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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: TRAFFIC VOLUME ANALYSIS USING RAFF’S METHOD FOR HUDA CITY CENTRE JUNCTION GURUGRAM
Authors Name: Akanksha Gupta , Ajit Singh
Unique Id: IJSDR2007143
Published In: Volume 5 Issue 7, July-2020
Abstract: At present, traffic at most of the Major at grade intersection / junctions are controlled by traffic police with the help of signalled traffic lights. In the last few years, Gurgaon has witnessed sudden boom of population. With the growth of MNC and IT companies in large numbers, the city has experienced an unprecedented growth in population as well as traffic. The study has making focused on traffic plying through HUDA City Centre. According to world resource Institute estimate, around 1.5 lac people use the Metro from HUDA City Centre Metro station each day, of which 30% users reach the station by car, 30% by Auto Rickshaws, and 30% by Buses. A well designed roundabout achieves a balance of safety and efficiency. Traffic rotaries reduce the complexity of crossing traffic by forcing them into weaving operations. The shape and size of the rotary are determined by the traffic volume and share of turning movements. Capacity assessment of a rotary is done by analyzing the section having the greatest proportion of weaving traffic. In the past years various models have been developed for analyzing the traffic flow on this intersection. These methods are classified in two groups. The first group consists of methods which are purely empirical and based on geometry of intersection. The second group consists of methods which are based on Gap acceptance process.
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Cite Article: "TRAFFIC VOLUME ANALYSIS USING RAFF’S METHOD FOR HUDA CITY CENTRE JUNCTION GURUGRAM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.992 - 997, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007143.pdf
Downloads: 000336258
Publication Details: Published Paper ID: IJSDR2007143
Registration ID:192294
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 992 - 997
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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