Fuzzy adaptive traffic signal control-principles and results

Author

Niittymäki, Jarkko ; Nevala, Riku

Author_Institution

Helsinki Univ. of Technol., Espoo, Finland

fYear

2001

fDate

25-28 July 2001

Firstpage

2870

Abstract

Traffic engineering handles complex problems that include several objects, some of which are conflicting. Subjective and illogical behavior of traffic users still increase the vagueness of the transportation planning and study. Fuzzy logic and its capability to imitate human decision-making provide systematic approach to the multi-objective problem solving, which makes it competitive method also in traffic signal controlling. This paper discusses the fuzzy traffic signal control in general and presents some results of fuzzy signal control, which indicate good performance compared to traditional vehicle actuated signal control

Keywords

fuzzy control; fuzzy logic; traffic engineering computing; fuzzy logic; fuzzy signal control; fuzzy traffic signal control; human decision-making; multi-objective problem solving; traffic engineering; traffic signal controlling; traffic users; transportation planning; vehicle actuated signal control; Adaptive control; Control systems; Decision making; Fuzzy control; Fuzzy logic; Humans; Problem-solving; Programmable control; Transportation; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943682

Filename

943682