commute time in nation1 • Average NJ commuter in traffic over 52 hrs/yr • Average cost of NJ traffic is $8.3 billion – equivalent to $1,465 per licensed NJ driver • Total of $345 million in fuel wasted in congestion per annum 1 US Census Bureau 2005 2 NJIT 2007 – Alternative Performance measures for Evaluating Congestion 3 Ibid. 4 Ibid.

  3. Potential within aTransportation • Reduce congestion through ridesharing and greater utilization of existing NJT railway infrastructure • Reduce fuel consumption and spending, minimize environmental impact • Improve highway safety by removing human error • Create a mode of transportation superior in efficiency, comfort, and availability to existing modes

  4. aTaxi System • Autonomous Transit as a subgroup of Personal Rapid Transit • No new infrastructure • Both spatially and temporally specific • Preexisting technology • Ability to meet existing demand currently met by automobile industry as well as demand of those presently lacking access to personal transportation

  5. Goal of ORF467 aTaxi Project • To assess the potential for ridesharing in New Jersey as comprehensively as possible • Increase accuracy of data extrapolated by trip generator through continued collection of real data • Bulid upon Fall 2012’s findings regarding improved efficiency with relaxation of constraints to: • Destination pixel size (CD – common destination) • Wait times (DD – departure delays)

  6. Fall 2013 Advancements • Substantially improved employment and patronage data by: • Correcting data for major employers • Using patronage data and total sales numbers to more accurately produce employee data • Time of day data • Factored in NJ Railway Transit • Multimodal trips • Intrastate rail trips

  7. Trip Generation • Step 1: Identify population (Age/Gender/Class of Worker) • Generate number of residents per location • Uniform sampling of ages by range • Assign “traveler types” • Produce income data # people, Lat, Long

  8. Trip Generation • Step 2: Assign place of work • Assign a county > industry > employer per traveler of “work” type

  9. Trip Generation • Step 3: Assign schools • Check person’s age/education level/enrollment • Assign to Private (~15%) and Public (~84%) schools • Dormitory students attend closest University

  10. Trip Generation • Step 4: Assign activity patterns • Each resident follows a specific type of tour • Tours can consist of between 0 and 7 arcs between Home, Work, School, Other • 17 Patterns • Type determined by specific demographic data • Averages out to 3.5-4.5 daily trips per person

  11. Tour Types

  12. Assumptions • Residents located at centroid of census blocks • Uniform distribution within age intervals • All tours begin and end at home

  13. Pixelation of New Jersey • Convert New Jersey into a grid system of 0.50mi x 0.50mi pixels • Convert longitude and latitude as follows:

  14. Pixelation of New Jersey NJ State Gride Zoomed-In Grid of Mercer

  15. Pixelation of New Jersey • Locate an aTaxi stand at the center of each pixel in NJ • Any trip to within the pixel can be reasonably assumed to be served by nearest aTaxi stand • All trips within New Jersey can then be converted to trips from aTaxi stand to aTaxi stand

  16. Deep South Jersey oTrips

  17. Deep South Jersey oTrips

  18. South Jersey oTrips

  19. South Jersey oTrips

  20. Jersey Shore oTrips

  21. Jersey Shore oTrips

  22. Route 18 Corridor oTrips

  23. Route 18 Corridor oTrips

  24. Route 206 Corridor oTrips

  25. Route 206 Corridor oTrips

  26. North Western New Jersey oTrips

  27. North Western New Jersey oTrips

  28. North New Jersey oTrips

  29. North New Jersey oTrips

  30. North East New Jersey oTrips

  31. North East New Jersey oTrips

  32. Out of State oTrips

  33. Out of State oTrips

  34. Trip Type Distributions for NJ

  35. Distribution of oaTaxiTrips: Hunterdon

  36. Distribution of oaTaxiTrips: Atlantic

  37. Distribution of oaTaxiTrips: Salem

  38. Distribution of oaTaxiTrips: Sussex

  39. Distribution of oaTaxiTrips: Warren

  40. Distribution of oaTaxiTrips: Bergen

  41. Distribution of oaTaxiTrips: Cape May

  42. Distribution of oaTaxiTrips: Cumberland

  43. Distribution of oaTaxiTrips: Essex

  44. Distribution of oaTaxiTrips: Mercer

  45. Distribution of oaTaxiTrips: Hudson

  46. Mode Split Model • 3 modes • Walking/Bicycling • NJ Transit railway • aTaxis • Walking/Bicycling • Intrazonal • oPixel adjacent to dPixel • Train • All trips to/from NYC or Philadelphia • Trips originating or ending near train stations • Can be combined with aTaxi and/or walking

  47. Mode Split Model NJ Transit Rail Lines Congested Roadways NJDOT Statewide Capital Investment Strategy FY2008

  48. Geographic Distribution of oTrainTrips

  49. Geographic Distribution of ShortTrips

  50. Geographic Distribution of oaTaxiTrips

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