Traffic Noise e Dynamics 1 Cit Vgtale / Collection Luc Schuiten - - PowerPoint PPT Presentation

Urban Sound Sympos

• sium

April 3-5, 2019 in Ghent, Belgium

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Traffic Noise e Dynamics

Arnaud Can

Cité Végétale / Collection Luc Schuiten

Expected urban sound environment

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Cité végétale / Collection Luc Schuiten

Experienced urban sound environment

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Noise emission model Sound propagation calculation

Input data

Noise mapping

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Noise mapping

• 1. Misses

es noise e dynamics

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Noise mapping

• 1. Misses

es noise e dynamics

• 2. Misses

es sound sources es multiplicity

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Noise mapping

• 3. Misses

es traffic dynamics

• 1. Misses

es noise e dynamics

• 2. Misses

es sound sources es multiplicity

Can A., Botteldooren D. (2011). Towards traffic situation noise emission models, Acta Acustica united with Acustica, 97(5), 900-903

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Noise mapping

• 3. Misses

es traffic dynamics

• 1. Misses

es noise e dynamics

• 2. Misses

es sound sources es multiplicity

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Traffic Model Vehicle Trajectories

Source: Symuvia (LICIT, Ifsttar/ENTPE)

Dynamic modelling

Idea: rely on traffic modelling… .. Which is common in the field of airborne pollution

Traffic Input data (Q,V, %PL )

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Noise emission model Sound propagation calculation

From Static to Dynamic modelling Static ic

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From Static to Dynamic modelling

Noise emission model Sound propagation calculation

Dynamic ic

Lw,1s

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Noise emission model Sound propagation calculation

Advanced indicators:

• Statistical indicators
• Number of events
• Noise rhythm

Closer er from

• m

soundscape...? From Static to Dynamic modelling

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Noise emission model Sound propagation calculation

Accounts for traffic dynamics

• Traffic assignment
• Changes in vehicle kinematics

Succes esses es in decis ision

• n making?

From Static to Dynamic modelling

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Noise emission model Sound propagation calculation

Airborne pollutants, consumptions

Multic icrit iter eria ia Asses essmen ent From Static to Dynamic modelling

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Dynamic modelling

Prerequisites

The traffic model captures the impact of the traffic strategy on the variables of interest

If and only if…

Noise emission model Sound propagation calculation

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Dynamic modelling

Focus on traffic road traffic modelling Symuvia Paramics Vissim Matsim

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Dynamic modelling

Prerequisites

The traffic model captures the impact of the traffic strategy on the variables of interest

If and only if…

Noise emission model Sound propagation calculation

The simplification of trajectories within the traffic model does not impact the emissions

Da Rocha, T., Can, A., Parzani, C., Jeanneret, B., Trigui, R., & Leclercq, L. (2013). Are vehicles trajectories simulated by dynamic traffic models relevant for estimating fuel consumption?. Transportation Research Part D, 24, 17-26.

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Dynamic modelling

Prerequisites

The traffic model captures the impact of the traffic strategy on the variables of interest

If and only if…

Noise emission model Sound propagation calculation

The emission model captures the impact of the kinematics variables

Can, A., & Aumond, P. (2018). Estimation of road traffic noise emissions: the influence of speed and acceleration. Transportation Research Part D, 58, 155-171.

The simplification of trajectories within the traffic model does not impact the emissions

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• LAeq, L50, L1, LAeq,1s distribution, traffic signal scale indicators, spectrum indicators

Can, A., Leclercq, L., Lelong, J., & Defrance, J. (2009b). Accounting for traffic dyn. improves noise assessment: experimental evidence. App. Ac., 70(6):821–829. Can, A., Leclercq, L., Lelong, J., & Botteldooren, D. (2010b). Traffic noise spectrum analysis: Dyn. modeling vs. Exp. observations. App Ac. 2010; 71(8): 764-770.

Dynamic modelling

Experimental validation

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• LAeq, L50, L1, LAeq,1s distribution, traffic signal scale indicators, spectrum indicators

Can, A., Leclercq, L., Lelong, J., & Defrance, J. (2009b). Accounting for traffic dyn. improves noise assessment: experimental evidence. App. Ac., 70(6):821–829. Can, A., Leclercq, L., Lelong, J., & Botteldooren, D. (2010b). Traffic noise spectrum analysis: Dyn. modeling vs. Exp. observations. App Ac. 2010; 71(8): 764-770.

Dynamic modelling

Experimental validation

Reference

Traffic Indicators Network Tested Strategy Heltimo et al. (2003)

HUTSIM LAeq One intersection Comparison intersection T and roundabout

De Coensel et al. (2005)

PARAMICS L5 – L95 α 1km² network Differents levels of demand

Bhaskar et al. (2007)

AVENUE LAeq 5 * 3 km network Interdiction of the zone to heavy vehicles

Quartieri et al. (2008)

Cellular Automata LAeq One road segment

• Chevalier et al.

(2009)

SYMUVIA LAeq One intersection Comparaison between signalized intersection and roundabout

Can et al., 2010.

SYMUVIA LAeq, L1, L10, L50, L90, Lmax/cycle, Lmin/cycle Three intersections Introduction of bus line, green wave, roundabout

De Coensel et al., 2012.

PARAMICS LAeq Five intersections Différents réglages de feux sont comparés, pour différents débits.

Luo et al, 2012

PARAMICS LAeq, L10, L50, L90, distributions des LAeq,1s 240*160m network Speed limitation from 50 to 40 km/h, Decrease nmuber of vehicles (-40%), signalized intersection

De Coensel et al. (2016)

AIMSUN LAeq, LA5, LA1, LAmax Road segment

• Li et al., 2017

PARAMICS LAeq, L10, L50, L90 One intersection Comparaison between signalized intersection and roundabout

Hou et al., 2017

PARAMICS LAeq, L10, L50, L90 Road segment Introduction of signalized intersection

Estevez-Mauriz & Forssen (2018).

VISSIM LAeq, LA10, LA50, LA90, NE (nombre d’événements), CMT One intersection Comparaison between signalized intersection and roundabout Introduction electric vehicles

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Dynamic modelling

Case studies

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Dynamic modelling: Towards city scale evaluations

Noise emission model Sound propagation calculation

Vehicle trajectories

(1s-position, speed, acceleration)

SYMUVIA

Emission

CNOSSOS – Road traffic NMPB – Road Traffic & Tramway

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Ray tracing

Reflection Vertical and Horizontal Difraction

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Propagation

CNOSSOS – Directive 2015 NMPB

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Noise Modelling

Free and Open-source tool for Noise Mapping

“NoiseModelling: An Open Source GIS Based Tool to Produce Environmental

Noise Maps”, E. Bocher, G. Guillaume, J. Picaut , G. Petit, N. Fortin, 2019

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Ray Tracing Noise mapping

Noise Modelling

Free and Open-source tool for Noise Mapping

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Ray Tracing Multi-Sources Probabilistic Noise mapping

Noise Modelling

Free and Open-source tool for Noise Mapping

Aumond P., Jacquesson L., Can. Probabilistic modeling framework for multisource sound mapping, Applied Acoustics, 2018, 139, 34-43

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Dynamic modelling : Towards city scale evaluations

Noise emission model Sound propagation calculation

Vehicle trajectories

(1s-position, speed, accleration)

SYMUVIA

10 km²

Can, A., Aumond, P., Bécarie, C., & Leclercq, L. (2018). Approche dynamique pour l’étude de l’emprise spatiale du bruit de trafic routier aux heures de pointe, Recherche en Transport Sécurité

Impact on noise e of Morning rush hour Noise increase at small streets Noise dynamics modified : rarefaction of calm periods

Dynamic modelling

Perspectives : Towards city scale evaluations

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Merci pour votre attention

• n !

arnaud.can@ifsttar.fr +33 (0) 2 40 84 58 53 Cense project:

http://cense.ifsttar.fr/

Noise modelling:

http://noise-planet.org/noisecapture.html