Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition

Autor:	R. M. Mahalinge Gowda, H. N. Rajakumara
Rok vydání:	2008
Předmět:	Noise Engineering Traffic congestion reconstruction with Kerner's three-phase theory business.industry Traffic noise Traffic optimization Traffic flow business Traffic bottleneck Intersection (aeronautics) Simulation General Environmental Science Traffic wave
Zdroj:	Environmental Modeling & Assessment. 14:251-257
ISSN:	1573-2967 1420-2026
Popis:	The objective of this study is to develop an empirical traffic noise prediction model under interrupted traffic flow conditions using two analytical the approaches, the first being the acceleration lane approach and second being the deceleration approach. The urban road network of Bangalore city has been selected as the study area. Sixteen locations are chosen in major traffic junctions of the study area. The traffic noise data collected from the study locations were analyzed separately for both acceleration and deceleration lanes when vehicles leave an intersection on a green traffic light and come to a stop on red traffic light. Based on the study, a regression noise prediction model has been developed for both acceleration and deceleration lanes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c7536a12b42d059f5fc6a01176929f1 https://doi.org/10.1007/s10666-008-9138-6 Zobrazit plný text záznamu Full text from SpringerLink