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

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

3. 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

4. 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

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

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

7. 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

8. 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

9. Architecture

10. 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’

11. 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

12. 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

13. 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

16. Geographical View

17. Speed / Distance / Phase view

18. 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

19. 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
-6%
40%
33%
1992
161
-28%
47%
17%
1994
147
0.96
17.716
80% 8%
10%
2105
137
-27%
19%
2110
144
0.48
20.308
-17%
22%
-2%
2111
160
5.3634
99%
-37%
2112
14% 0%
2115
159
108% 1%
-23%
SCOOT data incorrect
2130
154
0.408
21.3
61%
-10%
9999
117
0.65
13.778 5%
control junction
Whole Route 92
5.8125
30% 7%
Just GLOSA junctions
Outbound
125
82%
-20%
-16%
129
56%
-4%
121
-3%
27%
130 2%
-19%
12.65
-25%
12%
119
-5%
107
26%
all 81
4.9
18.92
-15%
24%

20. 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

21. 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

22. Thank you