Evaluate Traffic Noise Level based on Traffic Microsimulation Combined with a Refined Classic Noise Prediction Method

Chen Zhang, Jie He, Haifeng Wang, Mark King

Abstract

In this paper, a refined classic noise prediction method based on the VISSIM and FHWA noise prediction model is formulated to analyze the sound level contributed by traffic on the Nanjing Lukou airport connecting freeway before and after widening. The aim of this research is to (i) assess the traffic noise impact on the Nanjing University of Aeronautics and Astronautics (NUAA) campus before and after freeway widening, (ii) compare the prediction results with field data to test the accuracy of this method, (iii) analyze the relationship between traffic characteristics and sound level. The results indicate that the mean difference between model predictions and field measurements is acceptable. The traffic composition impact study indicates that buses (including mid-sized trucks) and heavy goods vehicles contribute a significant proportion of total noise power despite their low traffic volume. In addition, speed analysis offers an explanation for the minor differences in noise level across time periods. Future work will aim at reducing model error, by focusing on noise barrier analysis using the FEM/BEM method and modifying the vehicle noise emission equation by conducting field experimentation.

References

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Paper Citation


in Harvard Style

Zhang C., He J., Wang H. and King M. (2014). Evaluate Traffic Noise Level based on Traffic Microsimulation Combined with a Refined Classic Noise Prediction Method . In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-038-3, pages 693-700. DOI: 10.5220/0005035606930700


in Bibtex Style

@conference{simultech14,
author={Chen Zhang and Jie He and Haifeng Wang and Mark King},
title={Evaluate Traffic Noise Level based on Traffic Microsimulation Combined with a Refined Classic Noise Prediction Method},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2014},
pages={693-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005035606930700},
isbn={978-989-758-038-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Evaluate Traffic Noise Level based on Traffic Microsimulation Combined with a Refined Classic Noise Prediction Method
SN - 978-989-758-038-3
AU - Zhang C.
AU - He J.
AU - Wang H.
AU - King M.
PY - 2014
SP - 693
EP - 700
DO - 10.5220/0005035606930700