Outline. TAMU Campus Projects TxDOT Innovative Research Project Mobileye Shield+ Pilot

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2 Outline TAMU Campus Projects TxDOT Innovative Research Project Mobileye Shield+ Pilot

3 How Does Initiative Work? Campus Transportation Technology Initiative Solicit technology demonstrations via RFI process COMPANY

4 TTI and Campus Partners Will Campus Transportation Technology Initiative Assess Deploy Integrate Evaluate Findings

5 Intersection Safety Campus Transportation Technology Initiative

6 Innovative Technologies Services Approaches Campus Transformational Mobility Plan Vision Enhance Facilities for Pedestrians and Bicyclists Green Space

7 Texas A&M Leadership Developing Testing Deploying Autonomous Transportation Systems Campus Transformational Mobility Plan

8 Scenarios Private Vehicle Ownership Driver Controlled Connected Automated Vehicles (CAVs) Private CAVs Vehicle Controlled Fully Automated Private Autonomous Vehicles Shared Vehicle Ownership Shared CAVs Shared Autonomous Vehicles

9 Personal CAVs Dominate Smart CAV Infrastructure & Operations Slightly Expanded TAMU Bus System with Electric Busses Uber, Zipcar, etc. Campus Bike Share Private CAVs Scenarios

10 Shared CAVs Dominate Community-Wide Bike Share Program & Bike Facilities Additional Bus Routes with Electric Busses Serving Students and Public Shared CAVs Scenarios

11 Private Autonomous Vehicles Private Autonomous Vehicles Dominate Market Smart CAV Infrastructure & Operation Slightly Expanded TAMU Bus System with Autonomous Electric Buses Autonomous Uber, Zipcar, etc. Campus Bike Share Program

12 Shared Autonomous Vehicles Dominate Mode Shared Autonomous Vehicles Community-Wide Bike Share Program & Bike/Walking Network Community-Wide Autonomous Bus System using Electric Autonomous Buses and Bus-Only Lanes Serving Students and Public

13 Discussion Topics Influence on TAMU Campus Footprint Influence on Student Housing Market Influence on Residential Market Influence on Commercial and Business Markets

14 Identify Safety Concerns Related to Transit, Bicyclist, and Pedestrian Interactions Identify AV/CV Technology to Address and Help Mitigate Concerns Identify Concepts for Demonstration, Testing, and Deployment Identify Partners TxDOT Innovative Project - AV/CV Test Bed to improve Transit, Bicycle, and Pedestrian Safety

15 Transit, Bicycle, and Pedestrian Interactions AV/CV Test Bed to Improve Transit, Bicycle, and Pedestrian Safety Turning Buses and Crosswalks Buses and Bike Lanes Park-and-Ride Lots Bike Racks on Buses

16 AV/CV Test Bed to Improve Transit, Bicycle, and Pedestrian Safety Test Bed Vision RELLIS Campus TAMU Campus TxDOT and Transit Agencies Industry Partners

17 Phase II Smart Intersections Smart Pedestrians and Bicyclists AV/CV Test Bed to Improve Transit, Bicycle, and Pedestrian Safety Source: GoboSource

18 Pilot -TAMU Bus and Mobileye/Rosco Shield+ TM TAMU Transportation Services TTI TxDOT Mobileye/Rosco

19 Left Turn Trajectory Mobileye Shield+ Collision Warning System System equipped with up to four strategically placed multi-vision smart cameras Right Turn Trajectory Pedestrian and Bicyclist Detection Based on Four Cameras and Machine Vision Easily Retrofit on Existing Buses; No DSRC Required Camera 1 Camera 2 Camera 3 Camera 4

20 Left & Right Rear Shield+ Cameras Left Turn Forward Facing

21 Provides Visual and Auditory Warnings Corresponds to Direction of Detection Shield+ Bus Driver View Source: Mobileye

22 Texas A&M Pilot Test Install Mobileye System on 1 Texas A&M bus Use Central Campus Route with Heavy Pedestrian and Bicyclist Traffic 6-week pilot in Jan-Feb 2016 Evaluated Accuracy of Pedestrian/Bicyclist Detection Interview Bus Drivers for Opinions and Feedback

23 % False Alarms: 37 Collision Alerts in 27 Days Results: Detection Accuracy For All Alerts, Pedestrian or Bicyclist in Close Proximity to Bus Number of Collision Alerts by Proximity to Shield+ Bus Road User 0-5 feet 5-10 feet feet feet Subtotal Pedestrian Bicyclist Skateboarder Motorcyclist Subtotal

24 Most Liked Shield+ System Gave Helpful Reminders Results: Bus Driver Feedback A Few Experienced Drivers Questioned Value: It Never Warned Me of Something That I Hadn t Already Seen Most Wished System Could Operate in Low Light (Does Not) Mixed Opinions About Whether Collision Warnings Gave Drivers Enough Time to React

25 Highlights locations with most close calls with pedestrians and bicyclists Results: Hot Spot Map for Collision Alerts