Routes to Clean Air 2016 - Dr Sam Chapman, The Floow

Proprietary and Confidential

Copyright © 2016 The Floow Limited. All rights reserved. Contains Confidential Information. Not to be shared without express permission from The Floow.Copyright © 2016 The Floow Limited. All rights reserved.

Proprietary and

Confidential

Vehicular Air

Pollution: Insights

from telematics and

mass mobility

analysis

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Introduction

toTelematics

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Telematics

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GPS

Accelerometer

Other Sensors (Gyro, etc.)

Connectivity (SIM,Wifi,Radio,Etc)

Data Collection & Processing

Data Analytics (various)

Inte

rnet of T

hin

gs

The Floow specialises in

telematics data capture

and analysis using wide

contextual location data

We collect worldwide fine

grained movement data

We provide world leading

firms with sound

understanding of mobility

to:

understand behaviour

understand locations

understand risk

Copyright © 2016 The Floow Limited. All rights reserved. Contains Confidential Information. Not to be shared without express permission from The Floow.


6

Capturing behaviour as vehicles move

Copyright © 2016 The Floow Limited. All rights reserved.


Environmental,

contextual, any

format

Advanced signal processing, Information

integration and contextual enrichment

World-scale geo storage and indexing

Un-interpreted, enriched

Data at journey summary

level

Floow

Analytics

& Services

Interpreted, enriched

Data

Policy holders &

family members

user feedback

Telematic data originated from Smartphones and any device (FtV, SI etc)

• 1 Hz GPS position, speed & acceleration data

• 10 Hz + Accelerometer data

• Call State (phone only)

• CANBUS data (OBD only)

Policy and

Demographic

details

!

ID

Air Quality analysis, and

modelling support Insurance services

and feedback

Introduction to

Data

Destin

atio

n o

f Journ

eys

We

ekd

ay

Destin

atio

n o

f Jou

rneys

• Traffic flow

• Traffic speed

• Traffic risk

• Traffic times

• Journey purpose

• Accelerations

• Decelerations

• Demographics

• Congestion patterns

• Etc.

• Local vs Remote users

• Infrastructure change

• Road Complexity

• Road types

• Junction types

• Population in region

• Curvature complexity

• Connectivity of roads

• Safe Speed

• Etc.

Understanding roads

mobility and transport

Copyright © 2016 The Floow Limited. All rights reserved. Contains Confidential Information. Not to be shared without express permission from The Floow. Proprietary & Confidential

85th PERCENTILE TRAFFIC SPEEDS

Road data


TRAFFIC SENSOR COVERAGE

Road data


Road data

SATELLITE DATA

Analytics forEmissions

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Cleansing of raw data

15



Differing Acceleration behaviour by

regions

16

Urban

Rural

Motorway

Extreme Acceleration

Behaviour

Land inclination strongly impact emissions

and traffic behaviour.

3D not 2D



Land inclination and satellite topography

impacting emissions and traffic.

3D not 2D



Altitude gained during travel

19

LookingUK wide

at emissions

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Extreme acceleration event’s (95th

percentile) locations across UK

London stands out in overall extreme

acceleration events (raw occurrence)

Human behaviour in these locations is a

major factor beyond “normal driving”

1 y

ea

rs U

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ata

pro

ce

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ia la

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ute

clu

ste

r

Extreme acceleration event’s (95th

percentile) locations across UK

Adjust for traffic FLOW shows how

behaviour in locations can be a strong

factor for emissions

1 y

ea

rs U

K d

rivin

g d

ata

pro

ce

sse

d v

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rge

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ute

clu

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Extreme acceleration locations

NORMALISED FOR FLOW

London

Cluster locations of 95th percentile

acceleration behaviour.

London


Proprietary and ConfidentialCluster locations of 95th percentile

acceleration behaviour.

Glasgow



Behaviour can be used

to estimate a “broad

brush” NOx emission

levels across the UK

NOT precise milligram

levels but strongly

correlated to emission

values recorded

across the UK.

All UK

NOx estimation across the UK

South UK


Proprietary and ConfidentialNOx estimation across the UK

Part of the “Northern Powerhouse” UK

Lookingcloser

at emissions

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Telematics: providing

insight for fine grained

Traffic understanding.

Mobility on a city or

Street segment level

Telematics: providing

insight for fine grained

Traffic understanding.

Mobility on a city or

Street segment level

Telematics: traffic

profiles, ‘speed’

demographics at

precise locations.

0

7.5

15

22.5

30

Telematics: traffic

Telematics: traffic

profiles, journey times.24.6sec (ave)

18.4sec (25th percentile)

43.5 (75th percentile)

18.6sec (ave)

13.3sec (25th percentile)

68.2 (75th percentile)

Used in Model population

Can emission models be improved?

Telematics: traffic

profiles, turn frequencies

at precise locations.

82.4% go straight

17.6% turn left

Used in Model population

Can emission models be improved?

Pollution and emissions

understanding

Fine Grained

Temporal Analytics

NOx



PHEM models of each vehicle

36



PHEM models of each vehicle collated by

place

37



Summary

38

• Driver behaviour has a large

impact on emissions

• Models need to take into account

elevation data

• Models need to take into account

localised behaviour

• Some quick wins can be identified

however

Observed “land usage" and "road usage"

should be better considered in modelling



40

Dr. Sam Chapman MIEnvSc

[email protected]

Office: +44 114 2701114

Mobile: +44 7595821729

The Floow Ltd

OXO House

4 Joiner Street,

Sheffield,

S. Yorkshire,

UK,

S3 8GG

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Date post:	16-Apr-2017
Category:	Environment
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