formforum conference laurent thibault october, 2018
TRANSCRIPT
Meeting
Speaker
Date
FORMForum Conference
Laurent Thibault
17th October, 2018
17/10/2018 FORMForum Conference 2
Crowdsensing for large scale real driving emissions monitoring:
from citizen to regulators
Context
• Today, vehicle emissions levels are mainly tackled by evolution of powertrain technologies and homologation procedures
• However, driving conditions also have a significant impact on emissions– Driver behaviour
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NOx+300%
Fig 1 – Impact of the driving style (same vehicle and route)
Context
• Today, vehicle emissions levels are mainly tackled by evolution of powertrain technologies and homologation procedures
• However, driving conditions also have a significant impact on emissions– Driver behaviour– Road infrastructure and traffic conditions
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NOx+300%
Fig 1 – Impact of the driving style (same vehicle and route) Fig. 2 – Impact of speed bumps on exhaust emissions
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Vehicle emissions evaluation: state of the art
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Macroscopic simulators Microscopic simulators On-road measurements
Easy to use
Cost
Precision
Driver behaviour included
Driver behaviournot included
Information limited toone vehicle/location
Driver behaviour included
Offline tool
Need for vehicle speed profiles and vehicle data as an input
High spatio-temporalresolution
Poor precision at the scale of a road segment
Suitable for yearly emissions inventories
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Our Contribution
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Objectives• Helping to understand and reduce vehicle emissions• Representing real-world driving conditions• Integrating data from thousands of non-professional drivers
Approach• Coupling on-road measurements and crowdsensing data• Physical modelling of the powertrain• Cloud computing from real-time GPS data
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Why mobile crowdsensing?
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• A user-centered solution to get driving data• A way to create a map of real-world vehicle emissions
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CROWDSENSING DATA
Daily trips of thousands of users
ON-ROAD MEASUREMENTS
PEMS,Remote sensing, embedded NOx
sensors
LARGE-SCALE REAL-DRIVING
EMISSIONS DATABASEPrecise and
representative
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Methodology
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Methodology
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Real-worldConnected
Vehicles
Real-driving conditionsdatabase
ON-ROADMEASUREMENTS
Automated tuningof the emission models
New tools for
Regulators &
Citizens
MicroscopicEmissionsEstimation
API
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Why a smartphone application?
• Involve the citizens • Gather representative real-world data • Connect all vehicles without additional cost
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Real-worldConnected
Vehicles
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• Already 15k+ users– For now has only been promoted in France……but operational everywhere in Europe!
– The first app to estimate vehicle emissions……but the API is usable in any third-party app
The Geco air application
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Real-worldConnected
Vehicles
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• More than 1 Million trips• Daily mobility of thousands of
non-professional drivers– Usable for research purposes
• For each trip– 1Hz vehicle speed,
acceleration, roadslope, external temperature
– Detailed vehicle specifications
A unique opportunity for a better understanding of today’s mobility and its impact
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Real-worldConnected
Vehicles
Real-driving conditionsdatabase
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Real-worldConnected
Vehicles
MicroscopicEmissionsEstimation
API
Input : 1Hz GPS Signal Output : 1Hz tailpipe emissions
A physical modelling1 of vehicle emissions• Estimation of NOx, PM (exhaust and wear), PN, CO, CO2,
1 L. Thibault, et al., “A new GPS-based method to estimate real driving emissions,” in Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on, 2016
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Methodology
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Real-worldConnected
Vehicles
Real-driving conditionsdatabase
ON-ROADMEASUREMENTS
Automated tuningof the emission models
New tools for
Regulators &
Citizens
MicroscopicEmissionsEstimation
API
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Impacts for cities
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Real-worldConnected
Vehicles
New tools for
Regulators
Real-time mapping of vehicle emissions• A feedback to identify critical areas
Understanding the impact of the infrastructure• Include air quality into town planning decisions
Optimising traffic management measures• Speed limits, traffic lights timing,…
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Impact for legislators
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Real-worldConnected
Vehicles
New tools for
Regulators
Assessing real-world efficiency of powertrain technologies• Deciding which type of vehicle to promote
Understanding « normal » driving conditions• Understanding what is representative or not• Improving homologation procedure
Completing existing on-road measurements• Drawing the big picture thanks to remote sensing,
PEMS, on-board sensors integration
HomologationThreshold
95%
×
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Contributions of this workAn innovative use of mobile crowdsensing
Contact : [email protected]
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GPS-based vehicle emissions estimation API• Real-time vehicle emissions maps• Easy coupling with other GPS data sources (third-party apps, cars,…)• API available on demand
Smartphone application• Involving thousands of citizens in a crowdsensing campaign• Providing a feedback on the environmental footprint of mobility
Database of real-world driving conditions• Understanding what “normal” driving conditions are
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