A velocity and payload dependent emission model for heavy-duty road freight transportation |
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| Authors: | Norbert E Ligterink Lóránt A Tavasszy Ronald de Lange |
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| Institution: | 1. TNO, Delft, The Netherlands;2. Delft University of Technology, Delft, The Netherlands;1. Department of Civil Engineering, Universidad Nacional de Colombia at Medellin, Cl. 65 #78-28, M1-110 Medellin, Colombia;2. Director of the VREF Center of Excellence for Sustainable Urban Freight Systems (CoE-SUFS) and the Center for Infrastructure, Transportation, and the Environment (CITE), Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, 110 8th St. JEC 4030, Troy, NY 12180, USA;1. University of Liège, Chemical Engineering, PEPs Group, 4000 Liège, Belgium;2. University of Liège, HEC Management School, QuantOM, 4000 Liège, Belgium;3. University of Liège, Department of Architecture, Geology, Environment and Construction, LEMA Group, 4000 Liège, Belgium;1. Department of Civil and Environmental Engineering, Srinakharinwirot University, Nakhonnayok, Thailand;2. School of Integrated Innovation, Chulalongkorn University, Bangkok, Thailand;3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China;1. Universidad de Monterrey, Monterrey, Mexico;2. LOGYCA/INVESTIGACION, Bogota, Colombia;3. Eindhoven University of Technology, Eindhoven, Netherlands;4. Tecnológico de Monterrey, Monterrey, Mexico;5. Organizacion Corona, Bogota, Colombia;1. School of Management and Economics, Beijing Institute of Technology, 100081 Beijing, China;2. Center for Energy & Environmental Policy Research, Beijing Institute of Technology, 100081 Beijing, China;3. Collaborative Innovation Center of Electric Vehicles in Beijing, 100081 Beijing, China;4. Beijing Key Lab of Energy Economics and Environmental Management, Beijing 100081, China;5. Sustainable Development Research Institute for Economy and Society of Beijing, Beijing 100081, China |
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| Abstract: | The paper develops a forecasting model of emissions from traffic flows embracing the dynamics of driving behavior due to variations in payload. To measure of emissions at the level of individual vehicles under varying payloads a portable emission measurement system is used. This paper reports on a model based on data at the level of individual vehicles for a representative road trajectory. The model aggregates the data to the level of a homogeneous flow dependent of velocity and specific power, which is dependent on payload weight. We find a lean specification for the model that provides emission factors for CO2, NOx, HC, CO, and NO2. The results indicate that, in comparison with earlier models, NOx emissions in particular tend to be underestimated. |
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