Modelling saturation flow rate and right turn adjustment factor using area occupancy concept

Preethi, P.; Ashalatha, R.

doi:10.1016/j.cstp.2017.11.001

Cited by 9 publications

(5 citation statements)

References 15 publications

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“…The area-occupancy concept was established by Mallikarjun and Rao [5] to depict the traffic density of a roadway in India. For the investigation of traffic characteristics, the area-occupancy idea was applied instead of density in their paper [13]. There were three locations of study in which five types of vehicles have been considered in each location.…”

Section: Relationship Between Area Occupancy and Vehicularmentioning

confidence: 99%

Determination of Area Occupancy of the Vehicles and its Effectiveness in Heterogeneous Traffic Conditions

Doley,

Kumar,

Ahmed

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Traffic management is becoming a major concern as the number of vehicles on the road increases. Different types of traffic studies are conducted for different traffic management, especially in developing countries like India. To address traffic heterogeneity, only the vehicular composition is not sufficient. In this study, it has tried to include other characteristics like area occupancy for the traffic analysis. The area occupancy of vehicles was obtained, and the relationship between area occupancy and vehicular composition was investigated for various types of vehicles in Silchar. Video graphic traffic data were collected for 30 minutes, and a detection zone length of 30 meters was considered. Three locations in Silchar were considered in this study. The relationship between several characteristics of area occupancy was determined using SPSS statistical software. Relation between area occupancy and vehicular composition was found for each type of vehicle considered. It was observed that faster vehicles have a weaker relationship with area occupancy than slower vehicles. Initially, it was assumed that area occupancy depends only on vehicular composition, and the R2 was found to be 0.79. Finally, it was found that area occupancy depends on the vehicular composition, space mean speed and projected area and the corresponding R2 was found to be 0.88. The values may differ for different roads in the same city.

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Section: Relationship Between Area Occupancy and Vehicularmentioning

confidence: 99%

Determination of Area Occupancy of the Vehicles and its Effectiveness in Heterogeneous Traffic Conditions

Doley,

Kumar,

Ahmed

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…It was found that the saturation flow rate per lane width is a variable between 414 and 682 vehicles per hour of green per lane width. Preethi and Ashalatha [20] estimated the field saturation flow rate based on the area occupancy concept. A multiple linear regression equation was developed considering parameters: approach width, percentage of two-wheelers, percentage of buses, and percentage of three-wheelers.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of vehicle composition on saturation flow at signalised intersections in mixed traffic conditions

Sushmitha

Ravishankar

2020

IET Intelligent Transport Systems

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“…Such models can indirectly include the effect of having to yield to bicycle traffic by reducing the capacity of relevant turn moves by applying relevant adjustment factors. Estimating such adjustment factors for bicycle traffic has received quite some attention in the literature (Allen et al, 1998;Brilon and Miltner, 2005;Chen et al, 2007;Li et al, 2009Li et al, , 2011Guo et al, 2012;Chen et al, 2014;Preethi and Ashalatha, 2018) and is a common way to include car travel time delays at intersections caused by prioritised traffic in flow-based models. Similar adjustments can be made for other types of non-motorised traffic (Mondal and Gupta, 2020) such as pedestrians (Niittymäki and Pursula, 1997;Milazzo et al, 1998;Chen et al, 2008Chen et al, , 2015Roshani and Bargegol, 2017).…”

Section: Introductionmentioning

confidence: 99%

Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles

2022

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Modelling saturation flow rate and right turn adjustment factor using area occupancy concept

Cited by 9 publications

References 15 publications

Determination of Area Occupancy of the Vehicles and its Effectiveness in Heterogeneous Traffic Conditions

Determination of Area Occupancy of the Vehicles and its Effectiveness in Heterogeneous Traffic Conditions

Effect of vehicle composition on saturation flow at signalised intersections in mixed traffic conditions

Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles

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