Massive GPS Travel Pattern Data for Urban Congestion Relief in the Twin Cities

Transcription

1 Massive GPS Travel Pattern Data for Urban Congestion Relief in the Twin Cities 27th Annual CTS Transportation Research Conference Paul Morris, PE SRF Consulting Group, Inc. November 3, 2016

2 Project Location Twin Cities

3 Project Location HOT Lane / BRT HOT Lanes

4 DATA OVERVIEW

5 Study Area

6 Trip Starts and Ends

7 Data Records Timeframe 3 months: February-April 2015 Trips Total 1,637,000 trips 800,000 Internal-to-Internal trips Waypoints 195,857,000 waypoints Average waypoints per trip: ,699,000 Internal-to-Internal waypoints Average waypoints per internal trip: 67

8 ANALYSIS PROCESS

9 Trip Filtering Process Is_Home Filter Right of Way Filter Speed Filter: Trips eliminated if instantaneous speed of first two or last two waypoints exceeded 20 mph.

10 Trip Filtering Process

11 Trip Filtering Process Remaining trips account for around 50% of total trip records Internal External Internal 296, ,364 External 176, ,335

12 Route Matching Process Goal Convert INRIX data records to a format understandable to travel demand modeling software Methodology ArcGIS NEAR function RTDM path generation Daily volume trip scaling

13 Route Matching Process ArcGIS NEAR function The waypoints of each INRIX trip were linked to segments in GIS. Then the INRIX trips were converted into a Node-to-Node format.

14 Route Matching Process Travel demand model path generation Origin Destination Multiple paths were generated for each O-D pair, and were saved as a Node-to-Node format, in order to match INRIX paths generated using GIS NEAR function.

15 Trip Scaling Procedure Trip ends scaled to estimated trip generation totals from regional model Transportation Analysis Zones (TAZ) Route data scaled to traffic flows on key segments Auto trips AADT Truck trips HCADT Auto and truck trip tables and routes combined to evaluate complete travel patterns

16 PROJECT APPLICATIONS

17 Regional Movements by Route

18 Regional Movements by Route

19 I-494 From TH 62 to TH AM Peak 94% 0% 0% 0% 0% 2% 14% 14% 17% 2% 16% 6% Legend In/Out Total Trips: 25,188 Study Segment

20 I-494 From TH 212 to TH AM Peak 54% 0% 1% 3% 0% 10% 23% 22% 17% 2% 16% 7% Legend In/Out Total Trips: 32,656 Study Segment

21 I-494 From TH 169 to TH AM Peak 35% 12% 4% 7% 0% 12% 18% 25% 15% 2% 18% 9% Legend In/Out Total Trips: 38,670 Study Segment

22 I-494 From TH 100 to I-35W - AM Peak 28% 10% 12% 8% 0% 13% 15% 30% 10% 4% 20% 12% Legend In/Out Total Trips: 44,783 Study Segment

23 I-494 From I-35W to TH 77- AM Peak 22% 8% 9% 3% 0% 20% 14% 49% 7% 4% 6% 18% Legend In/Out Total Trips: 33,380 Study Segment

24 I-494 From TH 77 to TH 5 - AM Peak 15% 4% 4% 4% 0% 29% 12% 59% 7% 3% 4% 6% Legend In/Out Total Trips: 33,174 Study Segment

25 Origin-Destination Tables Network Assignment Using Trip O-Ds Build O-D tables basing on INRIX trips starting and ending points. Scaled up INRIX trip tables. Potential DTA model input.

26 Travel Demand Model Validation I-494 from TH 100 to I-35W INRIX RTDM Model 20% 9% 14% 9% 0% 7% 22% 8% 16% 7% 0% 5% 11% 20% 14% 18% 9% 5% 15% 6% 10% 3% 16% 9% more

27 Selected Segment Travel Patterns

28 Demand Diversion Analysis 3% 2% 4% 69% 20% 1%

29 Trip End Cluster Analysis

30 Station Area Trip Patterns MN 7 14,300 Trips - Station Location

31 Station Area Trip Patterns Excelsior Blvd 22,300 Trips - Station Location

32 Station Area Trip Patterns Interlachen Rd 8,350 Trips - Station Location

33 Station Area Trip Patterns Bren Rd 34,650 Trips - Station Location

34 I-94 Minneapolis to Saint Paul Study Coverage of entire 7-county Twin Cities metro area Major increase in volume of Trips data 6.1 million trip records 513 million waypoint records

35 Trips Using I-94 Minneapolis Neighborhood/Saint Paul Precinct

36 Ramp-to-Ramp Analysis 31,000 Trips Off Ramp 47,400 Trips 10,600 Trips On Ramp 30,900 Trips On Ramp 45,500 Trips 19,300 Trips Off Ramp I-94 Mainline 97,700 Trips On Ramp Analysis Locations *Estimated 2015 Daily Volumes 10,700 Trips On Ramp Off Ramp

37 Ramp-to-Ramp Analysis 19,800 Trips (81%) 3,300 Trips (14%) 24,400 Trips On Ramp Select Link 1,300 Trips (5%) I-94 Mainline On Ramp Off Ramp *Estimated 2015 Daily Volumes

38 Ramp-to-Ramp Analysis 4,300 Trips (66%) 1,600 Trips (25%) 6,500 Trips On Ramp Select Link 600 Trips (9%) I-94 Mainline On Ramp Off Ramp *Estimated 2015 Daily Volumes

39 Ramp-to-Ramp Analysis Origin-Destination Matrix Hennepin/Lyndale Ave Off-Ramp I-394 Off Ramp I-94 NB Through Total I-94 W Through 17,400 26,100 23,300 66,800 I-35W On Ramp 1,300 3,300 19,800 24,400 4th Ave On Ramp 600 1,600 4,300 6,500 Total 19,300 31,000 47,400 97,700

40 Trip Length Comparison I-694 I-94 I-494

41 Trip Length Comparison 30% 20% 10% 0% Trip Length (miles) I-94 I-694 I-494

42 Select Link Analysis Two-way link selection 95% traffic use I % 5% traffic use I-94 Freight trips have similar travel patterns 5%

43 Passenger Vehicle Trips Between Downtown Minneapolis and Saint Paul 85% Trips use I-94 Total Daily Trips = 4,570 Downtown Minneapolis/St. Paul Zones

44 Other Applications Select Link Map Select Zone Map Trip Diversion Map Cluster analysis Dual select zone (constrain both Origin & Destination) Subarea Origin- Destination Matrices Freeway Ramp-to-Ramp Movements Regional District-to- District Patterns Trip Generation Profiles (daily, weekly, etc.) Trip Length Frequency Distribution

45 Questions? Thank You!