학술논문
A Novel Agent Based Method for Intelligent Public Transportation System
Document Type
Conference
Source
Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics. :85-93
Subject
Language
English
Abstract
An Intelligent Public Transportation System requires continuous exchanges of information in order to provide reliable services to passengers. This article explores various models of information exchange for a multi-agent system. The main issue is the size and shape of each area controlled by each specific coordinator agent, because it affects the efficiency and effectiveness of exchanging the information between agents. For experimentation, three models namely circular, square and hexagonal grid models are compared, and we found out that the best model for information exchange is a hexagonal grid model, i.e., when the geographical boundaries are defined by hexagons.