Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach

An Urban Traffic Noise System can be considered to consist of various subsystems like Road Traffic Subsystem, Human Subsystem, Environment Subsystem, Traffic Network Subsystem and Urban Prosperity Subsystem. These subsystems would include all the relevant parameters which affect the noise in an urban traffic scenario. In the present work, only the Road Traffic System and some of its major parameters have been considered and an Algebraic Graph Theoretic model is presented which emulates the chosen input dataset with a satisfactory level of accuracy, after incorporating the interaction effects. The parameters like traffic volume, street width, height of measuring point above street level and estimated speed with the interactions between them have been identified and modelled as permanent noise function. The evaluation of the ‘permanent function’ as a noise index and its correlation with the experimental values of traffic noise level descriptors, $$L_\mathrm{eq}$$Leq, $$L_{90 }$$L90 and $$L_{10}$$L10, is shown with the help of an illustrative example.

[1]  Nigel Cross,et al.  Engineering design methods , 1989 .

[2]  B. Slack,et al.  The Geography of Transport Systems , 2006 .

[3]  Salvatore Cavalieri,et al.  A neural network architecture for noise prediction , 1995, Neural Networks.

[4]  Efraín Domínguez,et al.  Modeling urban traffic noise with stochastic and deterministic traffic models , 2013 .

[5]  Pedro Cobo,et al.  Influence of vehicle driving parameters on the noise caused by passenger cars in urban traffic , 2012 .

[6]  Naveen Garg,et al.  Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions , 2015 .

[7]  Fergus Nicol,et al.  The effect of street dimensions and traffic density on the noise level and natural ventilation potential in urban canyons , 2004 .

[8]  Eliane R. Rodrigues,et al.  Modeling environmental noise exceedances using non-homogeneous Poisson processes. , 2014, The Journal of the Acoustical Society of America.

[9]  Arnaud Can,et al.  Capturing urban traffic noise dynamics through relevant descriptors , 2008 .

[10]  V. P. Agrawal,et al.  A digraph permanent approach to evaluation and analysis of integrated watershed management system , 2015 .

[11]  D. R. Johnson,et al.  The evaluation of noise from freely flowing road traffic , 1968 .

[12]  P G Abbott,et al.  The effects of traffic calming measures on vehicle and traffic noise , 1997 .

[13]  Ying Chen,et al.  Assessment and improvement of a highway traffic noise prediction model with Leq(20s) as the basic vehicular noise , 2015 .

[14]  O. P. Gandhi,et al.  FMEA—A diagraph and matrix approach , 1992 .

[15]  David Morley,et al.  Development of an open-source road traffic noise model for exposure assessment , 2015, Environ. Model. Softw..

[16]  K. K. Tong,et al.  Estimating traffic noise for inclined roads with freely flowing traffic , 2004 .

[17]  H. Ryser,et al.  Matrix factorizations of determinants and permanents , 1966 .

[18]  Ching-Lai Hwang,et al.  Methods for Multiple Attribute Decision Making , 1981 .

[19]  Henryk Minc,et al.  Upper bounds for permanents of $\left( {0,\,1} \right)$-matrices , 1963 .

[20]  Campbell Steele,et al.  A critical review of some traffic noise prediction models , 2001 .

[21]  F. Yüksel,et al.  A traffic noise prediction method based on vehicle composition using genetic algorithms , 2005 .

[22]  V. P. Agrawal,et al.  A DIGRAPH APPROACH TO QUALITY EVALUATION OF AN AUTOMOTIVE VEHICLE , 1997 .

[23]  Henryk Minc An inequality for permanent of (0, 1)-matrices , 1967 .

[24]  V. P. Agrawal,et al.  Reliability analysis and evaluation of systems , 1991 .

[25]  Ludovic Leclercq,et al.  Dynamic noise modeling at roundabouts , 2009 .

[26]  V. P. Agrawal,et al.  Structural Modeling and Analysis of Composite Product System: A Graph Theoretic Approach , 2006 .

[27]  D. J. White,et al.  Multiple Attribute Decision Making – A State-of-the-Art Survey , 1982 .

[28]  Fabienne Anfosso-Lédée,et al.  Advances in the development of common noise assessment methods in Europe: The CNOSSOS-EU framework for strategic environmental noise mapping. , 2014, The Science of the total environment.

[29]  W J Galloway,et al.  HIGHWAY NOISE MEASUREMENT, SIMULATION, AND MIXED REACTIONS , 1969 .

[30]  D. L. Gerlough,et al.  Traffic flow theory : a monograph , 1975 .

[31]  Sh. Givargis,et al.  Converting the UK calculation of road traffic noise (CORTN) to a model capable of calculating LAeq,1h for the Tehran’s roads , 2008 .

[32]  Sh Givargis,et al.  A basic neural traffic noise prediction model for Tehran's roads. , 2010, Journal of environmental management.

[33]  Sungho Mun,et al.  Study to analyze the effects of vehicles and pavement surface types on noise , 2008 .

[34]  O. P. Gandhi,et al.  Systems modelling of a coal-based steam power plant , 2003 .

[35]  Todor Stoilov,et al.  Traffic noise and traffic light control , 1998 .

[36]  Shivangi Nigam,et al.  Vehicular traffic noise modeling using artificial neural network approach , 2014 .

[37]  Mikael Ögren,et al.  Macroscopic modeling of urban traffic noise – influence of absorption and vehicle flow distribution , 2005 .

[38]  Gerardo Iannone Improvements in the acoustical modelling of traffic noise prediction: theoretical and experimental results , 2011 .

[39]  Seyed Mahmoud Mousavi,et al.  Modeling of road-traffic noise with the use of genetic algorithm , 2011, Appl. Soft Comput..

[40]  Naveen Garg,et al.  A critical review of principal traffic noise models: Strategies and implications , 2014 .