Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A fuzzy control based self-optimizing PID model for autonomous car following on highway

    228397.pdf (210.7Kb)
    Access Status
    Open access
    Authors
    Wang, Q.
    Xu, S.
    Xu, Honglei
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Wang, Q. and Xu, S. and Xu, H. 2015. A Fuzzy Control Based Self-Optimizing PID Model for Autonomous Car Following on Highway, in Proceedings of the 2014 International Conference on Wireless Communication and Sensor Network (WCSN 2014), Dec 13-14 2014, pp. 395-399. Wuhan, China: Institute of Electrical and Electronics Engineers.
    Source Title
    Proceedings - 2014 International Conference on Wireless Communication and Sensor Network, WCSN 2014
    Source Conference
    2014 International Conference on Wireless Communication and Sensor Network, WCSN 2014
    DOI
    10.1109/WCSN.2014.87
    ISBN
    9781479970919
    School
    Department of Mathematics and Statistics
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/59724
    Collection
    • Curtin Research Publications
    Abstract

    Controlling real-time distances between vehicles is extremely significant for keeping safe driving on highway. At the same time, status of traffic stream, whole time delay and errors in controlling also have impacts on the control at a high driving speed. In this paper, a self-optimizing PID model based on fuzzy control is proposed for assisting a car to follow another one at a safe distance. The proposed model is established on a wireless sensor network sharing information for perceiving different status of traffic stream. In the designed experiment, the fuzzy PID controller is able to adapt nonlinear and time-varying features of behaviors in traffic stream. Comparing with general PID controllers, the fuzzy PID controller has a better performance on dynamic behaviors. According to comparison with the effects of controlling in different conditions, simulation results show that the proposed model is able to adjust and control the follower's behaviors in different situations on highway.

    Related items

    Showing items related by title, author, creator and subject.

    • Mobile robot navigation using alpha level fuzzy logic system: Theoretical and experimental investigations
      Parasuraman, S.; Ganapathy, V.; Shirinzadeh, B.; Zhong, Yongmin (2006)
      Numerous behavior rule selection mechanisms have been studied and examples of such mechanisms are discussed. Saffiotti (Saffiotti 2000) suggests dividing action selection mechanisms into two groups that he calls arbitration ...
    • Varying Spread Fuzzy Regression for Affective Quality Estimation
      Chan, Kit Yan; Engelke, U. (2017)
      Design of preferred products requires affective quality information which relates to human emotional satisfaction. However, it is expensive and time consuming to conduct a full survey to investigate affective qualities ...
    • A novel Fuzzy Logic Controller (FLC) for shortening the TCP channel roundtrip time by eliminating user buffer overflow adaptively
      Lin, W.; Wong, A.; Dillon, Tharam S. (2005)
      The proposed Fuzzy Logic Controller (FLC) is a novel approach for dynamic buffer tuning at the user/server level. It eliminates buffer overflow by ensuring that the buffer length always cover the queue length adaptively. ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.