Paper Title

Analysis and Behavioral Study of Traffic using VISSIM

Authors

Abhishek Jindal , Mr. Pradeep

Keywords

Toll Plaza, Electronic tolling, multiple-queue queuing systems, traffic condition, traffic simulation, VISSIM

Abstract

Toll Plaza operation is a critical component of roadway operations throughout the country, as tools provide both revenue for expansions and opportunities for demand management. Electronic tolling has introduced a new form of driver decision making at toll plaza due to the additional payment. Describe the user convince marking at toll plaza due to the additional payment. Despite the user convince these facilities gives to consumers, this form of collection has not come without safety and operational concerns. Recommendation for future research include to examine traffic flow and safety impact at toll plaza under varying traffic condition and demand with open road tolling lanes strategies. Developing enhancements to vision to address parameters limitation associated with discrete choice modeling at toll plaza. Estimation of queueing time and queue length at toll plazas and parking exit plazas using a multi-server queuing analysis allows you to determine average time and queue length. This model approximates the performance of multiple-queue queuing systems. To better understand how a system would work, a traffic simulation model was used to simulate several parking lot exit plaza designs that accounted for numerous channel arrivals. We've identified the natural behaviors of traffic, and we simplify these behaviors by applying a few plausible assumptions to traffic flows in toll plazas. After we've settled on these assumptions, we have divided the trip process at toll plazas into two stages: collection of tolls and margins. The notion of queuing is applied to each step of the process, which is modeled as a queuing system or VISSIM. Having discovered an ideal toll plaza, we work up a formula to find the average time lost per motorist due to the traffic flow, the number of toll booths, and the number of incoming lanes.

How To Cite

"Analysis and Behavioral Study of Traffic using VISSIM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 6, page no.157 - 163, June-2021, Available :https://ijsdr.org/papers/IJSDR2106023.pdf

Issue

Volume 6 Issue 6, June-2021

Pages : 157 - 163

Other Publication Details

Paper Reg. ID: IJSDR_193415

Published Paper Id: IJSDR2106023

Downloads: 000347047

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2106023

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2106023

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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