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

Urban Sound Sympos osium April 3-5, 2019 in Ghent, Belgium Arnaud Can Traffic Noise e Dynamics 1 Cité Végétale / Collection Luc Schuiten

Cité végétale / Collection Luc Schuiten Expected urban sound environment 2

Experienced urban sound environment 3

Noise mapping Noise emission model Input data Sound propagation calculation 4

Noise mapping 1. Misses es noise e dynamics 5

Noise mapping 1. Misses es noise e dynamics 2. Misses es sound sources es multiplicity 6

Noise mapping 1. Misses es noise e dynamics 2. Misses es sound sources es multiplicity 3. Misses es traffic dynamics Can A., Botteldooren D. (2011). Towards traffic situation noise 7 emission models, Acta Acustica united with Acustica, 97(5), 900-903

Noise mapping 1. Misses es noise e dynamics 2. Misses es sound sources es multiplicity 3. Misses es traffic dynamics 8

Dynamic modelling Idea: rely on traffic modelling… .. Which is common in the field of airborne pollution Traffic Model Vehicle Trajectories 9 Source: Symuvia (LICIT, Ifsttar/ENTPE)

From Static to Dynamic modelling Traffic Static ic Input data ( Q,V, % PL ) Noise emission model Sound propagation calculation 9

From Static to Dynamic modelling Dynamic ic Noise emission model L w,1s Sound propagation calculation 10

From Static to Dynamic modelling Closer er from om Noise emission model soundscape...? Sound propagation calculation Advanced indicators: Statistical indicators • Number of events • Noise rhythm • 11

From Static to Dynamic modelling Accounts for traffic dynamics Traffic assignment • Changes in vehicle kinematics • Noise emission model Sound propagation calculation Succes esses es in decis ision on making? 12

From Static to Dynamic modelling Airborne pollutants, consumptions Noise emission model Sound propagation calculation Multic icrit iter eria ia Asses essmen ent 13

Dynamic modelling Prerequisites If and only if… The traffic model captures the impact of the traffic strategy on the variables of interest Noise emission model Sound propagation calculation 15

Dynamic modelling Focus on traffic road traffic modelling Symuvia Paramics Vissim Matsim 16

Dynamic modelling Prerequisites If and only if… The traffic model captures the impact of the traffic strategy on the variables of interest Noise emission model The simplification of trajectories within the traffic model does not impact the emissions Sound propagation calculation Da Rocha, T., Can, A., Parzani, C., Jeanneret, B., Trigui, R., & Leclercq, L. (2013). Are vehicles trajectories simulated by 17 dynamic traffic models relevant for estimating fuel consumption?. Transportation Research Part D, 24, 17-26.

Dynamic modelling Prerequisites If and only if… The traffic model captures the impact of the traffic strategy on the variables of interest Noise emission model The simplification of trajectories within the traffic model does not impact the emissions 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 18 speed and acceleration. Transportation Research Part D , 58, 155-171.

Dynamic modelling Experimental validation L Aeq , L 50 , L 1, L Aeq,1s distribution, traffic signal scale indicators, spectrum indicators • 19 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 L Aeq , L 50 , L 1, L Aeq,1s distribution, traffic signal scale indicators, spectrum indicators • 20 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 Case studies Reference Traffic Indicators Network Tested Strategy Comparison intersection T and Heltimo et al. HUTSIM L Aeq One intersection (2003) roundabout L 5 – L 95 De Coensel et al. PARAMICS 1km² network Differents levels of demand (2005) α Bhaskar et al. AVENUE L Aeq 5 * 3 km network Interdiction of the zone to heavy vehicles (2007) Cellular L Aeq Quartieri et al. (2008) One road segment - Automata Comparaison between signalized Chevalier et al. SYMUVIA L Aeq One intersection (2009) intersection and roundabout L Aeq , L 1 , L 10 , L 50 , Three Introduction of bus line, green wave, SYMUVIA Can et al., 2010. L 90 , L max/cycle , intersections roundabout L min/cycle Différents réglages de feux sont comparés, De Coensel et al., PARAMICS L Aeq Five intersections 2012. pour différents débits. L Aeq , L 10 , L 50 , L 90 , Speed limitation from 50 to 40 km/h, PARAMICS 240*160m network Luo et al, 2012 distributions des Decrease nmuber of vehicles (-40%), L Aeq,1s signalized intersection L Aeq , L A5 , L A1 , De Coensel et al. AIMSUN Road segment - (2016) L Amax Comparaison between signalized Li et al., 2017 PARAMICS L Aeq , L 10 , L 50 , L 90 One intersection intersection and roundabout PARAMICS L Aeq , L 10 , L 50 , L 90 Road segment Introduction of signalized intersection Hou et al., 2017 L Aeq , L A10 , L A50 , Comparaison between signalized L A90 , NE (nombre Estevez-Mauriz & VISSIM One intersection intersection and roundabout Forssen (2018). d’événements), Introduction electric vehicles CMT 50

Dynamic modelling : Towards city scale evaluations SYMUVIA Noise emission model Sound propagation calculation Vehicle trajectories (1s-position, speed, acceleration) 22

Noise Modelling Free and Open-source tool for Noise Mapping Propagation 3 CNOSSOS – Directive 2015 NMPB Ray tracing 2 Reflection Vertical and Horizontal Difraction Emission 1 CNOSSOS – Road traffic NMPB – Road Traffic & Tramway “ NoiseModelling: An Open Source GIS Based Tool to Produce Environmental 23 Noise Maps”, E. Bocher, G. Guillaume, J. Picaut , G. Petit, N. Fortin, 2019

Noise Modelling Free and Open-source tool for Noise Mapping Ray Tracing Noise mapping 24

Noise Modelling Free and Open-source tool for Noise Mapping Ray Tracing Multi-Sources Probabilistic Noise mapping Aumond P., Jacquesson L., Can. Probabilistic modeling framework for 25 multisource sound mapping, Applied Acoustics, 2018, 139, 34-43

Dynamic modelling : Towards city scale evaluations 10 km² SYMUVIA Noise emission model Sound propagation calculation Vehicle trajectories (1s-position, speed, accleration) 26

Dynamic modelling Perspectives : Towards city scale evaluations Impact on noise e of Morning rush hour Noise increase at small streets Noise dynamics modified : rarefaction of calm periods Can, A., Aumond, P., Bécarie, C., & Leclercq, L. (2018). Approche dynamique pour l’étude de l’emprise 25 spatiale du bruit de trafic routier aux heures de pointe, Recherche en Transport Sécurité

Merci pour votre attention on ! Cense project: http://cense.ifsttar.fr/ arnaud.can@ifsttar.fr +33 (0) 2 40 84 58 53 Noise modelling: http://noise-planet.org/noisecapture.html 28