Evaluating Last Mile Freight Traffic using GPS Probe Data Gary Carlin, PE, PMP, PTP INRIX, Inc.
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1 Evaluating Last Mile Freight Traffic using GPS Probe Data Gary Carlin, PE, PMP, PTP INRIX, Inc.
2 Agenda Last Mile Delivery Facts and Trends How INRIX Collects the Data -- What the Data Looks Like How to Make Use of Big Data Visualizations Analytics Conclusions
3 Last Mile Freight Delivery - The Facts Cost of global parcel delivery (excluding pickup, line-haul, and sorting) amounts to about 70 billion ($82 billion US) Biggest driver of this growth is e-commerce, which has shifted market share from the B2B to B2C Two-Day delivery now the new normal expectation (thanks Amazon!) Sources: Honeywell, McKinsey & Company, 2016
4 Last Mile Freight Delivery - The Facts Same-Day / Instant delivery will likely reach a combined share of 20% - 25% of the market by 2025 Growth of third party logistics providers (3PLs) - offering last mile delivery New tech players in the last mile delivery Game: Walmart, Google, Uber, Instacart, TaskRabbit, etc. Source: McKinsey & Company, 2016 Source: Sourcelink.com
5 We are Driving these Trends 38% of consumers will not purchase from a retailer following a bad delivery experience 28% of online shoppers will abandon their purchase if shipping costs appear excessive 72% of consumers make repeat purchases based on on-time deliveries 61% of U.S. users would pay to receive same day deliveries Sources: Small Business Trends, Retail TouchPoints, emarketer, Logistics Bureau, Wharton School of Business
6 The Future of Deliveries? Sources: Michelin, UPS, Minipakr, McKinsey & Co.
7 The INRIX Crowd-Sourced Traffic Community G C S S T V S G C C Flow T V C Road sensor S Traffic camera T Commercial Vehicle GPS Probe C Consumer Vehicle GPS Probe V GPS-Enabled Smartphone Probe G Cellular Network Probe N N D G D!! Incidents N Driver Generated Report D Accident! Construction! Event
8 Trip Records Delivered in a.zip file Three file types TripRecordsReportProviderDetails Meta-data about Data Suppliers TripRecordsReportFile Anonymous Origin/Destination and Summary for each trip TripRecordsReportWaypoints All associated anonymous waypoint data ( breadcrumbs ) along path of each specific trip 6 files total (includes header) Sample Output
9 INRIX Trips with Waypoints A Comparison Time Period New York City One Day: Oct Texas-Mexico Border One Week: 4/2/17-4/8/17 City of San Diego One Week: 4/3/17-4/9/17 City of Los Angeles One Day: July 2017 Total Trips 592, , , ,552 Passenger Trips 154,048 26% 185,011 28% 478,278 69% 389,968 61% Commercial Trips 438,445 74% 468,741 72% 219,640 32% 246,584 39% Total Waypoints 24,900,000 24,284,365 27,203,207 21,976,585 Per Trip Massive amounts of trip records and waypoints Captured trips started, finished or went through the area noted Commercial mode split varied from 32% - 74% Waypoint frequencies ranged from 1 second to 120 seconds
10 You Can t Handle the Data!!! Big Data: /biɡ/ /ˈdadə/: noun. 1. Too big to fit in Excel
11 How to Make Big Data Work Turning Data into Knowledge Big Data is not that useful by itself Visualizations Analytics Before/After Analysis of a Road Diet in Los Angeles One day worth of Origins and Destinations in Seattle
12 Visualization/Analytics Tools Courtesy Tiffany Barkley, Iteris Presented at ITS California
13 Walmart Canada Logistics Center Freight Trip Ends Montreal Ottawa Cornwall
14 Walmart Canada Logistics Center Freight Trip Ends Canadian National Railyards
15 One Day of Freight Trip Ends in Seattle Martin Luther King Blvd.
16 One Day of Trips in Boston GPS data provides sufficient resolution to assess last mile deliveries even on many local roads
17 Active Probe Freight Vehicles in Philadelphia Monday, October 2, 2017, 8:06 am
18 New NPMRDS Analytics 2017 Truck Travel Time Reliability (TTTR) Analysis for Arizona Courtesy: UMD CATT Lab PDA Suite
19 Power of Analytics Before/After Travel Time Index (TTI) Analysis of Evacuation During Hurricane Matthew, October 2016
20 Conclusions GPS Probe Data Has Many Applications in Evaluating Urban Freight Challenges The 3-5 Meter Spatial Resolution of GPS Data Allows for Detailed Assessments of: Trips patterns with routing Detailed speed and travel time profiles Assessing system changes over time Relative trip volumes Linking demographic information with associated trips Signal System Performance Work Zone Performance/Impacts 20
21 Gary Carlin Director of Business Development Questions?
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