Real-time Machine Learning Prediction of an Agent-Based Model for Urban Decision-making

被引：0

作者：

Zhang, Yan ^{[1
]}

Grignard, Arnaud ^{[1
]}

Lyons, Kevin ^{[1
]}

Aubuchon, Alexander ^{[2
]}

Larson, Kent ^{[1
]}

机构：

[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] Northeastern Univ, Boston, MA 02115 USA

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18) | 2018年

关键词：

machine learning; urban decision-making; agent-based modeling; real-time feedback;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

CityMatrix is an urban decision support system that has been developed to facilitate more collaborative and evidence-based urban decision-making for experts and non-experts. Machine learning techniques have been applied to achieve real-time prediction of an agent-based model (ABM) of city traffic. The prediction with a shallow convolutional neural network (CNN) is significantly faster than performing the original ABM, and has enough accuracy for decision-making. The result is a versatile, quick, accurate, and computationally efficient approach to provide real-time feedback and optimization for urban decision-making.

引用

页码：2171 / 2173

页数：3

共 50 条

[31] Workforce Diversity in Decision-Making Organizations: A Perspective from Agent-Based Computational Economics
Wall, Friederike
NEW MATHEMATICS AND NATURAL COMPUTATION, 2022, 18 (02) : 339 - 363
[32] Personalized real-time traffic information provision: Agent-based optimization model and solution framework
Ma, Jiaqi
Smith, Brian L.
Zhou, Xuesong
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 64 : 164 - 182
[33] Real-time spectrum secondary markets: Agent-based model of investment activities of heterogeneous operators
Zausinova, Jana
Gazda, Juraj
Maksymyuk, Taras
2018 28TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA), 2018,
[34] Real-Time Lithology Prediction at the Bit Using Machine Learning
Burak, Tunc
Sharma, Ashutosh
Hoel, Espen
Kristiansen, Tron Golder
Welmer, Morten
Nygaard, Runar
GEOSCIENCES, 2024, 14 (10)
[35] Towards real-time predictions using emulators of agent-based models
Kieu, Minh
Nguyen, Hoang
Ward, Jonathan A.
Malleson, Nick
JOURNAL OF SIMULATION, 2024, 18 (01) : 29 - 46
[36] Agent-based Modeling of Consumer Purchase Decision-making Process considering Quality of Web
Zhang, Nan
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT, LAW AND EDUCATION (EMLE 2016), 2016, 20 : 77 - 79
[37] Improving Behavior Prediction Accuracy by Using Machine Learning for Agent-Based Simulation
Hayashi, Shinji
Prasasti, Niken
Kanamori, Katsutoshi
Ohwada, Hayato
Intelligent Information and Database Systems, ACIIDS 2016, Pt I, 2016, 9621 : 280 - 289
[38] An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles
Shi, Xiupeng
Wong, Yiik Diew
Chai, Chen
Li, Michael Zhi-Feng
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (11) : 7145 - 7154
[39] AGENT-BASED MODELING IN DECISION - MAKING FOR PROJECT FINANCING
Scarlat, Emil
Bolos, Marcel
Popovici, Ioana Florina
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2011, 45 (02) : 5 - 16
[40] Machine learning for automation usage prediction: identifying critical factors in driver decision-making
Orellana, Carlos Bustamante
Rodriguez, Lucero Rodriguez
Huang, Lixiao
Cooke, Nancy
Kang, Yun
APPLIED INTELLIGENCE, 2025, 55 (01)

← 1 2 3 4 5 →