Connected and Automated Transportation Safety Christopher Poe, Ph.D., P.E. Assistant Agency Director
Texas Triangle Challenges Texas Triangle contains ¾ of Texas 27 million people 45 million people in 2040 11 of top 20 most congested roadway sections in Texas 7 of top 25 national freight bottlenecks Doubling of freight tonnage from 2010 to 2040
Mobility and Safety Challenges Mobility Congestion costing Texas $9 billion per year $1,150 per commuter in large/medium sized areas Cost of congestion to trucking industry over $1 billion in 2014 Safety Fatal crashes increasing over last 5 years Truck crashes increasing 15% of crashes involve trucks 459 fatal crashes in 2014 involving trucks Texas has most work zone fatalities in US 40% of work zone fatalities occur on Interstates/freeways 235 pedestrian fatalities on I-35 from 2010-2014
Work Zones Challenges Work zones create: Geometric constraints (loss of shoulders / narrow lanes) Congestion for lane closures Often unexpected (mid-day, night) Construction coincides with high truck travel Phases of construction: Create dynamic environment Restrict right-of-way Disrupt utilities
Two Paths that will Converge Automated driving Connected vehicles
Advanced Driver Assistance Systems
Automated Vehicles
Level of Automation Level Example Systems Driver Roles 1 Adaptive Cruise Control OR Lane Keeping Assistance 2 Adaptive Cruise Control AND Lane Keeping Assistance Traffic Jam Assist 3 Traffic Jam Pilot Automated parking Highway Autopilot 4 Closed campus driverless shuttle Valet parking in garage Fully automated in certain conditions 5 Automated taxi Car-share repositioning system Must drive other functions and monitor driving environment Must monitor driving environment (system nags driver to try to ensure it) May read a book, text, or web surf, but be prepared to intervene when needed May sleep, and system can revert to minimum risk condition if needed No driver needed Source: California PATH
Level 1 Cooperative Adaptive Cruise Control
Level 2 - Tesla Autopilot https://www.youtube.com/watch?v=mrwxex8qoxa
Sensing Highway Infrastructure Scope: Develop innovative infrastructure maintenance solutions using emerging technologies Sponsor: TxDOT Deliverables: Proof of concept demonstrations in three highway infrastructure areas: Safety and operations Bridge Pavements Partners: TAMU CANVASS Schedule: 5/15-8/16 PI: Paul Carlson, TTI
Level 4 Automation
L1 Truck Platooning Demonstration Technology is reaching maturity for deployment in highway corridors What are the issues for the highway owners? Examine how infrastructure data (V2I) can enhance truck platooning operation Examine impacts to traffic and safety Source: Peloton
TxDOT L2 Commercial Truck Platooning Project Goal: Study the feasibility of deploying 2-vehicle truck platoons on specific corridors in Texas within 5 to10 years. Create a first-of-its-kind freight level 2 automation platooning demonstration in Texas. Planning, Design, System Engineering and Prototype Development. Includes a working demonstration in Texas. Partners: Ricardo, Argonne National Laboratory, Denso, U.S. Army TARDEC, Navistar, TRW, Bendix, Lytx Additional Research: How to increase benefits with V2I data
What does the Google Car see? 15
What are the challenges? 16
Connected Vehicles
NPRM is Current Driving Force Support of NHTSA rulemaking driving near term SAE DSRC Technical Committee efforts. Focus on IEEE and SAE efforts is to support issues critical to V2V mandate. Notice of Proposed Rule Making Expected by first quarter 2016 Rulemaking expected within 18-24 months after NPRM DSRC mandatory possibly by 2020 model year vehicles focus from Sec. Fox 18
5.9 GHz Wireless Communication
Connected Vehicle Applications Vehicle-to-Infrastructure (V2I) In-vehicle Traveler Information Queue Warning Wrong Way Driving (WWD) Work Zone Warning Spot Weather Impact Warning Road Weather Warning Low Bridge Height Warning Truck Signal Priority Ped/Animal Warning Eco-Dynamic Routing Border Wait Times Vehicle-to-Vehicle (V2V) Emergency Electronic Brake Lights (EEBL - V2Vapplication)
Driver Warnings
Connected Work Zone USDOT grant to Texas DOT for expanding FRATIS Corridor Optimization for Freight Pre-trip planning for routes / loads Best windows for pick-up and drop-off Real-time, dynamic updates for drivers Partners: USDOT, TxDOT, TTI, PAI, NASCO Integrate high-quality work zone lane closure, delay, and queue information for freight logistics Working demonstration of freight optimization on I-35 Schedule: FY2015-2018
AFTERMARKET DEVICES
Transit Application Mobileye installation on TAMU bus for pedestrian / bike warnings Consumer products
I-35 V2I Application Audible messages for: Low bridge warnings Travel time notifications Traffic speed warnings End of queue warnings
What are the possibilities for the future?
New Paradigms
Future Car Interiors
New Vehicles
Freight Shuttle https://vimeo.com/98739883
Hyperloop
Questions? Christopher Poe (972) 994-0433 cpoe@tamu.edu