TY - GEN
T1 - Study on road traffic noise prediction model taking into account the citywide road network
AU - Oshino, Yasuo
AU - Tsukui, Keisuke
AU - Hanabusa, Hisatomo
AU - Bhaskar, Ashish
AU - Chung, Edward
AU - Kuwahara, Masao
PY - 2007/12/1
Y1 - 2007/12/1
N2 - For the further noise reduction in the future, the traffic management which controls traffic flow and physical distribution is important. To conduct the measure by the traffic management effectively, it is necessary to apply the model for predicting the traffic flow in the citywide road network. For this purpose, the existing model named AVENUE was used as a macro-traffic flow prediction model. The traffic flow model was integrated with the road vehicles' sound power model, and the new road traffic noise prediction model was established. By using this prediction model, the noise map of entire city can be made. In this study, first, the change of traffic flow on the road network after the establishment of new roads was estimated, and the change of the road traffic noise caused by the new roads was predicted. As a result, it has been found that this prediction model has the ability to estimate the change of noise map by the traffic management. In addition, the macro-traffic flow model and our conventional micro-traffic flow model were combined, and the coverage of the noise prediction model was expanded.
AB - For the further noise reduction in the future, the traffic management which controls traffic flow and physical distribution is important. To conduct the measure by the traffic management effectively, it is necessary to apply the model for predicting the traffic flow in the citywide road network. For this purpose, the existing model named AVENUE was used as a macro-traffic flow prediction model. The traffic flow model was integrated with the road vehicles' sound power model, and the new road traffic noise prediction model was established. By using this prediction model, the noise map of entire city can be made. In this study, first, the change of traffic flow on the road network after the establishment of new roads was estimated, and the change of the road traffic noise caused by the new roads was predicted. As a result, it has been found that this prediction model has the ability to estimate the change of noise map by the traffic management. In addition, the macro-traffic flow model and our conventional micro-traffic flow model were combined, and the coverage of the noise prediction model was expanded.
UR - http://www.scopus.com/inward/record.url?scp=84873975720&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:84873975720
SN - 9781605603858
T3 - Turkish Acoustical Society - 36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007 ISTANBUL
SP - 4770
EP - 4775
BT - Turkish Acoustical Society - 36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007 ISTANBUL
T2 - 36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007
Y2 - 28 August 2007 through 31 August 2007
ER -