The GATEway Project London s Autonomous Push 06/2016
Why TRL? Unrivalled industry position with a focus on mobility 80 years independent transport research Public and private sector with global reach 350+ research staff Shaping the strategic agenda Robust research driving sustained reductions in Fatalities & serious injuries Cost inefficiencies Harmful emissions Barriers to inclusive mobility Unforeseen delays Government Policy & Standards Strategic & Local Roads Cities & Urban Rail Insurance Energy Automotive Motorsport Connected and Autonomous Vehicle (CAV) related client projects: E-Call EDR General Safety Programme Regulation 79 GATEway MOVE_UK ATLAS UK Code of Practice Dynamic Wireless Power Transfer A2 / M2 Connected Corridor SCOOT Intelligent speed assistance bus trial Cyclist detection ZeEUS EV bus
Industry Changes technology and innovation Unprecedented automotive & mobility sector disruption through technology Telematics ADAS Increasing automation Driverless vehicles Machine learning & AI Over the air updates Electric & ULEV E-call OEM & retrofit On-board cameras Driver monitoring Event Data Recorder Connected vehicles, IoT Mobility-as-as-service The nature of risk is changing. 3
Understanding and mitigating risk `` Driver behaviour Telematic Data ADAS Autonomy a fundamental shift in risk is emerging from the driver to the vehicle Key questions how technology mitigates existing risks new risks - unintended consequences 4
Benefits of automation Reduced congestion Fewer traffic jams and less waiting time at intersections and lights 80% improvement in traffic throughput Higher fuel efficiency Synchronized traffic flow 23 to 39% improvement in highway fuel economy Gain in productivity Time in transit becomes more productive 56 minutes per day freed up for other uses (US) Democratization of mobility Over-65 segment growing 50% faster than overall population Allow a variety of age ranges to be mobile Improved safety 90% of all accidents caused by human errors Reduction in motor vehicle accident rates
GATEway project overview Test and evaluate several use cases for autonomy Human factors and technology focus Shuttles ready for validation and testing July 2016 Live trials with participants in August 2016 2.3m deployment includes, command and control, visualization, mapping, demand control and monitoring software and shuttle development ( 7)
GATEway trials G-SAVE virtual environment Remote operation AV supervision and control 3D mapping of Greenwich peninsula to create G-SAVE Synthetic Autonomous Vehicle Environment Create and evaluate driver interactions with autonomous shuttles Investigate different shuttle behaviours Develop repeatable scenarios to evaluate behaviours and gain user perspectives Develop infrastructure to connect to and control shuttles Identify sensor input and display configuration for optimum controller awareness Trial connection and vehicle manoeuvres in controlled conditions Partners to develop/enhance an existing control system Deploy and evaluate shuttle network supervision and control Review applicability for use cases Identify further staged developments Pag e 7
Outcomes New technology solutions and capability User experience and perspective data Evidence base for use-case development Test-bed and evaluation methods for automated driving technologies Data integration in the smart city environment Develop unique IP develop UK expertise Public demonstration to build confidence and understanding UK and European policy guidance Pag e 8
Cross-sector stakeholder advisory group and support (Chaired by Lord Borwick of Hawkshead) Group to meet three times over the two year project; First meeting February 9 th, House of Lords Automotive Technology/Operations R&D/Standards/Legal Location Road safety
Shuttle driving through LIDAR environment
Real shuttle driving through same environment
MOVE_UK: Connected Validation
MOVE_UK Accelerating the development and testing of automated driving systems Automated driving - highly complex process Integration of sensors, data, processing & control systems Requires extensive validation to ensure reliability All reasonable real world driving situations. Methods: Automated Driving Systems in silent mode Driven in normal duties by RBG drivers Driving events identified High resolution data captured and upload Maximize high resolution data for relevant events Events form evaluation scenarios Create scalable validation and approval methods Accelerate ADS development and deployment Evidence base for regulation and policy development Independent validation processes for ADS
Expenditure for validation [h] MOVE_UK: Connected Validation 10 9 10 8 10 7 10 6 10 5 10 4 10 3 10 2 10 1 Today ACC, lane keeping support Integrated cruise assist Highway pilot Complexity of driving situations Auto pilot Auto pilot new validation strategies Bosch Expenditure for validation will increase by a factor of 10 6 to 10 7 - Traditional statistical validation no longer suitable - New release strategies required - Data efficient, scalable, robust
TRL s UK Smart Mobility Living Lab The only Living Lab in the UK for smart, connected & autonomous vehicles Designed to enable CAV and Mobility solutions to be brought to market faster Focused on new product, technology and service R&D Human interaction with technology Understand how new technology will work in a complex urban environment A space for demonstration to investors, decision makers, stakeholders The opportunity to collaborate with other innovators Develop strategy in a rapidly evolving and supportive political environment
A growing community Private R&D or collaborative project approach
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