Comparative analysis of saturation flow using various PCU estimation methods Article Swipe
Satyajit Mondal
,
Vijai Kumar Arya
,
Ankit Gupta
,
Samsi Awal
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.trpro.2020.08.168
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.trpro.2020.08.168
The magnitude and nature of traffic flow in developing countries are difficult to evaluate due to its mix traffic conditions. In transportation network, intersection plays a vital role to increase the efficiency of the entire road network. Analysis of these nodal points (intersection) is required to evaluate the performance of the intersection through the assessment of operational parameters such as saturation flow and its level of service (LOS). However, the complexity of discharge flow in Indian scenario is mainly due to its mixed properties of traffic stream where both motorized and non-motorized vehicles are traveling in the same stretch without any lane discipline. Also, no single vehicle dominates the traffic stream consequently prediction of saturation flow is more sensitive to that mixed traffic. The passenger car unit is a common platform for the conversion of mixed traffic into a standard unit by taking passenger car as a conventional vehicle. The present study focuses towards the analysis saturation flow at signalized intersection using various PCU estimation methods under mixed traffic conditions. A detailed comparison of the saturation flow obtained by the each methodology with standard saturation flow value given in HCM (2010) is also presented. Traffic and vehicular data were collected from six signalized intersections from three Indian cities such as Delhi, Chandigarh and Allahabad using video graphic method. The prospective method resulted in a lower difference in saturation flow respect to HCM (2010) is proposed for non-lane based mixed traffic stream.
Related Topics
Concepts
Intersection (aeronautics)
Saturation (graph theory)
Degree of saturation
Level of service
Transport engineering
Traffic flow (computer networking)
Highway Capacity Manual
Flow (mathematics)
Computer science
Simulation
Engineering
Environmental science
Mathematics
Computer network
Soil science
Soil water
Combinatorics
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.trpro.2020.08.168
- OA Status
- diamond
- Cited By
- 6
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3081716040
All OpenAlex metadata
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https://openalex.org/W3081716040Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.trpro.2020.08.168Digital Object Identifier
- Title
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Comparative analysis of saturation flow using various PCU estimation methodsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
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Satyajit Mondal, Vijai Kumar Arya, Ankit Gupta, Samsi AwalList of authors in order
- Landing page
-
https://doi.org/10.1016/j.trpro.2020.08.168Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.trpro.2020.08.168Direct OA link when available
- Concepts
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Intersection (aeronautics), Saturation (graph theory), Degree of saturation, Level of service, Transport engineering, Traffic flow (computer networking), Highway Capacity Manual, Flow (mathematics), Computer science, Simulation, Engineering, Environmental science, Mathematics, Computer network, Soil science, Soil water, Combinatorics, GeometryTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2024: 1, 2023: 1, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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