NDLI: Predictive control of a hysteretic model - with applications to intelligent transportation system

Content Provider	IEEE Xplore Digital Library
Author	Jyh-Ching Juang Yi-Hsien Chiang
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Jyh-Ching Juang; Yi-Hsien Chiang)
Abstract	Traffic flow models are used to characterize traffic behavior or to describe fundamental diagram (flow-density relationship) of traffic conditions. From the viewpoint of static traffic characteristic, these models mainly provide information of traffic states (free flow or congestion) and trend of traffic variation in a highway section or intersection. However, dynamic properties observed in short time interval reveal that hysteresis phenomenon are likely to occur during traffic state-transitions. The hysteresis phenomenon is visible in the transition paths both in the flow-density and velocity-density diagrams. The hysteresis is either due to drivers' asymmetrical desired control speed in anticipation and relaxation modes or on traffic conditions of demand and supply in upstream and downstream. The hysteresis transition shows how the traffic quality evolves during minutes to hours. It is thus expected that a better traffic flow modeling and control can be achieved if hysteresis transition can be correctly modeled and used in traffic prediction. The paper develops a generalized mathematical hysteresis model based on Duhem operator. The proposed hysteresis model can describe hysteresis phenomenon in each state to state transition. An identification process is also applied to make our model more flexible in different traffic conditions. Besides modeling, issue related to flow stage transitions and congested trend can be predicted or estimated, and, accordingly, some traffic control strategies can also be devised. Simulation results are provided to illustrate transitions between free flow states and congested states. The simulation results also show that our model can represent the hysteresis phenomenon in different state transitions. The research is expected to shed light on intelligent transportation systems.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	78
Ending Page	83
File Size	316156
Page Count	6
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1243795
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent transportation systems Predictive control Hysteresis Predictive models Traffic control Vehicle dynamics Road transportation Mathematical model State estimation Resource management
Content Type	Text
Resource Type	Article

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