Using Autonomous Vehicle Standards to Extract Traffic Signal Data Andrew Radford, Birmingham City Council

Using autonomous vehicle standards to extract traffic signal data What is GLOSA? Required Information Potential Benefits WM GLOSA Project The Future

reen ight ptimal G L O S A peed dvisory Optimised Optimized Advice Adaption “Slow Down” 00:04 00:03 00:05 00:01 00:00 00:02

Required Information What colour is the light? How is the road configured? Where is the vehicle? Standards – CEN/TC 278 SPAT – Signal Phase and Timing MAP – Geographic Data CAM – Co-operative Awareness Message

Demo http://www.andyradford.uk/ Data Demo Demo http://www.andyradford.uk/

Potential Benefits Cost Policy Fuel Emissions Road Wear Braking Noise Accidents A first step Towards CAV? Smoother journeys and journey times

WM GLOSA Dft funded, C-ITS deployment project Adaptive Control Environment SCOOT MOVA Utilising Existing Infrastructure UTC Centre Mobile Phones / 4G Existing Wifi network ‘beacons’ = Cheap, Deliverable and Scalable

Location – A45 Coventry Road UK CITE Greenwave GLOSA openstreetmap.org Kings Road Berkeley Road Forest Road Gilbertstone Road Lyndon Road Wheatsheaf Damson Parkway Birmingham Solihull Coventry SCOOT Joint SCOOT/ MOVA MOVA Bus Priority Coalway Avenue Wagon Lane Hatchford Brook Coventry Road – A45

Architecture

Why Freight? Uses Amey freight vehicles working on Birmingham Contract Benefits from stop-start greatest with freight vehicles Policy desire to ‘do something for freight’ Known fleet ‘easy to measure’

Evaluation Methodology System Indicators Latency Accuracy Availablity Output Indicators Number of Stops Journey Time Journey Reliability Outcome Indicators Air Quality / Fuel Use Driver Satisfaction Road Safety & others

System Indicators 500 runs total (250 in each direction) 300 runs SCOOT, 200 runs MOVA 3G/4G latency – av 0.481s no problem Data collection, some minor issues with app crashing etc System availability – no real problems Accuracy – problems at Wagon Lane but tests at 3 junctions

SCOOT Variation SCOOT makes a maximum change of 4 seconds per cycle. If it has changed in the previous cycle, it can change a further 1 second in that cycle

Geographical View

Speed / Distance / Phase view

Overall Results Total impact on GLOSA affected sections:- 6.8 stops  5.8 stops inbound (9 GLOSA junctions) 4.8 stops  4.3 stops outbound (6 GLOSA junctions) Stop is defined as at least 5 secs below 5mph

However… Inbound with GLOSA Without GLOSA Results Junction Samples   with GLOSA Without GLOSA Results Junction Samples Stops Av Speed Reliability Speed SD Notes 1991 158 0.992126 7.604724 5.852839 0.935484 10.67097 7.808729 -6% 40% 33% 1992 161 0.807692 13.02692 9.164117 0.580645 19.09677 10.70958 -28% 47% 17% 1994 147 0.532787 16.37951 9.310253 0.96 17.716 10.27458 80% 8% 10% 2105 137 0.576271 16.83898 10.57378 0.421053 20.02105 7.734651 -27% 19% 2110 144 0.579832 16.64874 10.52157 0.48 20.308 10.3486 -17% 22% -2% 2111 160 0.484615 12.41846 8.447528 0.966667 10.31667 5.3634 99% -37% 2112 0.542636 17.16667 7.852776 0.62069 17.11034 7.727664 14% 0% 2115 159 0.274809 20.00992 9.618929 0.571429 20.23929 7.408602 108% 1% -23% SCOOT data incorrect 2130 154 0.408 21.3 8.687895 0.655172 21.21724 7.815814 61% -10% 9999 117 0.65 13.778 13.96555 0.647059 16.74118 14.63284 5% control junction Whole Route 92 5.8125 19.9125 5.864861 7.583333 21.25833 4.870568 30% 7% Just GLOSA junctions 5.848769 6.838198 Outbound 125 0.462264 10.96321 7.190669 0.842105 8.810526 6.025114 82% -20% -16% 129 0.261682 13.28692 8.749698 0.409091 12.80455 8.559496 56% -4% 121 0.631068 11.54272 9.69882 0.611111 13.68333 12.31423 -3% 27% 130 0.759259 9.262963 7.297343 0.772727 7.472727 5.308071 2% -19% 0.59596 12.54242 8.939777 0.444444 12.65 10.04049 -25% 12% 119 0.792079 12.63465 8.543893 0.777778 11.97222 8.183439 -5% 107 0.795455 9.520455 7.222552 0.947368 9.347368 9.095422 26% all 81 5.746479 18.05775 6.484926 4.9 18.92 8.038383 -15% 24% 4.297767 4.804625

Outcomes Test drivers really liked the app and thought it was useful Atkins to undertake analysis of ‘profiles’ to determine air quality impact – however, this is expected to be limited based on the results we have Not enough data for other outcomes MOVA inconclusive

The Future… Roll out to other comms equipped junctions in West Midlands – Tyburn Road Pedestrian Crossings More Robust Trial Improve the algorithms Establish use of data in modelling

Thank you