Discussion around ways to improve and utilise the Emissions Factors Toolkit Early Career Group Meetup, London, June 2016

1. Using raw ATC count data with the EFT
Blaise Kelly
8th June 2017

2. MODEL
Vehicle
Classifications
Traffic Speeds
Traffic Flows
x EMISSIONS FACTORSESTIMATE

3. SITE

4. RAW ATC DATA
VEHICLE CLASSIFICATIONS (VC) BINNED SPEEDS
Cls Cls Cls Cls Cls Cls Cls Cls Cls Cls
1 2 3 4 5 6 7 8 9 10
0000 5 37 0 2 0 0 0 0 0 0
0100 3 41 0 0 0 0 0 0 0 0
0200 4 25 0 0 0 0 0 0 0 0
0300 0 16 0 1 0 0 0 0 0 0
0400 0 12 0 2 0 0 0 0 0 0
0500 0 25 0 3 0 0 0 0 0 0
0600 2 26 0 2 0 0 0 0 0 0
0700 3 44 0 1 0 1 0 0 0 0
0800 4 50 0 6 0 0 0 0 0 0
0900 4 77 0 2 0 0 0 0 0 0
1000 10 92 0 5 0 0 0 0 0 0
1100 14 131 1 4 0 0 0 0 0 0
1200 10 154 0 5 1 0 0 0 0 0
1300 16 182 0 14 0 0 0 0 0 0
1400 14 188 0 5 0 0 0 0 0 0
1500 4 180 0 8 0 0 0 0 0 0
1600 12 191 2 10 1 0 0 1 0 0
1700 7 186 0 3 2 0 0 0 0 0
1800 5 176 0 4 0 0 0 0 0 0
1900 9 137 0 7 1 0 0 0 0 0
2000 6 115 1 4 0 0 0 0 0 0
2100 9 89 0 4 0 0 0 0 0 0
2200 5 69 0 2 0 0 0 0 0 0
2300 10 71 0 1 1 0 0 0 0 0
Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin Vbin
0 5 10 15 20 25 30 35 40 45 50 55 60
5 10 15 20 25 30 35 40 45 50 55 60 130
0000 0 3 19 19 1 2 0 0 0 0 0 0 0
0100 0 4 28 12 0 0 0 0 0 0 0 0 0
0200 0 5 13 9 2 0 0 0 0 0 0 0 0
0300 0 1 9 7 0 0 0 0 0 0 0 0 0
0400 0 1 10 2 1 0 0 0 0 0 0 0 0
0500 0 3 17 8 0 0 0 0 0 0 0 0 0
0600 0 3 15 11 1 0 0 0 0 0 0 0 0
0700 1 6 33 9 0 0 0 0 0 0 0 0 0
0800 0 6 39 13 2 0 0 0 0 0 0 0 0
0900 2 15 34 31 1 0 0 0 0 0 0 0 0
1000 0 21 62 24 0 0 0 0 0 0 0 0 0
1100 0 19 88 38 4 1 0 0 0 0 0 0 0
1200 0 23 102 42 2 1 0 0 0 0 0 0 0
1300 4 30 142 35 1 0 0 0 0 0 0 0 0
1400 1 27 127 49 2 1 0 0 0 0 0 0 0
1500 1 40 111 38 2 0 0 0 0 0 0 0 0
1600 1 41 146 27 2 0 0 0 0 0 0 0 0
1700 1 40 124 29 4 0 0 0 0 0 0 0 0
1800 1 26 125 28 5 0 0 0 0 0 0 0 0
1900 1 30 91 30 1 1 0 0 0 0 0 0 0
2000 0 19 78 28 1 0 0 0 0 0 0 0 0
2100 0 19 54 25 4 0 0 0 0 0 0 0 0
2200 0 8 45 22 1 0 0 0 0 0 0 0 0
2300 0 8 44 23 7 1 0 0 0 0 0 0 0
7x

5. EFT vs ADMS
EFT v7.0 INPUT
SourceID Road Type Traffic Flow % Petrol Car % Diesel Car
% Taxi (black
cab)
% LGV % Rigid HGV % Artic HGV
% Bus and
Coach
% Motorcycle Speed(kph) No of Hours
Monday 07 London 2 60.62264 35.60377 0 0 0 0 0 3.773585 8.0467 1
Monday 08 London 1 60.48 35.52 0 0 0.666667 0 0 3.333333 8.0467 1
Monday 09 London 11 58.5 34.35714 0 0 0 0 0 7.142857 8.0467 1
Monday 10 London 5 61.84049 36.31902 0 0 0.613497 0 0 1.226994 8.0467 1
Monday 13 London 2 59.71304 35.06957 0 0 0 0 0 5.217391 8.0467 1
Monday 16 London 6 61.41709 36.07035 0 0 0 0 0 2.512563 8.0467 1
Monday 17 London 32 58.47305 34.34132 0 0 1.197605 0.598802 0 5.389222 8.0467 1
Monday 18 London 14 58.21519 34.18987 0 0 0 0 0 7.594937 8.0467 1
Tuesday 09 London 25 55.8 32.77143 0 0 6.938776 0 0 4.489796 8.0467 1
Tuesday 10 London 14 56.16 32.98286 0 0 9.714286 0 0 1.142857 8.0467 1

6. EFT vs ADMS
Speed/VC matrix using EFT Average Speed and Hourly flows

7. DIURNAL PROFILES
Speed/VC matrix using EFT Average Speed and Hourly flows
0
0.5
1
1.5
2
2.5
3
3.5
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Monday Tuesday Wednesday Thursday
Friday Saturday Sunday
0
0.5
1
1.5
2
2.5
3
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Monday Tuesday Wednesday Thursday
Friday Saturday Sunday

8. 1 Hour
200µg/m3
15 minute0.00
20.00
40.00
60.00
80.00
100.00
120.00
NO2Concentrationug/m3 Modelled NO2 vs Monitored NO2 Concentrations
Monitored EFT AADT Background

9. BACKGROUND DATA
LOCATION
• Monthly average NO2 diffusion tubes
• Defra background map Annual Average
3km to the south east. As automatic
monitoring stations go – pretty close.
Alternatives:

10. 0.00
20.00
40.00
60.00
80.00
100.00
120.00
Concentrationug/m3
Modelled NOx vs Monitored NO2 Concentrations
Monitored EFT no background AADT no background

11. • ANPR
• Bluetooth
• Microsimulation
• Actual AQ monitoring
• ?
• ?
HOW TO IMPROVE INPUTS?

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