How to combine different microsimulation tools to assess the environmental impacts of road traffic? Lessons and directions

Fontes, Tânia; Pereira, S.; Fernandes, Paulo; Bandeira, Jorge; Coelho, Margarida C.

doi:10.1016/j.trd.2014.11.012

Cited by 49 publications

(19 citation statements)

References 29 publications

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“…On the other hand, type C models incorporate the driving pattern data in the emission model and are adequate for mesoscale applications (Smit et al, 2008). The selected modelling system for this work consists of two components: i) PTV VISSIM v. 6.22 (one of the most used traffic microsimulation models in research, Fontes et al, 2015), which is used for microscale traffic flow modelling, and ii) TNO ENVIVER Enterprise interface (a high-resolution post-processor) that link the microscale emissions model VERSIT+ micro (based on VERSIT+ models for emission calculations of simulated traffic streams) to VISSIM's traffic data for the calculation of traffic related emissions. These models have been found useful to provide very fine spatial and temporal resolution, suitable for microscale studies in local hot-spots (Al Alami, 2012;Bigazzi et al, 2010;Csikós and Varga, 2012).…”

Section: Modelling Systemmentioning

confidence: 99%

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

Quaassdorff

Borge

Pérez

et al. 2016

Science of The Total Environment

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Section: Modelling Systemmentioning

confidence: 99%

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

Quaassdorff

Borge

Pérez

et al. 2016

Science of The Total Environment

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“…In Gokhale (2012), the environmental effect of synchronised flow patterns at intersections is analyzed. Fontes et al (2015) compare the Eulerian and Lagrangian simulation approaches and their effect on the fidelity of emission inventories.…”

Section: Introductionmentioning

confidence: 99%

A hybrid model predictive control for traffic flow stabilization and pollution reduction of freeways

Csikós

Varga

Hangos

2018

Transportation Research Part D: Transport and Environment

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In this work a control system is developed and analyzed for the suppression of moving jamwaves and the reduction of pollutant concentrations near motorways. The system is based on the second-order macroscopic freeway traffic model METANET, joined by an emission dispersion model, introduced in a previous work of the authors. For the control tasks dedicated controllers are designed, both using the nonlinear model predictive control method. The control objectives require a distinction in the utilized control measures, thus different controllers are designed and used in predefined control modes. The first mode of the controller is responsible for keeping pollutant concentrations below prescribed limits under stable conditions. The second mode of the controller is working in case of a shockwave threat, aiming for traffic stabilization. Between the control modes switching is based on an appropriate rule set that satisfies the stability of the controlled system. The hybrid controller structure is realized by a finite automata. A complex case study is presented for the evaluation of the suggested controller.

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“…Individual driver behavior and individual vehicle's real-time space-time trajectories are explicitly represented through traffic microsimulation models and these produce detailed vehicle operation, instantaneous speed and acceleration of vehicles that are necessary for microscopic emissions models. A review by Fontes et al (2015) examined combining various micro-simulation tools for assessing the impacts of road traffic on the environment, and identified best practices which would aim to minimize errors in combining these. Int Panis et al (2006) presented a methodology for making instantaneous emission modeling compatible with traffic microsimulation models.…”

Section: Introductionmentioning

confidence: 99%

Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

Nyhan

Sobolevsky

Kang

et al. 2016

Atmospheric Environment

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h i g h l i g h t sWe present a novel method for predicting air pollution emissions using transport data. Study uses measured microscopic transport data and a microscopic emissions model. GPS data from over 15,000 vehicles were analyzed to quantify speeds and accelerations. CO 2 , NO x , VOCs and PM were modeled in high spatio-temporal resolution. Highly localized areas of elevated emissions were identified. a b s t r a c t Air pollution related to traffic emissions pose an especially significant problem in cities; this is due to its adverse impact on human health and well-being. Previous studies which have aimed to quantify emissions from the transportation sector have been limited by either simulated or coarsely resolved traffic volume data. Emissions inventories form the basis of urban pollution models, therefore in this study, Global Positioning System (GPS) trajectory data from a taxi fleet of over 15,000 vehicles were analyzed with the aim of predicting air pollution emissions for Singapore. This novel approach enabled the quantification of instantaneous drive cycle parameters in high spatio-temporal resolution, which provided the basis for a microscopic emissions model. Carbon dioxide (CO 2 ), nitrogen oxides (NO x ), volatile organic compounds (VOCs) and particulate matter (PM) emissions were thus estimated. Highly localized areas of elevated emissions levels were identified, with a spatio-temporal precision not possible with previously used methods for estimating emissions. Relatively higher emissions areas were mainly concentrated in a few districts that were the Singapore Downtown Core area, to the north of the central urban region and to the east of it. Daily emissions quantified for the total motor vehicle population of Singapore were found to be comparable to another emissions dataset. Results demonstrated that highresolution spatio-temporal vehicle traces detected using GPS in large taxi fleets could be used to infer highly localized areas of elevated acceleration and air pollution emissions in cities, and may become a complement to traditional emission estimates, especially in emerging cities and countries where reliable fine-grained urban air quality data is not easily available. This is the first study of its kind to investigate

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How to combine different microsimulation tools to assess the environmental impacts of road traffic? Lessons and directions

Cited by 49 publications

References 29 publications

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

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

A hybrid model predictive control for traffic flow stabilization and pollution reduction of freeways

Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

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