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Title:

Vehicle Count Adjustment for Real Demand Estimates in Congested Road Networks with Signalized Intersections

Accession Number:

01660317

Record Type:

Component

Abstract:

Traffic studies typically use vehicle counts as their main input data on vehicle flows observed and measured in the field. However, when counts are taken at signalized intersections they in fact represent capacity rather than demand, so simulation models constructed using such data will not generate a realistic replication of intersection vehicle flows. This paper proposes a new methodology to better estimate demand by adjusting the observed count data, thus achieving more realistic travel time replications. Application of the methodology to real cases in Santiago demonstrates its ability to significantly improve the realism of model replications and evaluate road projects such as traffic signal configurations

Supplemental Notes:

This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.

Report/Paper Numbers:

18-04918

Language:

English

Authors:

Moya, Jaime
Dragicevic, Marina
Navarro, Matías
Herrera, Juan C
Herrera, Juan Carlos

Pagination:

15p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04918

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:13AM