A DEVELOPMENT ENVIRONMENT FOR FUZZY RULE-BASED TRAFFIC CONTROL

被引：0
|
作者：
CHIU, S
CHAND, S
机构：
[1] Control and Information Management Department, Rockwell International Science Center, Thousand Oaks, CA 91360
来源：
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING | 1994年 / 11卷 / 03期
关键词：
D O I：
10.1016/0736-5845(94)90031-0
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a development environment for fuzzy rule-based traffic control systems. This Macintosh(R) environment allows a user to simulate traffic on a network of streets and create fuzzy decision rules for adjusting traffic signal timing parameters at the intersections. During simulation, various graphical displays help the user interactively debug and fine-tune the decision rules. When the results are satisfactory, C or Ada code can be automatically generated to implement the fuzzy knowledge base. We also describe a specific knowledge base developed using this environment and present some results.
引用
收藏
页码：167 / 176
页数：10
相关论文
共 50 条
  • [1] FUZZY RULE-BASED NETWORKS FOR CONTROL
    HIGGINS, CM
    GOODMAN, RM
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1994, 2 (01) : 82 - 88
  • [2] FUZZY MODELING AND FUZZY RULE-BASED CONTROL OF FMS
    CAPKOVIC, F
    IFIP TRANSACTIONS B-APPLICATIONS IN TECHNOLOGY, 1992, 1 : 281 - 286
  • [3] An application development environment for rule-based I/O control devices
    Sagara, R
    Kishino, Y
    Terada, T
    Yoshihisa, T
    Tsukamoto, M
    Nishio, S
    EMBEDDED AND UBIQUITOUS COMPUTING - EUC 2005 WORKSHOPS, PROCEEDINGS, 2005, 3823 : 121 - 130
  • [4] A Combined Approach of Fuzzy Cognitive Maps and Fuzzy Rule-Based Inference Supporting Freeway Traffic Control Strategies
    Amini, Mehran
    Hatwagner, Miklos F.
    Koczy, Laszlo T.
    MATHEMATICS, 2022, 10 (21)
  • [5] A rule-based scalar tuning fuzzy control system
    Feng, HM
    Kao, WH
    COMPUTING AND INFORMATICS, 2001, 20 (04) : 395 - 409
  • [6] Fuzzy rule-based models with randomized development mechanisms
    Hu, Xingchen
    Pedrycz, Witold
    Wang, Dianhui
    FUZZY SETS AND SYSTEMS, 2019, 361 : 71 - 87
  • [7] Fuzzy Rule-Based System Approach to Combining Traffic Count Forecasts
    Stathopoulos, Antony
    Karlaftis, Matthew G.
    Dimitriou, Loukas
    TRANSPORTATION RESEARCH RECORD, 2010, (2183) : 120 - 128
  • [8] Nonlinear fuzzy rule-based approach for estimating video traffic rate
    Grant, PM
    Saw, YS
    Hannah, JM
    ELECTRONICS LETTERS, 1998, 34 (15) : 1461 - 1462
  • [9] A Rule-Based Approach for Air Traffic Control in the Vicinity of the Airport
    Mitsikas, Theodoros
    Stefaneas, Petros
    Ouranos, Iakovos
    ALGEBRAIC MODELING OF TOPOLOGICAL AND COMPUTATIONAL STRUCTURES AND APPLICATIONS, 2017, 219 : 423 - 438
  • [10] Adaptive fuzzy rule-based processes scheduling in distributed computing environment
    Sirichuenwichit, J
    Thumthawatworn, T
    Santiprabhob, P
    2004 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-6, 2004, : 2249 - 2262
12345