지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.9 No.1
- 발행연도
- 2020.2
- 수록면
- 41 - 48 (8page)
- DOI
- 10.5573/IEIESPC.2020.9.1.041
이용수
초록· 키워드
오류제보하기
The problems in cities vary depending on many demographic conditions. In particular, Japan suffers from a decline in population, and that necessitates the redesign of people"s means of transportation in the cities. Simulation is desirable not only to identify the present status of people"s selection of their means of transportation, but is needed to predict how people change their selection of transportation if some infrastructure or new method is added. In this study, we use environment-dependent elements as parameters of the residents, and we investigate the changes in transportation methods depending on the weather. This simulation study shows that a change in the weather results in a change in the usage of transportation.
목차
Abstract
1. Introduction
2. Related Work
3. Multi-agent Simulation Model
4. Results of the Simulation
5. Conclusion
References
참고문헌 (11)
참고문헌 신청
M. Jenks / 1996 / The Compact City: A Sustainable Urban Form? / Spon Press
F. Michael / 2009 / Multi-Agent Systems: Simulation and Applications
T. Oyama / 2018 / Multi-Agent Simulation Using Scenarios for Bridges Assessment / Proc. of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS)
Abdallah Namoun / 2013 / A Multi-Agent System for Modelling Urban TransportInfrastructure Using Intelligent Traffic Forecasts / Proc. of HoloMAS
J. L. Toole / 2015 / The path most traveled: travel demand estimation using big data resources / Transp. Res. Part C 58:162~177
F. Michael / 2009 / Multi-Agent Systems: Simulation and Applications
T. Oyama / 2018 / Multi-Agent Simulation Using Scenarios for Bridges Assessment / Proc. of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS)
Abdallah Namoun / 2013 / A Multi-Agent System for Modelling Urban TransportInfrastructure Using Intelligent Traffic Forecasts / Proc. of HoloMAS
J. L. Toole / 2015 / The path most traveled: travel demand estimation using big data resources / Transp. Res. Part C 58:162~177
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