Multi-agent Simulation Using Scenarios for Bridges Assessment

被引:0
作者
Oyama, Takeshi [1 ]
Sakakibara, Kazutoshi [2 ]
Tachibana, Junzo [2 ]
Matsumoto, Takuya [3 ]
Ohara, Makoto [4 ]
Tamaki, Hisashi [5 ]
机构
[1] Toyama Prefectural Univ, Grad Sch Engn, Imizu, Toyama, Japan
[2] Toyama Prefectural Univ, Fac Engn, Imizu, Toyama, Japan
[3] Sohatsu Syst Lab Inc, Kobe, Hyogo, Japan
[4] Kobe Univ, Off Acad & Ind Innovat, Kobe, Hyogo, Japan
[5] Kobe Univ, Grad Sch Syst Informat, Kobe, Hyogo, Japan
来源
2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) | 2018年
关键词
multi-agent simulation; urban traffic simulation; optimization;
D O I
10.1109/SCIS-ISIS.2018.00206
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A multi-agent simulation model of urban traffic behavior using Origin Destination (OD) data and its application to validation of usability of social infrastructure in urban districts are proposed. In this model, inhabitant's behaviors of travel are expressed by a series of transportation methods and their routes which are optimized based on utility functions of the agents. This simulation technique is applied to evaluate the usability of bridges.
引用
收藏
页码:1315 / 1319
页数:5
相关论文
共 50 条
[21]   Modeling dynamic environments in multi-agent simulation [J].
Helleboogh, Alexander ;
Vizzari, Giuseppe ;
Uhrmacher, Adelinde ;
Michel, Fabien .
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2007, 14 (01) :87-116
[22]   Pollution Modeling and Simulation with Multi-Agent and Pretopology [J].
Ahat, Murat ;
Ben Amor, Sofiane ;
Bui, Marc ;
Lamure, Michel ;
Courel, Marie-Francoise .
COMPLEX SCIENCES, PT 1, 2009, 4 :225-+
[23]   Multi-agent Simulation for Strategic Bidding in Electricity Markets Using Reinforcement Learning [J].
Wang, Jidong ;
Wu, Jiahui ;
Kong, Xiangyu .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (03) :1051-1065
[24]   Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation [J].
Revilloud, M. ;
Loubier, J. -C. ;
Doctor, M. ;
Kanevski, M. ;
Timonin, V. ;
Schumacher, M. .
ADVANCES ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS, 2011, 88 :201-+
[25]   Outstanding in the Field: Evaluating Auction Markets for Farmland Using Multi-Agent Simulation [J].
Arsenault, Adam ;
Nolan, James ;
Schoney, Richard ;
Gilchrist, Donald .
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2012, 15 (01)
[26]   Power systems simulation using ontologies to enable the interoperability of multi-agent systems [J].
Santos, Gabriel ;
Silva, Francisco ;
Teixeira, Brigida ;
Vale, Zita ;
Pinto, Tiago .
2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2018,
[27]   Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario [J].
Yeo, Sangho ;
Lee, Seungjun ;
Choi, Boreum ;
Oh, Sangyoon .
11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, :523-525
[28]   Multi-agent simulation of the Moroccan Takaful insurance sector [J].
Lamsaddak, Karima ;
Mentagui, Dris .
2020 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS), 2020,
[29]   A multi-agent simulation framework on small Hadoop cluster [J].
Sethia, Prashant ;
Karlapalem, Kamalakar .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2011, 24 (07) :1120-1127
[30]   Extensible Software Design of a Multi-Agent Transport Simulation [J].
Grether, D. ;
Nagel, K. .
4TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2013), THE 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2013), 2013, 19 :380-388