|
Title: Modeling Microscopic Freeway Traffic Using Cusp Catastrophe Theory
Accession Number: 01476816
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: This paper proposes a framework based on stochastic cusp catastrophe theory to model microscopic freeway traffic flow. The approach considers that each driver - regardless of being aggressive or timid - may shift his/her behavior and behave aggressively or timidly during driving. Based on the proposed modeling approach, the spacing a driver choses is a function of its speed and acceleration. Moreover, the driver’s behavior encompasses two equilibrium states -being aggressive or timid - and any shift between these states is considered to occur as a catastrophe phenomenon. Different models are developed with variable sampling interval, while some of them encompass memory properties. Results show that the cusp catastrophe model may accurately describe microscopic traffic, especially when compared to linear or logistic models. Results for models with induced memory are even more promising. Considering the proposed method, preliminary results on the critical regions of breakdown conditions or attitude shifting are described and discussed.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.
Monograph Title: Monograph Accession #: 01470560
Report/Paper Numbers: 13-2755
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Papacharalampous, Alexandros EvangelosVlahogianni, Eleni IPagination: 19p
Publication Date: 2013
Conference:
Transportation Research Board 92nd Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I70: Traffic and Transport
Source Data: Transportation Research Board Annual Meeting 2013 Paper #13-2755
Files: TRIS, TRB, ATRI
Created Date: Feb 5 2013 12:34PM
|