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Title:

A Novel Methodology to Derive Vehicle Occupancy Using Wi-Fi Sensors Under Heterogenous Traffic Conditions

Accession Number:

01710387

Record Type:

Component

Abstract:

In this study, a methodology was developed for deriving vehicle occupancy using Wi-Fi based sensors under mixed traffic conditions. The methodology was field tested on an urban arterial road and an expressway. Vehicle occupancy derived from the methodology was observed to vary with respect to traffic volume. Higher values of occupancy were obtained for higher flow and vice-versa. Further, larger variation in occupancy values was noted at higher traffic volume levels as compared to lower traffic volume levels, highlighting the proficiency of the developed methodology to derive vehicle occupancy. The derived occupancy values were then validated through questionnaires and were observed to be in close match with each other, further corroborating the robustness of the developed methodology.

Report/Paper Numbers:

19-03838

Language:

English

Authors:

Gore, Ninad
Arkatkar, Shriniwas S
Joshi, Gaurang
Bhaskar, Ashish

Pagination:

6p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-03838

Files:

TRIS, TRB, ATRI

Created Date:

Jun 27 2019 11:15AM

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