Paper Title

Three Phase Signal Design by Webster Method and Survey for Public Transport Development in Small City: A Case Study on District Alirajpur

Authors

Amit Rawat , Kirti Gupta

Keywords

Signal design, Intersection, Traffic count, Webster method, Public transport, and Public Survey.

Abstract

The growth of traffic volume at the intersection has been on the rise which has resulted in many problems like congestion, road accident and conflicts. The traffic signal is used to regulate diverse streams of pedestrians and vehicular traffic in most of the intersections. Three-phase signal design is proposed for Dahod Naka District Alirajpur by the Webster method. The layout of the location is seen and manually data is collected like road length, traffic count, determination of peak hour, number of phases, normal flow, saturation flow, etc. According to the traffic signal, signal time is most important and how much full red time is to be introduced for pedestrian crossing. According to IRC guidelines, traffic signal is designed. With the increasing population in a small city, the demand for affordable and easily accessible public transport is increasing. A Public survey is done to get an idea of the public’s needs and suggest a suitable route for public transport.

How To Cite

"Three Phase Signal Design by Webster Method and Survey for Public Transport Development in Small City: A Case Study on District Alirajpur", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.98 - 102, June-2022, Available :https://ijsdr.org/papers/IJSDR2206015.pdf

Issue

Volume 7 Issue 6, June-2022

Pages : 98 - 102

Other Publication Details

Paper Reg. ID: IJSDR_200503

Published Paper Id: IJSDR2206015

Downloads: 000347046

Research Area: Civil Engineering 

Country: Alirajpur, Madhya Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2206015

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2206015

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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