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Title:

Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis
Cover of Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis

Accession Number:

01477609

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

In order to support a roadway surveillance system for drivers' aggressions under different road conditions, the research demonstrated in this paper focuses on developing a heuristic methodology on calibrating traffic flow models in real-time. Objectives for this development are high accuracy, high efficiency and high robustness. Techniques like data aggregation and bisection analysis are applied in our approach to ensure achieving these goals and further requirements. Two traffic flow simulation models, Longitudinal Control Model (LCM) and Newell's Model are calibrated by applying our approach using traffic data collected at Georgia 400 highway in July, 2003. Running time for calibrating these two models are less than a second, respectively, and eight different field data samples are opted for experiments to prove this method's accuracy and robustness.

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3932

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Jia, Chaoqun
Ni, Daiheng

Pagination:

18p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Candidate Terms:

Subject Areas:

Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3932

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:46PM