Theoretical Comparison of the Effects of Different Traffic Conditions on Urban Road Traffic Noise

Road traffic noise is one of the most relevant sources in the environmental noise pollution of the urban areas where dynamics of the traffic flow are much more complicated than uninterrupted traffic flows. It is evident that different traffic conditions would play the role in the urban traffic flow considering the dynamic nature of the traffic flow on one hand and presence of traffic lights, roundabouts, etc. on the other hand. The main aim of the current paper is to investigate the effect of different traffic conditions on urban road traffic noise. To do so, different traffic conditions have been theoretically generated by the Monte Carlo Simulation technique following the distribution of traffic speed in the urban roads. The “ASJ RTN-Model” has been considered as a base road traffic noise prediction model which would deal with different traffic conditions including steady and nonsteady traffic flow that would cover the urban traffic flow conditions properly. Having generated the vehicles speeds in different traffic conditions, the emitted noise ( ) and subsequently the noise level at receiver ( ) were estimated by “ASJ RTN-Model.” Having estimated and for each and every vehicle in each traffic condition and taking the concept of transient noise into account, the single event sound exposure levels ( ) in different traffic conditions are calculated and compared to each other. The results showed that decelerated traffic flow had the lowest contribution, compared to congestion, accelerated flow, free flow, oversaturated congestion, and undersaturated flow by 16%, 14%, 12%, 12%, and 10%, respectively. Moreover, the distribution of emitted noise and noise level at receiver were compared in different traffic conditions. The results showed that traffic congestion had considerably the maximum peak compared to other traffic conditions which would highlight the importance of the range of generated noise in different traffic conditions.

[1]  Hesham Rakha,et al.  An Automatic Traffic Congestion Identification Algorithm Based on Mixture of Linear Regressions , 2016, SMARTGREENS/VEHITS.

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

[3]  Markos Papageorgiou,et al.  Speed Modeling and Travel Time Estimation Based on Truncated Normal and Lognormal Distributions , 2012 .

[4]  Raymond Cluydts,et al.  Nocturnal road traffic noise: A review on its assessment and consequences on sleep and health. , 2010, Environment international.

[5]  A. Hansell,et al.  Noise annoyance--a modifier of the association between noise level and cardiovascular health? , 2013, The Science of the total environment.

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

[7]  Jenny Head,et al.  Longitudinal effects of aircraft noise exposure on children's health and cognition: A six-year follow-up of the UK RANCH cohort , 2013 .

[8]  Olja Čokorilo,et al.  The estimation of GHG emission costs in road and air transport sector: Case study of Serbia , 2016 .

[9]  Borna Abramović,et al.  Infrastructure Access Charges , 2018 .

[10]  Shinichi Sakamoto,et al.  Road traffic noise prediction model ``ASJ RTN-Model 2013'': Report of the Research Committee on Road Traffic Noise , 2015 .

[11]  Pierre Aumond,et al.  Estimation of road traffic noise emissions: the influence of speed and acceleration , 2018 .

[12]  Joseph Quartieri,et al.  SPEED DISTRIBUTION INFLUENCE IN ROAD TRAFFIC NOISE PREDICTION , 2013 .

[13]  Barbara Griefahn,et al.  Noise emitted from road, rail and air traffic and their effects on sleep , 2006 .

[14]  P. Dey,et al.  Speed Distribution Curves under Mixed Traffic Conditions , 2006 .

[15]  Mohammad Maghrour Zefreh,et al.  Economic Investigation of a Public Transport Support Policy: A Case Study at Budapest , 2017 .

[16]  Shoji Matsumoto,et al.  CHARACTERISTICS OF PASSING AND PAIRED RIDING MANEUVERS OF MOTORCYCLE , 2005 .

[17]  Á. Török,et al.  Exposure to Traffic-related Air Pollution and the Onset of Childhood Asthma: A Review of the Literature and the Assement Methods Used , 2017 .

[18]  István Varga.  A Congestion Detection Based Traffic Control for Signalized Intersection , 2017 .

[19]  Árpád Török,et al.  Assessing the Need for Applying Multimodal Speed Distribution in Road Transport Macro Emission Estimation , 2016 .

[20]  Frank A Haight,et al.  A PRACTICAL METHOD FOR IMPROVING THE ACCURACY OF VEHICULAR SPEED DISTRIBUTION MEASUREMENTS , 1962 .

[21]  Richard L. Neitzel,et al.  Environmental Noise Pollution in the United States: Developing an Effective Public Health Response , 2013, Environmental health perspectives.

[22]  Pichai Pamanikabud,et al.  Noise prediction for highways in Thailand , 2002 .

[23]  Jenny Head,et al.  Does Traffic-related Air Pollution Explain Associations of Aircraft and Road Traffic Noise Exposure on Children's Health and Cognition? A Secondary Analysis of the United Kingdom Sample From the RANCH Project , 2012, American journal of epidemiology.

[24]  Feng Li,et al.  Dynamic simulation and characteristics analysis of traffic noise at roundabout and signalized intersections , 2017 .

[25]  Jens Forssén,et al.  Dynamic traffic noise assessment tool: A comparative study between a roundabout and a signalised intersection , 2018 .