Classification and Unification of the Microscopic Deterministic Traffic Models with Identical Drivers

Autor:	Yang, Bo, Monterola, Christopher
Rok vydání:	2015
Předmět:	Nonlinear Sciences - Adaptation and Self-Organizing Systems Condensed Matter - Soft Condensed Matter
Zdroj:	Phys. Rev. E 92, 042802 (2015)
Druh dokumentu:	Working Paper
DOI:	10.1103/PhysRevE.92.042802
Popis:	We show that all existing deterministic microscopic traffic models with identical drivers (including both two-phase and three-phase models) can be understood as special cases from a master model by expansion around well-defined ground states. This allows two traffic models to be compared in a well-defined way. The three-phase models are characterized by the vanishing of leading orders of expansion within a certain density range, and as an example the popular intelligent driver models (IDM) is shown to be equivalent to a generalized optimal velocity (OV) model. We also explore the diverse solutions of the generalized OV model that can be important both for understanding human driving behaviors and algorithms for autonomous driverless vehicles. Comment: 4+ pages, 4 figs, minor changes updated for the accepted version
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1504.02186 Zobrazit plný text záznamu View this record from Arxiv