Home
Author Guide
Editor Guide
Reviewer Guide
Published Issues
Special Issue
Introduction
Special Issues List
Sections and Topics
Sections
Topics
Internet of Things (IoT) in Smart Systems and Applications
Human-Computer Interaction (HCI) in Modern Technological Systems
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access
Copyright and Licensing
Preservation and Repository Policy
Publication Ethics
Editorial Process
Contact Us
General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
DOAJ
,
CNKI
, EBSCO,
etc
.
APC:
1000 USD
Acceptance Rate:
27%
Average Days to Accept:
99 days
Managing Editor:
Ms. Mia Hu
E-mail:
editor@jait.us
Journal Metrics:
Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2026-08-26
JAIT Vol. 17, No. 8 has been published online!
2026-06-17
Recent News! JAIT 2025 JIF: 1.3; Q4 in category of Computer Science: Information Systems and Interdisciplinary Applications
2026-06-04
The 2025 CiteScores have been released by Scopus. JAIT received the CiteScore 2025 with 5.2!
Home
>
Published Issues
>
2018
>
Volume 9, No. 1, February 2018
>
A General Pattern of Town Streets on Map Spaces
Takahiro Suzuki and Isamu Shioya
Faculty of Science and Engineering, Hosei University, Kajino-cho 3-7-2, Koganei-shi, Tokyo 184-8584 Japan
Abstract
—This paper presents a town street model which is a natural model to describe general borders of residential sections/blocks in town streets, and discusses the features of the model. This paper takes the typical residential blocks in Tokyo, presents the features of the blocks, and reproduces future general block borders which are taking into the updates in temporal borders based on Schelling model. We employ two features in this paper: one is the lengths of borders in sections/blocks, and the other is the angles between two borders in sections/blocks, where the boarders are represented by the piecewise linear. Then, we show that we can find the human features in the general town street patterns based on a boundary effect and a fluctuation.
Index Terms
—autonomous moving multi-agents, Schelling model, and segregation
Cite: Takahiro Suzuki and Isamu Shioya, "A General Pattern of Town Streets on Map Spaces," Vol. 9, No. 1, pp. 10-14, February 2018. doi: 10.12720/jait.9.1.10-14
2-AC023
PREVIOUS PAPER
Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic
NEXT PAPER
Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies
Article Metrics in Dimensions