Estimation of road traffic noise emissions: The influence of speed and acceleration |
| |
| Institution: | 1. School of Automotive Engineering, GuangDong Polytechnic Normal University, Guangzhou, China;2. Department of Information Systems, City University of Hong Kong, Hong Kong, China;3. School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China; and Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou, China;1. School of Planning and Architecture, Vijayawada, India;2. Department of Architecture, SRM University, Chennai, India;1. The UK Small Area Health Statistics Unit (SAHSU), MRC-PHE Centre for Environment & Health, Imperial College London, W2 1PG, London, UK;2. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4002 Basel, Switzerland;3. University of Basel, 4003 Basel, Switzerland;4. School of Engineering and Geosciences, Newcastle University, NE1 7RU, UK;5. Environmental Research Group, King''s College London, SE1 9NH, UK;1. Faculty of Engineering, University of Cartagena, Cartagena de Indias, Colombia;2. Graduate Programs in Environmental Applied Science and Management, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada;3. Department of Chemical Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada;1. Civil and Environmental Engineering Department, University of Sharjah, Sharjah City, United Arab Emirates;2. Sustainable Civil Infrastructure Systems Research Group, University of Sharjah, Sharjah City, United Arab Emirates |
| |
| Abstract: | This paper relies on vehicle trajectory collection on a corridor, to compare different traffic representations used for the estimation of the sound power of light vehicles and the resulting sound pressure levels. Four noise emission models are tested. The error introduced when the emissions are calculated based on speeds measured at regular intervals along the road network are quantified and explained. The current noise emission models might in particular misestimate noise levels under congestion. This bias can be reduced by introducing additional traffic variables in the modeling. In addition, significant differences within the models are highlighted, especially concerning their accounting of vehicle accelerations. Models that rely on a binary representation of acceleration regimes (a vehicle or a road segment is accelerating or not) can lead to errors in practice. Models under use in Europe have a very low sensitivity to acceleration values. These results help underlying the further required improvements of dynamic road traffic noise models. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
