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Complex Dynamic States in Multi-phase Traffic Model
Author(s) -
Ryoichi Nagai
Publication year - 2006
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.2204519
Subject(s) - jamming , sensitivity (control systems) , stability (learning theory) , inverse , phase (matter) , function (biology) , phase transition , computer science , statistical physics , control theory (sociology) , physics , mathematics , condensed matter physics , quantum mechanics , artificial intelligence , geometry , machine learning , electronic engineering , evolutionary biology , engineering , biology , control (management)
A multi-phase traffic model is presented to take into account the complex motion of vehicles. The jamming transition of traffic flow is very similar to the conventional phase transitions and critical phenomena(1). In the fundamental model, there are two traffic phases and their coexisting phase : free flow, homogeneous congested flow, and inhomogeneous jammed flow. They correspond, respectively, to gas, liquid, and coexisting phase in the gas-liquid phase transition. However, real traffic exhibits a very rich variety of phenomena. The fundamental model result is in a conflict with empirical evidence(2). The multi-phase model is an extended one of the optimal velocity model. The optimal velocity (OV) function is modified to have multi phases. Fig.1 shows the optimal velocity functions with a single stage and two stages. The original OV model with a single stage exhibits two phase traffic, while the model with n stages displays n+1 phase traffic. The phase transitions depend highly on the sensitivity (the inverse of delay time). The neutral stability line is obtained by using the linear stability analysis and is consistent with the jamming transition points. The phase diagrams are presented for the multiple jamming transitions. Fig.2 shows the phase diagram for the OV model with two stages. Phase diagram in the phase space for three-phase model is presented. The circles and squares indicate the phase separation lines. The dotted line indicates the spinodal line. Phases 1, 2, and 3 appear, respectively, in regions V, III, I. The coexisting phase of phases 1 and 2 occurs in region IV. The coexisting phase of phases 2 and 3 occurs in region II. The multiple phase transitions occur by varying the density (the inverse of headway). Fig.3 shows the plots of current against density for a = 1.0. The current (flow) is obtained by averaging the number of vehicles passing a point over sufficiently large time. The current (flow) is obtained by averaging the number of vehicles passing a point over sufficiently large time. The traffic is classified into five states: (I) free traffic (phase 3), (II) coexisting phase between phases 3 and 2, (III) homogeneous traffic (phase 2) at intermediate density, (IV) coexisting phase between phases 2 and 1, and (V) homogeneous congested traffic (phase 1) at high density. The distinct traffic states I-V are shown in Fig. 2. In regions II and IV, the density wave appears and propagates backward. The simulation result deviates from the theoretical current-density curve in regions II and IV because the jams occur. Fig. 1 OV functions for single stage and two stage model.

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