Driver Model by Fuzzy Logic for Merging

This paper proposes a driver model for merging, based on the analysis of actual merging behaviors of human driver on an entrance of highway. The rule-based behaviors of drivers are modeled with fuzzy logic. The merging model consists of the models of on-ramp vehicles and on-lane vehicles. The contro...

Full description

Saved in:
Bibliographic Details
Published inTransactions of the Japan Society of Mechanical Engineers Series C Vol. 64; no. 628; pp. 4745 - 4750
Main Authors CHENG, Bo, FUJIOKA, Takehiko
Format Journal Article
LanguageJapanese
Published The Japan Society of Mechanical Engineers 25.12.1998
Subjects
Automobile
Driver Model
Fuzzy Set Theory
Human Engineering
Knowledge Engineering
Merging
Simulation
Transportation Engineering
Online AccessGet full text

Cover

More Information
Summary:This paper proposes a driver model for merging, based on the analysis of actual merging behaviors of human driver on an entrance of highway. The rule-based behaviors of drivers are modeled with fuzzy logic. The merging model consists of the models of on-ramp vehicles and on-lane vehicles. The control strategies of two models are designed independently, and merging is accomplished in cooperation with each other. The control strategy of on-ramp vehicles determines merging timing, and that of on-lane vehicles selects a suitable maneuver not to interfere the merging action of on ramp vehicles. The propriety of the proposed model is verified by a series of simulations.
ISSN:0387-5024
1884-8354
DOI:10.1299/kikaic.64.4745