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Using raw ATC count data with the EFT - Blaise Kelly

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Discussion around ways to improve and utilise the Emissions Factors Toolkit

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Using raw ATC count data with the EFT - Blaise Kelly

  1. 1. Using raw ATC count data with the EFT Blaise Kelly 8th June 2017
  2. 2. MODEL Vehicle Classifications Traffic Speeds Traffic Flows x EMISSIONS FACTORSESTIMATE
  3. 3. SITE
  4. 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. 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. 6. EFT vs ADMS Speed/VC matrix using EFT Average Speed and Hourly flows
  7. 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. 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. 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. 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. 11. • ANPR • Bluetooth • Microsimulation • Actual AQ monitoring • ? • ? HOW TO IMPROVE INPUTS?
  12. 12. Hydrock.com | @hydrocknews

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