000116229 001__ 116229
000116229 005__ 20190812205137.0
000116229 037__ $$aCONF
000116229 245__ $$aDRONE - a tool for urban traffic noise abatement policy evaluation
000116229 260__ $$c2005
000116229 269__ $$a2005
000116229 336__ $$aConference Papers
000116229 500__ $$aCD
000116229 520__ $$aAreawide Dynamic ROad traffic NoisE simulator-DRONE, been has developed by the integration of a road traffic noise prediction model (ASJ MODEL-1998) with road traffic simulator (AVENUE) which is further linked with GIS to provide areawide dynamic road traffic noise contour maps. This tool provides an engineering solution for the prediction of road traffic noise in urban network. Noise reduction in an urban area can be achieved by noise abatement policies. Policy applied in one area can affect the other area. The variation in noise level on an areawide region can be easily displayed in the form of contour maps. The difference between the scenarios can be investigated. This can act as an effective tool for the policy makers to study the areawide variation in noise level, and its effect on different area, even before the implementation of the policy. This paper presents the application of DRONE in the planning of road traffic noise abatement policy. Contour maps from DRONE can be applied to find the area above the threshold noise level. Road traffic noise pollution problem need to be analyzed and DRONE can help the planner to analyze the problem. Once the problem is analyzed, different action plans need to be formulated. Different transportation and noise abatement policies can be evaluated with DRONE and the results from DRONE can assist policy makers to implement an effective and cost efficient noise abatement policy. Tools such as DRONE should prove as an effective tool for policy makers to assess the effect of various transportation policies on traffic noise.
000116229 6531_ $$aAreawide noise Simulator
000116229 6531_ $$aDynamic noise simulator
000116229 6531_ $$aDRONE
000116229 6531_ $$aNoise abatement policy
000116229 6531_ $$aNoise pollution
000116229 700__ $$0240569$$g168612$$aBhaskar, A.
000116229 700__ $$aChung, E.
000116229 700__ $$aKuwahara, M.
000116229 7112_ $$dMarch 9-11, 2005$$cMonte Verità, Ascona, Switzerland$$a5th STRC Swiss Transport Research Conference
000116229 773__ $$tProceedings of the 5th STRC Swiss Transport Research
000116229 8564_ $$zURL$$uhttp://www.strc.ch
000116229 8564_ $$zn/a$$uhttps://infoscience.epfl.ch/record/116229/files/STRC05_E2_Bhaskar.pdf$$s1719285
000116229 909C0 $$xU10259$$pLAVOC$$0252146
000116229 909CO $$ooai:infoscience.tind.io:116229$$qGLOBAL_SET$$qENAC$$pconf
000116229 937__ $$aLAVOC-CONF-2008-003
000116229 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000116229 980__ $$aCONF