Real-time vehicle emission monitoring along roadsides
conference paper
In the worldwide efforts to reduce the emissions of greenhouse gasses in general and those
emitted by vehicles in particular, vehicle emission monitoring is important. It provides accurate
knowledge of real-world emissions of vehicles as input for vehicle emission models. Real-time
emission monitoring along roadsides can be used in dedicated monitoring to eliminate airquality
hotspots, by assessing and optimizing local emission reducing measures like traffic light
schemes. Also, it can be used to identify high-emitter vehicles.
The main focus of this paper is the roadside emission measurement experiment performed in
2009. In this experiment simultaneous concentration measurements of CO2, NOx, NO and NO2
were carried out with simultaneous measurements of particulate matter and TSP. This
information was enhanced with vehicle speed and acceleration from radar measurements
together with vehicle class information derived from video identified license plates. In total over
8000 vehicles were measured. The experiment showed that a combination of a limited number
of measurements combined with emission and dispersion modelling may provide a reliable realtime
estimation of air quality in complex situations
emitted by vehicles in particular, vehicle emission monitoring is important. It provides accurate
knowledge of real-world emissions of vehicles as input for vehicle emission models. Real-time
emission monitoring along roadsides can be used in dedicated monitoring to eliminate airquality
hotspots, by assessing and optimizing local emission reducing measures like traffic light
schemes. Also, it can be used to identify high-emitter vehicles.
The main focus of this paper is the roadside emission measurement experiment performed in
2009. In this experiment simultaneous concentration measurements of CO2, NOx, NO and NO2
were carried out with simultaneous measurements of particulate matter and TSP. This
information was enhanced with vehicle speed and acceleration from radar measurements
together with vehicle class information derived from video identified license plates. In total over
8000 vehicles were measured. The experiment showed that a combination of a limited number
of measurements combined with emission and dispersion modelling may provide a reliable realtime
estimation of air quality in complex situations
TNO Identifier
489612
Source title
18th International Symposium Transport and Air Pollution, May 18-19, 2010, Dubendorf, Switzerland
Pages
1-6
Files
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