Modeling and simulation of CO2 emissions in roundabout intersection

Lakouari, N.; Oubram, O.; Bassam, A.; Hernández, Saúl E. Pomares; Marzoug, Rachid; Ez‐Zahraouy, H.

doi:10.1016/j.jocs.2019.101072

Cited by 19 publications

(7 citation statements)

References 30 publications

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“…Although roundabouts may be a cost-effective solution, the macroscale level tools used did not allow us to investigate in greater depth the dependence of emissions on driver behaviour. To optimize roundabout modelling, Lakuari et al [42] employed numerical simulation to predict CO 2 emissions. Repeated changes in vehicle speed in the ring resulted in greater CO 2 emission rates than at entry or exit lanes, whereas CO 2 emissions reduced where many circulating vehicles slowed down or stopped because of the vehicles entering the roundabout without a safe gap to the vehicles in the circulating lane.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The results of the two-sample t-test for the observed vs. simulated VSP distributions for the sampled roundabouts (direction AB in Figure 2). Since emissions are strongly associated with vehicle speed and acceleration, the process of high speed and aggressive acceleration can produce higher emissions than the process of braking [42]. Under the parameters calibrated with the mean values of 95th percentiles of acceleration and deceleration with reference to the sampled roundabouts, the time percentages were more realistic in the VSP modes 1 to 2 (deceleration), mode 3 (idle) and modes 4 to 7 (acceleration and cruising).…”

Section: Aimsun Calibrationmentioning

confidence: 99%

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Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN

et al. 2022

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In line with globally shared environmental sustainability goals, the shift towards citizen-friendly mobility is changing the way people move through cities and road user behaviour. Building a sustainable road transport requires design knowledge to develop increasingly green road infrastructures and monitoring the environmental impacts from mobile crowdsourced data. In this view, the paper presents an empirically based methodology that integrates the vehicle-specific power (VSP) model and microscopic traffic simulation (AIMSUN) to estimate second-by-second vehicle emissions at urban roundabouts. The distributions of time spent in each VSP mode from instantaneous vehicle trajectory data gathered in the field via smartphone were the starting point of the analysis. The versatility of AIMSUN in calibrating the model parameters to better reflect the field-observed speed-time trajectories and to enhance the estimation accuracy was assessed. The conversion of an existing roundabout within the sample into a turbo counterpart was also made as an attempt to confirm the reproducibility of the proposed procedure. The results shed light on new opportunities in the environmental performance evaluation of road units when changes in design or operation should be considered within traffic management strategies and highlighted the potential of the smart approach in collecting big amounts of data through digital communities.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Aimsun Calibrationmentioning

confidence: 99%

Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN

et al. 2022

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“…In this work, all vehicles are considered fully automated and are moving with constant velocity, imposed by the roundabout rules. This assumption ensures economic traffic, knowing that a roundabout is a place with conglomerate traffic and the acceleration/deceleration produces more pollution due to high fuel consumption [25].…”

Section: Roundabout Cyber-physical Framework-general Informationmentioning

confidence: 99%

“…Moreover, there are various studies in the literature that analysed the quantity of the CO 2 emissions in the intersection [21][22][23][24]. These studies analyse different kinds of roundabouts (not signalised/signalised, with different forms and number of entries/exits) [25,26]. The results prove that repeated variations of velocity contribute to an increase in emissions.…”

Section: Introductionmentioning

confidence: 97%

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

Pauca

Maxim

Caruntu

2021

Sensors

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The evolution of communication networks offers new possibilities for development in the automotive industry. Smart vehicles will benefit from the possibility of connecting with the infrastructure and from an extensive exchange of data between them. Furthermore, new control strategies can be developed that benefit the advantages of these communication networks. In this endeavour, the main purposes considered by the automotive industry and researchers from academia are defined by: (i) ensuring people’s safety; (ii) reducing the overall costs, and (iii) improving the traffic by maximising the fluidity. In this paper, a cyber-physical framework (CPF) to control the access of vehicles in roundabout intersections composed of two levels is proposed. Both levels correspond to the cyber part of the CPF, while the physical part is composed of the vehicles crossing the roundabout. The first level, i.e., the edge-computing layer, is based on an analytical solution that uses multivariable optimisation to minimise the waiting times of the vehicles entering a roundabout intersection and to ensure a safe crossing. The second level, i.e., the cloud-computing layer, stores information about the waiting times and trajectories of all the vehicles that cross the roundabout and uses them for long-term analysis and prediction. The simulated results show the efficacy of the proposed method, which can be easily implemented on an embedded device for real-time operation.

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“…These models are widely used due to its flexibility to incorporate new rules, high generalizations and rich phenomena capturing features [28,[35][36][37][38][39]. The cellular automata introduced by Nagel and Schreckenberg in [40], also known as the NaSch model, has been widely used to study different mechanism in traffic flow [37,[41][42][43][44][45][46].…”

Section: Cellular Automata and Traffic Flowmentioning

confidence: 99%

The Effect of Speed Humps on Instantaneous Traffic Emissions

et al. 2020

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Bad air quality due to free pollutants such as particulate matter (PM), carbon dioxide (CO 2 ), nitrogen oxides (NO x ) and volatile organic components (VOC) increases the risk of long- term health diseases. The impact of traffic-calming measures on air quality has been studied using specialized equipment at control sites or mounted on cars to monitor pollutants levels. However, this approach suffers from a large number of variables on the experiments such as vehicles types, number of monitored vehicles, driver’s behavior, traffic density, time of the day, elapsed monitoring time, road conditions and weather. In this work, we use a cellular automata and an instantaneous traffic emissions model to capture the effect of speed humps on traffic flow and on the generation of CO 2 , NO x , VOC and PM pollutants. This approach allows us to study and characterize the effect of many speed humps on a single lane. We found that speed humps significantly promote the generation of pollutants when the number of vehicles on a lane is low. Our results may provide insight into urban planning strategies to reduce the generation of traffic emissions and lower the risk of long-term health diseases.

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Modeling and simulation of CO2 emissions in roundabout intersection

Cited by 19 publications

References 30 publications

Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN

Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN

Multivariable Optimisation for Waiting-Time Minimisation at Roundabout Intersections in a Cyber-Physical Framework

The Effect of Speed Humps on Instantaneous Traffic Emissions

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