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Title:

Modeling and Analysis of Car-Truck Heterogeneous Traffic Flow Based on Intelligent Driver Car-Following Model

Accession Number:

01476989

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The traffic flow heterogeneity caused by the different car-following dynamics among the different types of vehicles has drawn increasing attention recently. This paper explores the characteristics of the four types of car-truck car-following combinations, car-following-car (CC), car-following-truck (CT), truck-following-car (TC) and truck-following-truck (TT), and their impact on traffic flow stability. A heterogeneous traffic flow model based on the Intelligent Driver car-following model (IDM) is proposed and calibrated using the Next Generation Simulation (NGSIM) vehicle trajectory data. Based on the calibrated model, the characteristics of the car-truck heterogeneous traffic flow are evaluated using the linear stability analysis, fundamental diagrams, and shock wave characteristics. The linear stability analysis identifies two critical factors that can influence the stability of the car-truck heterogeneous traffic flow: the stability functions and the proportions of the four types of car-truck combination. Cars and trucks can both stabilize and destabilize the traffic flow depending on the combination type and the equilibrium velocity. Fundamental diagrams of car-truck heterogeneous flow are found to be determined by the distance headways and proportions of the four types of combination. Moreover, the fundamental diagrams of different car-truck combinations converge to several clusters with the same proportion difference between the CC and TT combinations. The slowing-down effect of trucks on shock wave speed in the car-truck heterogeneous traffic flow is also observed in the simulation.

Supplemental Notes:

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

Monograph Accession #:

01470560

Report/Paper Numbers:

13-2358

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yang, Da
Jin, Jing
Ran, Bin
Pu, Yun
Yang, Fei

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

Uncontrolled Terms:

Fundamental diagram

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-2358

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:31PM