A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling

Muhammad Ridwan Andi Purnomo, Dzuraidah Abd. Wahab, Azmi Hassan, Riza Atiq Abdullah O.K. Rahmat

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents the application of Parallel Genetic Algorithm (PGA)-based Takagi Sugeno Kang (TSK)-Fuzzy approach for dynamic car-following modeling in the traffic simulation software. It differs from the usual car-following model significantly as the proposed model provides a more dynamic car movement and realistic headway by considering the driver progressive level factor. These two advantages could make further traffic analysis become more accurate. The proposed model is used for the tire-road slippage index determination which influences the car's speed. Since the car interact with each other on the road and the driver progressive level is different, three interaction variables, that are current car speed, distance to the car ahead and driver progressive level, are defined and an indication of their influence on the tire-road slippage index is analysed. PGA is included in the TSK-Fuzzy system to determine the optimum parameters in the Fuzzy sets and Fuzzy rules so as to improve the accuracy of the tire-road slippage index estimation. A set of data in a size of 38 × 4 and 22 × 4 were used for training and testing the performance of the model. The study shows that TSK-Fuzzy system combined with PGA is effective and accurate in estimating the tire-road slippage index.

Original languageEnglish
Pages (from-to)628-642
Number of pages15
JournalEuropean Journal of Scientific Research
Volume28
Issue number4
Publication statusPublished - 2009

Fingerprint

Parallel Genetic Algorithm
Takagi-Sugeno Fuzzy Systems
Tire
Fuzzy systems
Parallel algorithms
genetic algorithm
tires
roads
automobile
Railroad cars
Genetic algorithms
Driver
tire
Tires
Modeling
road
modeling
traffic
Car-following Model
Traffic Analysis

Keywords

  • Car-following model
  • PGA
  • Tire-road slippage index
  • TSK-Fuzzy system

ASJC Scopus subject areas

  • General

Cite this

A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling. / Purnomo, Muhammad Ridwan Andi; Abd. Wahab, Dzuraidah; Hassan, Azmi; O.K. Rahmat, Riza Atiq Abdullah.

In: European Journal of Scientific Research, Vol. 28, No. 4, 2009, p. 628-642.

Research output: Contribution to journalArticle

Purnomo, Muhammad Ridwan Andi ; Abd. Wahab, Dzuraidah ; Hassan, Azmi ; O.K. Rahmat, Riza Atiq Abdullah. / A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling. In: European Journal of Scientific Research. 2009 ; Vol. 28, No. 4. pp. 628-642.
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