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Future work
Assessing emissions across networks to aid Policy design
1 Collaboration with SYSTRA – Sheffield Low Emission Zone feasibility study (2013)
Outline
 Traffic & Air Quality trends
 The source of the urban air quality problem
 Road transport vehicles
 Emission legislation
 Research surveying the Sheffield vehicle fleet 1
 Fleet composition & trends
 Emission performance
 Passenger cars
 Taxis
 Buses
 The challenge of improving Sheffield’s air quality
 Outlook
 Future work
2 1 Project report https://www.sheffield.gov.uk/dms/scc/management/corporate-communications/documents/environment/pollution/air/Vehicle-
Emission-Measurement-and-Analysis-2013/Vehicle%20Emission%20Measurement%20and%20Analysis%202013.pdf.
Traffic Flow Trends
Sheffield Central Area Screen-line Surveys
3
2002 2004 2006 2008 2010 2012 2014
020000400006000080000
Year
VehicleTripsperDay
Air Quality Trends
Nitrogen dioxide (NO2) concentrations in Sheffield
4
2002 2004 2006 2008 2010 2012 2014
020406080100120
Year
RollingAnnualMean:NO2(gm
3
)
UK Air Quality Standard
Air Quality Trends
Nitrogen dioxide (NO2) concentrations in Sheffield & London
5
2002 2004 2006 2008 2010 2012 2014
020406080100120
Year
RollingAnnualMean:NO2(gm
3
)
UK Air Quality Standard
EUROPEAN AIR QUALITY
Nitrogen dioxide (NO2)
Carslaw, D., Beevers, S. Westmoreland, E. Williams, M. Tate, J. Murrells, T. Stedman, J. Li, Y., Grice, S., Kent, A., Tsagatakis, I. (2011).
Trends in NOX and NO2 emissions and ambient measurements in the UK. Version 3, March 2011. http://uk-
air.defra.gov.uk/reports/cat05/1108251149_110718_AQ0724_Final_report.pdf
Latest EU directive for Euro 5 and 6 - 2007/715/EC
2000 2005 2010 2015 2020
0.00.10.20.30.40.50.6
Year of registration
NOX(grams.km
1
)
VEHICLE EMISSION STANDARDS
Passenger cars
EuroVIEuroVEuro IVEuro III
0 200 400 600 800 1000 1200 1400
020406080120
NEDC - Speed Profile
Time (seconds)
Speed(kmh
1
)
Fig. Speed profile used for type approval purposes (New EU Drive-Cycle)
0 200 400 600 800 1000 1200 1400
0102030405060
ARTEMIS Urban - Speed Profile
Time (seconds)
Speed(kmh
1
)
Fig. Real-world driving: The Common ARTEMIS Drive Cycle (Andre, 2004).
ASSESSMENT OF VEHICLE EMISSIONS
Vehicle operation
Assessing Vehicle Emissions
THE LABORATORY
Fig. Chassis dynamometer and exhaust analysing equipment
Technical University of Graz (Austria):
Light-duty
Heavy-duty
Engine & Chassis dynos.
MANIPULATING THE TESTS
Significance
Dings, J. 2013. Mind the Gap! Why official car fuel economy figures don’t match up to reality.
Transport and Environment, March 2013.
2002 2004 2006 2008 2010 2012
100105110115120125130
Year of first registration
Spritmonitor.de/TypeapprovalCO2Emissions(%)
Spritmonitor.de
• Record mileages and
fuel purchased
• 300,000 vehicles
• 4.5 billion vehicle kms
MANIPULATING THE TESTS
Significance
Ligterink, N., Eijk,A. Update analysis of real-world fuel consumption of business passenger cars
based on Travelcard Nederland fuelpass data.TNO report 2014 R11063, July 2014
MANUFACTRER’S CO2 TARGETS
Average car
60
80
100
120
140
160
180
200
1990 1995 2000 2005 2010 2015 2020 2025 2030
Emissions(gramsCO2.km-1)
Vehicle Model Year
80% reduction (DfT)
90% reduction (DfT)
100% reduction (DfT)
NE DC figures (S MMT New C ar report)
S pritmonitor.de (Germany) On-road, ~5000/year
Travel card (Netherlands) On-road, ~15000/year
Honestjohn.co.uk (UK ) On-road, ~3000 / year
F uture Targets (IC C T & DfT)
TAX LANDSCAPE
Company cars – Benefit In Kind (BIK) tax
0
5
10
15
20
25
30
35
40
0
1-75
76-94
95
100
105
110
115
120
125
130
135
140
145
150
155
160
165
170
175
180
185
190
195
200
205
210
BenefitinKind(BIK)tax[%oflistprice]
Type Approval CO2 (grams.km-1)
SURVEYING THE VEHICLE FLEET
Remote Sensing Vehicle Emissions
14
Sheffield, May 2013
SHEFFIELD SURVEY SITES
Remote Sensing Vehicle Emissions
SHEFFIELD SURVEY SITES
Remote Sensing Vehicle Emissions
1.ASLINE ROAD
2. EYRE STREET
SHEFFIELD SURVEY SITES
Remote Sensing Vehicle Emissions
3.WESTERN BANK
4.ATTERCLIFFE CENTRE
Camera
(Number plate)
Vehicle Detector
(Speed andAcceleration)
Source/Detector
Mirror Box
Source
Detector
Emissions Analyser
(Common
Configurations)
Camera
(Number plate)
Vehicle Detector
(Speed andAcceleration)
Source/Detector
Mirror Box
Source
Detector
Emissions Analyser
(Common
Configurations)
Method
Remote Sensing Vehicle Emissions
ESP RSD-4600 instrument (www.esp-global.com)
UV
IR
Camera
(Number plate)
Vehicle Detector
(Speed andAcceleration)
Source/Detector
Mirror Box
Source
Detector
Emissions Analyser
(Common
Configurations)
Camera
(Number plate)
Vehicle Detector
(Speed andAcceleration)
Source/Detector
Mirror Box
Source
Detector
Emissions Analyser
(Common
Configurations)
Emission ratios
From peak exhaust plume conc.
 NO / CO2
Estimate from NO2 / NOX fractions
NO2 / CO2 &
NOX / CO2
 CO / CO2
 HC / CO2 &
 PM10
Baseline condition taken from front of
the vehicle
Valid measurement
 5 – 60 km/h
 Sufficient CO2 plume
 Number plate record
Method
Remote Sensing Vehicle Emissions
Vehicle Fleet Information
Number plate record ANPR
→ Detailed vehicle registration info.
→ Annoymised DVLA type data
• vehicle type & euro category
• fuel type and engine capacity
• manufacturer & model
• CO2 performance etc.
19
Method
Remote Sensing Vehicle Emissions
PROS:
 “Real-world” or “on road” or “RDE”
 Understand the emission
performance of the vehicle fleet
 Trends
 Degradation/ ageing technologies
 High-emitters
 Detailed knowledge of the vehicle
fleet composition
 Fast turn-round (one month)
 Survey emerging technologies
e.g. EuroVI compliant vehicles
 Rich research resource
CONS:
 “Snap-shot” or “single-point”
measurement
 Vehicle operating condition unknown
 Loading
 Cold-start or Hot-running
 Elevated exhausts – NULL
 Lorries “open” chassis
 Practical limitations
 Dry weather conditions
 Relatively labour intensive
 Suitable survey locations limited
20
REMOTE SENSING VEHICLE EMISSIONS
Passenger car fleet – Sheffield 2013
0
10
20
30
40
50
Euro 0 Euro 1 Euro 2 Euro 3 Euro 4 Euro 5 Euro 6
Passengercarshare(%)
Euro standard
Hybrid (diesel)
Hybrid
Diesel
Petrol
Diesel
share
31.9%
Diesel
share
63.6%
Diesel
share
60.8%
Diesel
share
48.8%
Diesel
share
32.4%
Diesel
share
14.1%
Hybrid
share
1.73%
aPetrol-E0
aPetrol-E1
aPetrol-E2
aPetrol-E3
aPetrol-E4
aPetrol-E5
aPetrol-E6
Diesel-E0
Diesel-E1
Diesel-E2
Diesel-E3
Diesel-E4
Diesel-E5
Diesel-E6
Hybrid-E3
Hybrid-E4
Hybrid-E5
HybridD-E5
0
5
10
15
CO(grams.km
1
)
CARBON MONOXIDE EMISSIONS
Passenger car fleet
aPetrol-E0
aPetrol-E1
aPetrol-E2
aPetrol-E3
aPetrol-E4
aPetrol-E5
aPetrol-E6
Diesel-E0
Diesel-E1
Diesel-E2
Diesel-E3
Diesel-E4
Diesel-E5
Diesel-E6
Hybrid-E3
Hybrid-E4
Hybrid-E5
HybridD-E5
0
1
2
3
4
NOX(grams.km
1
)
NOX EMISSIONS
Passenger car fleet
NOX EMISSIONS
Passenger car fleet
Predicted NOX (grams.km-1
)
Petrol Diesel
1973 1986 1991 1996 2001 2006 2011
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Year of first registration
NOX(grams.km
1
)
1991 1996 2000 2004 2008 2012
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Year of first registration
NOX(grams.km
1
)
Carslaw, D., Beevers, S. Westmoreland, E. Williams, M. Tate, J. Murrells, T. Stedman, J. Li, Y., Grice, S., Kent, A., Tsagatakis, I. (2011).
Trends in NOX and NO2 emissions and ambient measurements in the UK. Version 3, March 2011. http://uk-
air.defra.gov.uk/reports/cat05/1108251149_110718_AQ0724_Final_report.pdf
NOX emission factors
Observed vs. UK / EU models
NO2 EMISSIONS
Passenger car fleet
Predicted NO2 (grams.km-1
)
Petrol Diesel
1973 1986 1991 1996 2001 2006 2011
0.0
0.5
1.0
1.5
2.0
Year of first registration
NO2(grams.km
1
)
1991 1996 2000 2004 2008 2012
0.0
0.5
1.0
1.5
2.0
Year of first registration
NO2(grams.km
1
)
aPetrol-E0
aPetrol-E1
aPetrol-E2
aPetrol-E3
aPetrol-E4
aPetrol-E5
aPetrol-E6
Diesel-E0
Diesel-E1
Diesel-E2
Diesel-E3
Diesel-E4
Diesel-E5
Diesel-E6
Hybrid-E3
Hybrid-E4
Hybrid-E5
HybridD-E5
0
20
40
60
80
100
120
PM10(index.km
1
)
PM10 EMISSIONS
Passenger car fleet
Diesel-E0
Diesel-E1
Diesel-E2
Diesel-E3
Diesel-E4
Diesel-E5
Diesel-E6
Hackney-E0
Hackney-E1
Hackney-E2
Hackney-E3
Hackney-E4
Hackney-E5
Hackney-E6
PHV-E0
PHV-E1
PHV-E2
PHV-E3
PHV-E4
PHV-E5
PHV-E6
PHVHybrid-E5
0
1
2
3
4
NOX(grams.km
1
)
TAXIS
NOX emissions
Diesel-E0
Diesel-E1
Diesel-E2
Diesel-E3
Diesel-E4
Diesel-E5
Diesel-E6
Hackney-E0
Hackney-E1
Hackney-E2
Hackney-E3
Hackney-E4
Hackney-E5
Hackney-E6
PHV-E0
PHV-E1
PHV-E2
PHV-E3
PHV-E4
PHV-E5
PHV-E6
PHVHybrid-E5
0
50
100
150
200
PM10(index.km
1
)
TAXIS
Particulate Matter (tail-pipe emissions)
DoubleD-E0
DoubleD-E1
DoubleD-E2
DoubleD-E3
DoubleD-E4
DoubleD-E5
DoubleD-HEV
SingleD-E2
SingleD-E3
SingleD-E4
SingleD-E5
0
5
10
15
NOX(grams.km
1
)
BUSES
NOX emissions
cR136JYG
cR137JYG
cR138JYG
cR139JYG
cR634CVR
cR636CVR
cR637CVR
cR638CVR
cR639CVR
cR640CVR
cR901BOU
cR913BOU
cR914BOU
cR919BOU
cS811RWG
cS812RWG
cS813RWG
cS814RWG
cT815MAK
cT823MAK
cT824MAK
cT825MAK
cT826MAK
cT828MAK
cT829MAK
cT830MAK
cT831MAK
cT832MAK
cT833MAK
cT835MAK
cT836MAK
cT837MAK
cT838MAK
cT839MAK
cT840MAK
cT841MAK
cT842MAK
cT843MAK
cT844MAK
cT850MAK
cT852MAK
cT857MAK
cT859MAK
cT869ODT
cT872ODT
cT879ODT
cT881ODT
cT882ODT
cT883ODT
cT884ODT
cX840HHE
dSF55UAK
dSF55UAL
dSF55UAR
dSF55UAT
dSF55UAU
dSF55UAW
dSF55UAX
dSF55UAY
dSF55UAZ
dYG52DHC
dYL02FKV
dYN05XOA
dYN05XOB
dYN06WCG
dYN06WCJ
dYN06WCL
dYN06WCM
dYN06WCP
dYN06WCR
dYN53PAO
eYN07KPR
eYN07KPX
eYN07KPY
eYN07KRF
eYN07KRG
eYN07KRJ
eYN07KRK
eYN07KRV
eYN07KRX
eYN07KRZ
eYN07KSE
eYN07KSF
eYN07KSJ
eYN07KSV
eYN08JBZ
eYN08JFJ
eYN08JFX
eYN08JFY
eYN08JGF
eYN08JGU
eYN08JGX
eYN08JGY
eYN57MYC
eYN57MYD
fLK62FUJ
fYN62BDU
fYN62BHF
fYN62BMY
fYN62BNA
fYN62BNE
fYX11HNW
fYX11HNY
fYX11HNZ
0
5
10
15
20
NOX(grams.km
1
)
Vehicle specific measurements (individual vehicles)
The boxes are colour coded according to the vehicles’ Euro standard:
• Red = Euro 2
• Orange = Euro 3
• Yellow = Euro 4
• Blue = Euro 5
SINGLE-DECKER BUSES
NOX emissions ( > 5 pass-bys)
cW716CWR
cX358VWT
dLK03NHH
dLK03NHJ
dLK03NHL
dLK03NHM
dLT02ZCY
dLT02ZDH
dLT02ZDJ
dLT52WTY
dLT52WTZ
dLT52WUA
dLT52WUB
dLT52WUC
dLT52WUD
dWU02KVE
dWU02KVH
dWU02KVJ
dWU02KVK
dWU02KVL
dWU02KVM
dWU02KVO
dWU02KVP
dYN54VKA
dYN54VKC
dYN54VKE
dYN54VKF
eYN08LCJ
eYN08NLL
eYN08NLM
eYN08NLO
eYN08NLP
eYN08NLR
eYN08NLV
eYN08NLX
eYN08NLY
eYN08NMA
eYN08NME
eYN58ESG
eYN58ESO
eYN58ESU
eYN58ESV
eYN58ESY
eYN58ETA
eYN58ETD
eYN58ETE
eYN58ETF
eYN58ETX
eYN58ETY
fYN12GYO
fYN12GYR
fYN12GYS
fYN60CJY
fYN60CJZ
fYN60CKC
fYN60CKD
fYN60CKE
fYN60CKF
fYN60CKG
fYN60CKJ
fYN60CKK
fYN60CKL
fYN60CKO
fYN60CKP
fYN60CKV
hYN62BBE
hYN62BCY
hYN62BEY
hYN62BFP
hYN62BTV
hYN62BXO
hYN62BXS
hYN62BXX
hYN62BYA
hYN62BYS
hYN62BYU
hYN62BZG
hYN62BZK
0
5
10
15
20
NOX(grams.km
1
)
Vehicle specific measurements (individual vehicles)
The boxes are colour coded according to the vehicles’ Euro standard:
• Red = Euro 2
• Orange = Euro 3
• Yellow = Euro 4
• Blue = Euro 5
• Green = Euro 5 EEVs, Hybrid Buses
DOUBLE-DECKER BUSES
NOX emissions ( > 5 pass-bys)
DoubleD-E0
DoubleD-E1
DoubleD-E2
DoubleD-E3
DoubleD-E4
DoubleD-E5
DoubleD-HEV
SingleD-E2
SingleD-E3
SingleD-E4
SingleD-E5
0
200
400
600
800
PM10(index.km
1
)
BUSES
Particulate Matter emissions
NEW passenger car results
Leeds Autumn/ Winter 2014
Diesel_E0
Diesel_E1
Diesel_E2
Diesel_E3
Diesel_E4
Diesel_E5
Diesel_E6
Petrol_E0
Petrol_E1
Petrol_E2
Petrol_E3
Petrol_E4
Petrol_E5
Petrol_E6
PetrolHybrid_E3
PetrolHybrid_E4
PetrolHybrid_E5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
NOX(grams.km
1
)
[2]
[2]
[24]
[299]
[970]
[1108]
[39]
[14]
[26]
[156]
[868]
[1131]
[694]
[32]
[2]
[0]
[24]
34
NEW passenger car results
Zurich Remote Sensing Site
35
Zurich, July 2014
82m elevation gain
1.2 km
Av. gradient 6.8 %
Results
Zurich, Summer 2014
36
Diesel_E0
Diesel_E1
Diesel_E2
Diesel_E3
Diesel_E4
Diesel_E5a
Diesel_E5b
Diesel_E6a
Diesel_E6b
DieselHybrid_E5
Petrol_E0
Petrol_E1
Petrol_E2
Petrol_E3
Petrol_E4
Petrol_E5a
Petrol_E5b
Petrol_E6b
PetrolHybrid_E4
PetrolHybrid_E5a
PetrolHybrid_E5b
PetrolHybrid_E6b
0
1000
2000
3000
4000
NOX/CO2ratio
[13]
[33]
[164]
[1220]
[4250]
[3315]
[3165]
[27]
[228]
[19]
[113]
[629]
[1805]
[2584]
[9141]
[3730]
[4360]
[520]
[233]
[85]
[307]
[3]
The Air Quality Challenge
Europe
 High background concentrations for key pollutants
 Nitrogen dioxide (NO2) and Particulate Mass (PM10)
 Complicated by atmospheric chemistry
 Nitrogen dioxide (NO2) and secondary particle formation
 Photochemical smog
 Strongly influenced by meteorology
 Worst episodes during winter | stable weather conditions
 Out-dated vehicle emission legislation and standards
 Drive-cycle
 Operating conditions
 temperature, pressure, rolling resistance, GRADIENT…
 Newer diesel vehicles not necessarily cleaner
 Until recently, EuroVI
 Implications for Low Emission Zones
▶ Air quality is acknowledged to be holding back major road building schemes
37
Outlook
Euro VI diesel vehicles
 Assessment very positive for heavy-duty vehicles (Buses, Coaches, HDVs):
 Significantly cleaner in most ‘normal’ operating conditions
 Concern for low engine power demand / urban driving e.g. empty running of HDVs
 Initial assessment of light-duty EuroVI diesel promising
 Good improvement over EuroV diesel
 RDE far in excess of emission standard limits
 NOX still only comparable with Euro 2 / 3 petrol cars ( > 10 years old )
 Low Emission Zones / pricing expected to differentiate petrol & diesel e.g. ULEZ
 Worst performance expected in congested, urban driving conditions
 Demands continuous review
 Not simply evaluation of first generation of EuroVI’s from premium manufacturers
 Deterioration of technology unknown
 SCR dosage a concern
38
FUTURE WORK
Mathematical modelling to aid Policy design & Forecasts
Microscopic traffic simulations + instantaneous vehicle emission models
39Western Bank AIMSUN traffic microsimulation model developed by SYSTRA
FUTURE WORK
Evaluating Smart Motorway Operations
40 Highways Agency 2014. Smart motorways – Purpose. Fact sheet 01.
https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/363993/Smart_motorways_-_Fact_Sheets.pdf
Future work
Assessing emissions across networks to aid Policy design
41 Collaboration with SYSTRA – Sheffield Low Emission Zone feasibility study (2013)

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