See discussions, st ats, and author pr ofiles f or this public ation at : https://www .researchgate.ne t/public ation/46439292 Fuzzy Logic T raction Controllers And Their Effect On Longitudinal Vehicle Platoon Systems Article    in  Vehicle Syst em Dynamics · Januar y 1995 DOI: 10.1080/00423119608968968  · Sour ce: R ePEc CITATIONS 58READS 1,974 2 author s, including: Some o f the author s of this public ation ar e also w orking on these r elat ed pr ojects: Unc ertainty Estimation in Deep Object De tector for A utonomous Driving View pr oject Real time optimiz ation f or motion planning View pr oject Masay oshi T omiz uka Univ ersity of Calif ornia, Berk eley 1,034 PUBLICA TIONS    30,492 CITATIONS     SEE PROFILE All c ontent f ollo wing this p age was uplo aded b y Masay oshi T omiz uka on 02 June 2014. The user has r equest ed enhanc ement of the do wnlo aded file.eScholarship provides open access, scholarly publishing services to the University of California and delivers a dynamic research platform to scholars worldwide. California Partners for Advanced Transit and Highways (PATH) UC Berkeley Title: Fuzzy Logic Traction Controllers And Their Effect On Longitudinal Vehicle Platoon Systems Author: Bauer, M. Tomizuka, M. Publication Date: 01-01-1995 Series: Research Reports Publication Info: Research Reports, California Partners for Advanced Transit and Highways (PATH), Institute of Transportation Studies, UC Berkeley Permalink: http://escholarship.org/uc/item/5sq9q3k8 Keywords: Motor vehicles--Automatic control, Express highways--Automation, Intelligent Vehicle Highway Systems, Fuzzy logic Abstract: This paper presents fuzzy logic traction controllers and their effect on longitudinal vehicle platoon systems. A fuzzy logic approach is appealing for traction control because of the non-linearities and time-varying uncertainties in traction control systems. One fuzzy controller estimates the "peak slip" corresponding to the maximum tire-road adhesion coefficient and regulates wheel slip at that value. The other fuzzy logic controller regulates wheel slip at any desired value. The controllers' performance and robustness against changing road conditions and time- varying uncertainty is evaluated by simulation. The effect of traction control on longitudinal vehicle platoon systems is studied by simulation also.ISSN 1055-1425May 1995This work was performed as part of the California PATH Program of the University of California, in cooperation with the State of California Business,Transportation, and Housing Agency, Department of Transportation; and theUnited States Department of Transportation, Federal Highway Administration. The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do notnecessarily reflect the official views or policies of the State of California. Thisreport does not constitute a standard, specification, or regulation. Report for MOU 035CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIESUNIVERSITY OF CALIFORNIA, BERKELEY Fuzzy Logic Traction Controllers andTheir Effect on Longitudinal VehiclePlatoon Systems UCB-ITS-PRR-95-14California PATH Research ReportM. BauerMasayoshi TomizukaFuzzy Logic Traction Controllers and their Effect on Longitudinal Vehicle Platoon Systems M. Bauer and Masayoshi Tomizuka Department of Mechanical Engineering University of California, Berkeley Abstract: The objective of this paper is to present fuzzy logic traction controllers and their effect onlongitudinal vehicle platoon systems. A fuzzy logic approach is appealing for traction controlbecause of the non-linearities and time-varying uncertainties in traction control systems. Twofuzzy logic traction controllers are presented. One fuzzy controller estimates the “peak slip”corresponding to the maximum tire-road adhesion coefficient and regulates wheel slip at thatvalue. The other fuzzy logic controller regulates wheel slip at any