Author :
Chin, Hubert H. ; Jafari, Ayat A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., New York Inst. of Technol., Old Westbury, NY, USA
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;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295688
