Microscopic driving theory with oscillatory congested states: Model and empirical verification. (January 2015)

• Record Type: Journal Article
• Authors: Tian, Junfang; Treiber, Martin; Ma, Shoufeng; Jia, Bin; Zhang, Wenyi
• Is Part Of: Transportation research. Volume 71(2015)
• Page Start: 138
• Page End: 157
• Publication Date: 2015-01
• Subjects: Cellular automaton -- Kerner's three-phase traffic flow -- Fundamental Diagram Approach -- Safe time gap; Transportation -- Research -- Periodicals; Transportation -- Mathematical models -- Periodicals
• DOI: 10.1016/j.trb.2014.11.003
• Languages: English
• ISSNs: 0191-2615

Abstract

Highlights: Empirical data is consistent with a unique linear desired gap vs. speed relationship. We propose a cellular automaton with actual gaps oscillating around the desired gap. Simulations reproduce the empirical findings of Kerner's three-phase theory. Empirical verification results are better than that of previous models. Abstract: The essential distinction between the Fundamental Diagram Approach (FDA) and Kerner's three-phase theory (KTPT) is the existence of a unique gap–speed (or flow–density) relationship in the former class. In order to verify this relationship, empirical data are analyzed with the following findings: (1) linear relationship between the actual space gap and speed can be identified when the speed difference between vehicles approximates zero; (2) vehicles accelerate or decelerate around the desired space gap most of the time. To explain these phenomena, we propose that, in congested traffic flow, the space gap between two vehicles will oscillate around the desired space gap in the deterministic limit. This assumption is formulated in terms of a cellular automaton. In contrast to FDA and KTPT, the new model does not have any congested steady-state solution. Simulations under periodic and open boundary conditions reproduce the empirical findings of KTPT. Calibrating and validating the model to detector data produces results that are better than that of previous studies.