Empirical capacity model for roundabouts under heterogeneous traffic flow conditions
It is crucial to measure the performance of existing roundabouts in terms of its ability to handle the present traffic scenario. The capacity of an entry flow is found to vary immensely with the changing geometrics of the roundabout. A meticulous study was conducted to gather data from roundabouts with varying geometry and traffic characteristics. A model was developed using empirical analysis based on five such geometric parameters, which proved to be significant for estimating the capacity. The parameters used in this equation had a multiplicative relation with the conflicting flow. Every geometric has been tested individually for its influence on capacity, keeping the flow conditions constant. The developed model satisfied the practicality when validated with the site data. A comparative study with some existing empirical models indicated that the capacities of roundabouts are underestimated/overestimated for Indian scenario.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
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Supplemental Notes:
- © 2016 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Patnaik, Ashish K
- Rao, Shweta
- Krishna, Yadu
- Bhuyan, P K
- Publication Date: 2017-5
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 152-165
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Serial:
- Transportation Letters: The International Journal of Transportation Research
- Volume: 9
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 1942-7867
- EISSN: 1942-7875
- Serial URL: http://www.tandfonline.com/toc/ytrl20/current
Subject/Index Terms
- TRT Terms: Geometric design; Highway capacity; Roundabouts; Traffic flow; Traffic models
- Uncontrolled Terms: Heterogeneous traffic
- Geographic Terms: India
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01667007
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 25 2018 9:22AM