Driving cycle analysis to identify intersection influence zone for urban intersections under heterogeneous traffic condition

Chauhan, Boski P.; Joshi, Gaurang; Parida, Purnima

doi:10.1016/j.scs.2018.05.039

Cited by 17 publications

(12 citation statements)

References 11 publications

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“…The influence area at which queuing occurs upstream of an intersection is typically on the order of as much as 1/4 mile. 72 The relative intersegment variability in 1/4 mile segmentaverage emission rates was consistent with identification of locations that had high 1 Hz emission rates. 43 However, as segment length increases, high emissions events can be averaged out.…”

Section: ■ Materials and Methodssupporting

confidence: 69%

“…Air quality impacts depend on the combined effect of the fleet of vehicles operating on a segment, not just the emissions of one vehicle. The influence area at which queuing occurs upstream of an intersection is typically on the order of as much as 1/4 mile . The relative intersegment variability in 1/4 mile segment-average emission rates was consistent with identification of locations that had high 1 Hz emission rates .…”

Section: Methodssupporting

confidence: 54%

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Geospatial Variation of Real-World Tailpipe Emission Rates for Light-Duty Gasoline Vehicles

Khan

Frey

Rastogi

et al. 2020

Environ. Sci. Technol.

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Spatial variability in real-world on-road tailpipe light-duty gasoline vehicle nitrogen oxides, hydrocarbon, carbon monoxide, and carbon dioxide emission rates, the locations of emissions hotspots, and factors that explain spatial variability are quantified. A sample of 205 vehicles were measured on four predefined round-trip study routes using Portable Emission Measurement Systems. The trips on each route were divided into segments, averaging 1/4 mile in length. Segment-average emission rates were estimated based on measured 1 Hz emission rates. Emission hotspots are defined as segments with ≥90th percentile of segment-average emission rates. The hotspots have average emission rates 2−4 times greater, depending on the pollutant, than other segments. Hotspots are of heterogeneous characteristics including road attributes and vehicle activity metrics. For example, some hotspots were on arterial roads with an upstream signalized intersection and positive road grade, whereas some hotspots were on interstates with positive grade. Vehicle activity metrics, including average vehicle specific power and relative positive acceleration, help identify the hotspots. To reliably identify a fleet-average hotspot, data are needed for at least 36−130 vehicles, depending on the pollutant.

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Section: ■ Materials and Methodssupporting

confidence: 69%

Section: Methodssupporting

confidence: 54%

Geospatial Variation of Real-World Tailpipe Emission Rates for Light-Duty Gasoline Vehicles

Khan

Frey

Rastogi

et al. 2020

Environ. Sci. Technol.

View full text Add to dashboard Cite

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“…However, in the present study, speed-distance is used, giving the actual picture of the drivers’ behavior according to the prevailing traffic environmental conditions. Speed-distance captures the effect of varying acceleration and deceleration ( 18 , 22 , 50 ). Therefore, many researchers suggest using speed as an important parameter for designing the merging and diverging sections ( 32 , 51 ).…”

Section: Methodology and Data Collectionmentioning

confidence: 99%

“…Many studies considered ZOI for analysis of geometric properties, design, emission, and traffic engineering problems ( 18 , 19 , 22 , 26 , 30 , 54 ). Also, some of the studies used the technique of piecewise study for enhancing the accuracy of the developed models for speed and acceleration ( 32 , 41 , 55 , 56 ).…”

Section: Methodology and Data Collectionmentioning

confidence: 99%

“…ZOI is used for analyzing the effects of the approaching traffic in relation to varying acceleration and deceleration rates, geometric variations, emission estimations, and traffic engineering problems (18)(19)(20)(21)(22)(23)(24)(25). It is observed from Table 1 that ZOI varies from facility to facility and even within the same facility.…”

Section: Zone Of Influence (Zoi)mentioning

confidence: 99%

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Novel Approach for Design of Merging and Diverging Length at Toll Plazas: A Case Study

Bari

Chandra

Dhamaniya

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Traffic operations at toll plazas are influenced by the merging and diverging behavior of vehicles near the toll plaza in the flare area. Proper guidelines for the design of merging and diverging sections at toll plazas under mixed traffic conditions are not specified by the Indian Highway Capacity Manual, the Indian Road Congress, or the American Association of State Highway and Transportation Officials. Thus, the present study attempts to develop design criteria for diverging and merging lengths. The field data were collected using the performance-box instrument at Ghoti toll plaza located at National Highway No. 60 in India, operating under mixed traffic conditions. The concept of discretization of speed profile is proposed and applied to segregate sections of the zone of influence into ten equal parts each of 50 m length. The statistical test shows that speed has a significant difference between the sections and also in between the different classes of vehicle. Results of the speed-distance plot show that the second-degree polynomial function is the best fit for zone of deceleration and power function for the zone of acceleration. The study revealed that, for 50 km/h approach speed, the minimum diverging and merging distances should be 125.67–308.98 m and 47.93–294.23 m, respectively. The proposed guidelines for merging and diverging length are useful for the design of the flare area and to improve operational efficiency and level of service at toll plazas operating under mixed traffic conditions.

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Speed Trajectory of Vehicles in VISSIM to Recognize Zone of Influence for Urban-Signalized Intersection

Chauhan

Joshi

Parida

2020

Lecture Notes in Civil Engineering

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Driving cycle analysis to identify intersection influence zone for urban intersections under heterogeneous traffic condition

Cited by 17 publications

References 11 publications

Geospatial Variation of Real-World Tailpipe Emission Rates for Light-Duty Gasoline Vehicles

Geospatial Variation of Real-World Tailpipe Emission Rates for Light-Duty Gasoline Vehicles

Novel Approach for Design of Merging and Diverging Length at Toll Plazas: A Case Study

Speed Trajectory of Vehicles in VISSIM to Recognize Zone of Influence for Urban-Signalized Intersection

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