Driver associate

Author

Chin, Hubert H. ; Jafari, Ayat A.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., New York Inst. of Technol., Old Westbury, NY, USA

fYear

2004

fDate

2004

Firstpage

401

Lastpage

407

Abstract

This paper addresses an important issue in the implementation of knowledge-based techniques in the intelligent vehicle community. Driver associate is a real time driver aiding system formulated in a multi-agent coalition platform. Agents are defined as C++ classes organized in a hierarchical data structure. Inference engines located in the main file are triggered by passing parameters. The multi-agent environment requires a coalition manager, also implemented as a class object, that can coordinate agents to form optimal solutions. The challenge here is to design a driver associate that can improve the safety of the future intelligent vehicle. The design methodology is proposed in this paper.

Keywords

C++ language; automatic guided vehicles; data structures; driver information systems; inference mechanisms; multi-agent systems; C++ classes; coalition manager; design methodology; driver associate; hierarchical data structure; inference engines; intelligent vehicle community; knowledge-based techniques; multi-agent coalition platform; real time driver aiding system; Automobiles; Communication system control; Driver circuits; Engines; Intelligent vehicles; Knowledge based systems; Microprocessors; Roads; Telematics; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on

ISSN

0094-2898

Print_ISBN

0-7803-8281-1

Type

conf

DOI

10.1109/SSST.2004.1295688

Filename

1295688