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Updated: Oct 1, 2025
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Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
Published on: December 4, 2016
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Real driving emissions data: Isuzu FTR850 AMT
Johan W Joubert1, Ruan J Gräbe1
1Centre for Transport Development, Industrial & Systems Engineering, University of Pretoria, South Africa.
Data in Brief
|March 7, 2022
Summary
Real Driving Emissions (RDE) testing uses Portable Emissions Measurement Systems (PEMS) to monitor vehicle pollutants during normal operation. This study provides raw PEMS data from heavy goods vehicles in South Africa for emissions research.
Area of Science:
- Environmental Science
- Automotive Engineering
- Data Science
Background:
- Real Driving Emissions (RDE) is crucial for automotive emissions certification.
- RDE ensures vehicles meet emissions standards during normal driving conditions.
- Portable Emissions Measurement Systems (PEMS) are used to monitor these emissions.
Purpose of the Study:
- To present raw PEMS data from heavy goods vehicles (HGVs) on an urban South African route.
- To provide a dataset for developing and testing machine learning algorithms for pollutant prediction.
- To enable research into pollutant concentration variance under typical driving conditions.
Main Methods:
- Collected raw, 1Hz PEMS data from an HGV over multiple trips.
- Recorded pollutant concentrations (CO, CO2, NO, NO2), ambient conditions, and vehicle diagnostics.
- No additional data analysis was performed; the raw data is the focus.
Main Results:
- The dataset comprises detailed PEMS records from field tests.
- Includes measurements of CO, CO2, NO, and NO2 concentrations.
- Ambient conditions and vehicle diagnostic data are also included.
Conclusions:
- The presented data is valuable for researchers in emissions control and machine learning.
- Facilitates the development of predictive models for vehicle emissions.
- Supports the study of real-world pollutant emission variability.
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