Microscale traffic simulation and emission estimation in a heavily trafficked roundabout in Madrid (Spain)

Quaassdorff, Christina Violetta; Borge, Rafael; Pérez, J. L.; Lumbreras, Julio; Paz, David de la; Andrés, Juan Manuel de

doi:10.1016/j.scitotenv.2016.05.051

Cited by 69 publications

(49 citation statements)

References 25 publications

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“…For real driving cycles, the estimation of propulsive work, fuel efficiency, and emissions demands the integration of field data based on the vehicle specific power (VSP) [30][31][32], or the processing of computationally generated speed profiles over a given route. The latter approach is possible using microscopic models, such as those embedded in traffic simulators like SUMO [33] or VISSIM [34], and then computing fuel efficiency or emissions through microsimulation models like PHEM [35], CMEM [36], or VT-Micro [5]. However, these microscale computational models are opaque to the user.…”

Section: Introductionmentioning

confidence: 99%

Impact of Road Geometry on Vehicle Energy Consumption and CO2 Emissions: An Energy-Efficiency Rating Methodology

2019

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This study presents a methodology for classifying road traffic energy efficiency. The indicators defined discriminate the impact of the road vertical and horizontal alignments upon energy consumption, disclosing the improvement potential of the road as a function of the traffic origin–destination matrix. The methodologic approach is based on basic physical principals, thus guarantying its generality, as opposed to the usual empirical mesoscale approaches. A simplified algebraic procedure is also proposed, resorting to simplified driving cycles and a constant speed assumption (CSA), thus avoiding the intricacy of microscale/microsimulation models. The simplified methodology was validated against field data acquired on the Portuguese highway A25. A microscale vehicle specific power analysis combined with detailed fuel models is compared against CSA results. The findings demonstrate its adequacy for free-flow traffic conditions and the importance of classifying road traffic energy-efficiency. For the case studied, it was found that 49.5% of the round trip propulsive energy expended by a 37-ton truck on the A25, a modern road, was degraded as heat through braking. The difference found between the microscale analysis and CSA approach is 0.8%, despite the speed unevenness, varying between 32 and 96 km/h, with a standard deviation of 24% of the average speed.

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Section: Introductionmentioning

confidence: 99%

Impact of Road Geometry on Vehicle Energy Consumption and CO2 Emissions: An Energy-Efficiency Rating Methodology

2019

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“…To analyse different measures and policy options in hot-spots, a detailed analysis of the emissions results obtained with the simulation system for a very complex and highly polluted microenvironment are presented, in this case, FL square (Quaassdorff et al, 2016a(Quaassdorff et al, , 2016b).…”

Section: Detailed Analysis Of Traffic Emissionsmentioning

confidence: 99%

“…An intensive field campaign was made to compile all the information needed to feed the microscale traffic simulation model VISSIM for FL square. The fundamental data consists on traffic volume, composition and routes along with data of the traffic network for the traffic microsimulation model (Quaassdorff et al, 2016a). For the additional data required for the pedestrian simulation, a field campaign was carried out to count the number of pedestrian within the vicinity of FL.…”

Section: Traffic and Pedestrian Datamentioning

confidence: 99%

“…Therefore, there is a need to test microsimulation models that may reproduce with great detail traffic activity in small areas and may provide reliable emissions (Quaassdorff et al, 2016a) and support the definition of effective pollution abatement options.…”

Section: Assessment Of Emission Abatement Measures On Urban Hot-spotsmentioning

confidence: 99%

“…For the comparison of the emission models, driving patterns for individual vehicles were generated with the traffic micro-simulation model VISSIM providing speed-time profiles with 1 second resolution under different traffic congestion conditions (Quaassdorff et al, 2016) for two hot-spot areas: Gabba in Brisbane (Australia) and FL in Madrid (Spain).…”

Section: Comparison To Modal Models Phem-light and Pδpmentioning

confidence: 99%

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Development of a microscale traffic emission simulation system : application to Madrid for the definition of air quality improvement measures = Desarrollo de un sistema de simulación de emisiones del tráfico rodado a microescala : aplicación a Madrid para la definición de medidas de mejora de la calidad del aire

Quaassdorff¹

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Rafael Borge, for trusting me to carry out this work and for his guidance throughout the thesis. Especially for the opportunities that have arisen from this work and that have been possible due to his involvement. Of course, to all the coworkers from the TARIndustrial group and people from the Department of Industrial Chemistry and Environmental Engineering that travelled with me through this journey. With their help and good advice this work was improved. To the whole group of the TECNAIRE-CM project. Their effort and work has leed to very good results and many possibilities have arisen in this research line. To Ángeles Cristóbal from the Madrid City Council, Ana Rosa Llorente and Gregorio Vallejo from the Planning Department in the General Subdirectorate for the Implementation of Mobility and Transport for providing all the necessary permits and traffic data to carry out this work. Especial thanks to Dr. Robin Smit and Dr. Mark Hickman for their kindness by giving me the opportunity to carry out my international research stay at the University of Queensland. Also, for facilitating my professional and personal integration during my stay as well as providing all accesses to the necessary software (PΔP). I cannot forget the colleagues of the Fire and Transport Group of the School of Civil Engineering (AEB) who treated me as one more since the very first day. I would also like to thank Hans-Jurgen Don, Ignacio Galindo and Vidal Roca for supplying PTV software which has been fundamental for the accomplishment of this work. Also to Arjan Eijk from TNO for the help provided with the software VERSIT+ micro /ENVIVER. On the other hand also to Stefan Hausberger and Martin Dippold from TUGraz for providing PHEM and PHEM-light software's. And to Kyung-Hwan Kwak (Kangwon National University) for collaborating in the validation of the simulation system. Last but not least, to my family and all those people who during this time have always shown me their unconditional support, even in the hardest moments. Sincerely, thank you very much to all, I am sure that otherwise it would not have been possible. The value of a person is defined by V = (K + S) x A. Knowledge and Skills add up but, Attitude multiplies.

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Evaluating Smart Urban Freight Solutions Using Microsimulation

Karakikes

Mitropoulos

Savrasovs

2018

Lecture Notes in Networks and Systems

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Microscale traffic simulation and emission estimation in a heavily trafficked roundabout in Madrid (Spain)

Cited by 69 publications

References 25 publications

Impact of Road Geometry on Vehicle Energy Consumption and CO2 Emissions: An Energy-Efficiency Rating Methodology

Impact of Road Geometry on Vehicle Energy Consumption and CO2 Emissions: An Energy-Efficiency Rating Methodology

Evaluating Smart Urban Freight Solutions Using Microsimulation

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