Modal analysis of real-time, real world vehicular exhaust emissions under heterogeneous traffic conditions

Jaikumar, Rohit; Nagendra, S.M. Shiva; Sivanandan, R.

doi:10.1016/j.trd.2017.06.015

Cited by 51 publications

(14 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The domain was determined from the location of entry and exit routes of vehicular and pedestrian traffi c, establishing a study area of 200 m 2 , in which counts were made on the representative days of the week, during peak traffi c hours. In the same way that the vehicle count will defi ne the strategic points to determine the number of people, in the entry and exit of the domain, such as areas where the university population usually agglomerates at certain times, including public transport stops (Jaikumar, Shiva Nagendra & Sivanandan, 2017), the counting in each one of the selected points was carried out simultaneously. PTV VISSIM software jointly with PTV VISWALK, allowed to virtually locate the study domain with all the components that are part of it, such as sidewalks, roads, public transport stops and confl ict areas, e.g.…”

Section: Methodsmentioning

confidence: 99%

Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Paredes

Auqui

Idrovo

et al. 2019

srees

View full text Add to dashboard Cite

Riobamba has areas with high vehicular influence. For the determination of nitrogen dioxide concentrations, passive samplers were used, which were placed at points throughout the domain. The concentrations obtained in the field were interpolated with the information generated with the model traffic emissions software, estimating the relationship between vehicular traffic and the presence of gas. Allow to know the amount of pollutants that breathe about 250 pedestrians on average in the area.

show abstract

Section: Methodsmentioning

confidence: 99%

Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Paredes

Auqui

Idrovo

et al. 2019

srees

View full text Add to dashboard Cite

show abstract

“…At the local scale, traffic network models can provide planners with information about the emission impacts of infrastructure decisions by predicting traffic flows. Some scientific papers [20][21][22][23][24] are reviewed and discussed using vehicle emissions monitoring methods and focused on measuring and analysing world vehicle emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling traffic flow emissions at signalized intersection with PTV vissim

et al. 2021

View full text Add to dashboard Cite

The effect of roadway intersection design is strictly linked to a reduction in traffic congestion, fuel consumption and emissions in an urban area. This paper presents a comparative result of the typical four-legged intersection and roundabout operational performance for effective management. Accordingly, a computer model for estimation traffic emissions for two kinds of intersections is created. This study presents a detailed analysis and modelling traffic flow emissions using PTV vissim software and methodology with reasonable solutions to plan a road intersection.

show abstract

“…There are several applications of vehicle activity data collected from GPS, PAMS, and other sources such as cellular phone records for transportation planning applications and air-quality analyses in the literature ( 2 – 26 ). In the context of heavy-duty vehicle activity, applications seen in the literature can be broadly classified as:…”

Section: State Of the Practicementioning

confidence: 99%

Use of Vehicle Telematics Data to Characterize Drayage Heavy-Duty Truck Idling

Farzaneh

Johnson

Jaikumar

et al. 2020

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

The goal of this study is to evaluate potential air-quality applications of global positioning system (GPS) data from trucks in the Houston–Galveston Area Council’s (H-GAC) Drayage Loan Program (DLP), along with data collection using portable activity measurement systems (PAMS). PAMS data were collected at 1 Hz frequency from 39 heavy-duty trucks. Of these, 31 were diesel-powered DLP participant trucks operating in the Houston area and the remainder were local CNG trucks. The DLP participant trucks were also being tracked by H-GAC via GPS. PAMS and GPS data were used for data analyses to provide insight into idling events, truck activity (vehicle miles traveled and speeds), and geospatial analysis of trip origins and destinations. Finally, the GPS and PAMS datasets for the DLP participant trucks were used to analyze differences between GPS and PAMS data for vehicle idling and activity. The data analyses were conducted using an integrated data analytics tool (Microsoft Power BI), which allowed for data integration, analysis, dashboarding, and mapping on a single platform. The study results show that 91% of DLP participant truck activities occur during the day, with low average speeds largely from extensive idling. The data analytics system developed in this study can be used to identify, implement, and measure performance of idling reduction strategies for a specific region and operation type. For example, the data can be used to investigate whether a battery–electric air conditioning system is effective for the operation of a target fleet.

show abstract

Modal analysis of real-time, real world vehicular exhaust emissions under heterogeneous traffic conditions

Cited by 51 publications

References 22 publications

Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Modelling traffic flow emissions at signalized intersection with PTV vissim

Use of Vehicle Telematics Data to Characterize Drayage Heavy-Duty Truck Idling

Contact Info

Product

Resources

About