Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

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Presentation transcript:

Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter), Cambridge Systematics, Inc. Vladimir Livshits, Maricopa Association of Governments Bill King, AirSage 1 15 th TRB National Transportation Planning Applications Conference May 17-21, 2015 Atlantic City, New Jersey

AirSage Data 2 AirSage O-D Trip Matrix 30 x 30 zones configuration Weekday (Tue, Wed and Thu) for the month of October 2013 Data divided by Resident and Visitor Data grouped by AM, MD, PM and Daily Origin_Zone: origin zone ID Destination_Zone: destination zone ID Start_Date: first day date stamp End_Date: last day date stamp Aggregation: average weekday (WD) Tuesday to Thursday Subscriber_Class: Resident/Visitor Time_of_Day: Represents the time of day (H06:H09 – 6 to 9am, H09:H14 – 9 am to 2 pm, H14:H18 – 2 to 6 pm) Count: Average weekday (Tuesday to Thursday) person trips by time of day.

Data Evaluation 3 Comparison: Total trips by TOD Trip O-D Trip length distribution Screenline Comparing AirSage (2013) to MAG travel demand model (2011) (developed from 2008 NHTS)

AirSage vs. Model (total trips) – AM 4 Blue (>= 2,000), red (<=500), white ( )

AirSage vs. Model % (trip/tot dest) – AM 5 Blue (>= 25%), red (<=1%), white (1%-25%)

Normalized Percentage (AM) [(AirSage trip – MAG TDM trip)/MAG TDM trip]*MAG TDM % Most of normalized difference within -2% to 2% range. 6

MAG Model vs. CTPP 5-year Estimates 7

 Left Chart – Origin District  Right Chart – Destination District  MAG TDM matches CTPP data in percentage of trips (district 4 and 5 and overall) 8 MAG Model vs. CTPP 5-year Estimates

AM Trips going to Phoenix downtown (101 and 102) AirSage (Green) vs. TDM (Red) 9 PM Trips leaving downtown (101 and 102) AirSage (Green) vs. TDM (Red)

AM Trips going to North Phoenix (128) AirSage (Green) vs. TDM (Red) 10 PM Trips leaving North Phoenix (128) AirSage (Green) vs. TDM (Red)

AM Trips going to Tempe (ASU) (108) AirSage (Green) vs. TDM (Red) 11 PM Trips leaving Tempe (ASU) (108) AirSage (Green) vs. TDM (Red)

Trip Length Distribution 12 AirSage Model

Screenline Comparisons 13 W to E E to W W to E E to W Screenline 1 (Salt river) Screenline 2 (43 rd Ave) ScreenLine Analysis Model vs. Count ScreenLine Name Screenline 1 Screenline 2 E to W4%5% W to E0%8%

Conclusions (1) The daily total trips matched well between AirSage and the validated travel demand model; while the number of trips by peak period varied in different parts of the region; (2) The number of trips by zones were close enough in AirSage and the model; MAG model validates well against CTPP, traffic count, and speed data per previous study. (3) The intrazonal differences are pretty significant; The AirSage data seem to capture a very low number of short-distance trips compared to the model. (4) Screenline comparison showed a good match between two, while the AirSage data was consistently higher in each peak periods. 14

Questions and Comments? Wang Zhang (MAG): Arun Kuppam(Cambridge Systematics): 15