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dc.contributor.authorWang, Q.
dc.contributor.authorXu, S.
dc.contributor.authorXu, Honglei
dc.contributor.editorJian Shen, Jing Wang, Xujie Li
dc.date.accessioned2017-12-10T12:40:09Z
dc.date.available2017-12-10T12:40:09Z
dc.date.created2017-12-10T12:20:21Z
dc.date.issued2015
dc.identifier.citationWang, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/59397
dc.identifier.doi10.1109/WCSN.2014.87
dc.description.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.

dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.titleA fuzzy control based self-optimizing PID model for autonomous car following on highway
dc.typeConference Paper
dcterms.source.startPage395
dcterms.source.endPage399
dcterms.source.titleProceedings - 2014 International Conference on Wireless Communication and Sensor Network, WCSN 2014
dcterms.source.seriesProceedings - 2014 International Conference on Wireless Communication and Sensor Network, WCSN 2014
dcterms.source.isbn9781479970919
dcterms.source.conference2014 International Conference on Wireless Communication and Sensor Network, WCSN 2014
dcterms.source.conference-start-dateDec 13 2014
dcterms.source.conferencelocationWuhan, China
dcterms.source.placeUSA
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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.

curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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