Chapter I: Adaptation and Congestion in a Multi-Agent System to Analyse Empirical Traffic Problems
Chapter II: A Multi-Agent Modeling Approach to Simulate Dynamic
Activity-Travel Patterns
Chapter III: MATSim-T: Architecture and Simulation Times
Chapter IV: TRASS: A Multi-Purpose Agent-Based Simulation Framework for Complex Traffic Simulation Applications
Chapter V: Applying Situated Agents to Microscopic Traffic Modelling
Chapter VI: Fundamentals of Pedestrian and Evacuation Dynamics
Chapter VII:“Social Potential” Models for Modeling Traffic and
Transportation
Chapter VIII: Towards Simulating Cognitive Agents in Public Transport
Systems
Chapter IX：An Unmanaged Intersection Protocol and ImprovedIntersection Safety for
Autonomous Vehicles
Chapter X：Valuation-Aware Traffic Control: The Notion and the Issues
Chapter XI：Learning Agents for Collaborative Driving
Chapter XII：Traffic Congestion Management as a Learning Agent Coordination Problem
Chapter XIII：Exploring the Potential of Multiagent Learning for Autonomous Intersection
Control
Chapter XIV：New Approach to Smooth Traffic Flow with Route Information Sharing Multiagent Learning on Traffic：Lights Control: Effects of Using Shared Information
Chapter XVI：The Merit of Agents in Freight Transport
Chapter XVII Analyzing Transactions Costs in Transport Corridors Using Multi Agent-Based
Simulation
Chapter XVIII：A Multi-Agent Simulation of Collaborative Air Traffic Flow Management
2021-08-05 14:32:38
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同和新媒体矩阵
文档
自媒体大航海时代，五大矩阵领航
同和新媒体矩阵是什么？
我们旨在通过IT/互联网+技术手段，为处于自媒体大航海时代的中小型创作者提供高效和去中心化的创作辅助服务，这些服务包括素材处理、信息分发、作品展示、版权保护等等，我们归类为五大子矩阵分别处理不同的业务：
文学矩阵：同步&储存&展示成员专栏文章作品
素材矩阵：共享&展示&归档图片、音乐、视频素材
视频矩阵：同步&储存&展示&维权成员视频作品
分发矩阵：分发文章、图片、音乐、视频作品到各大媒体平台
创作矩阵：帮助创作者找到相关领域的合作伙伴&法务咨询&共享商单
对于持续发展的新媒体领域，我们相信混合云服务（私有云+公有云）是未来创作者的主流选择，所以在此与众多合作机构共同推出了这套开源矩阵框架，任何部署了此框架并遵守矩阵守则的主体都可以开设属于自己的新媒体矩阵，根据主体的需求，选择性地加入上述五大子矩阵，优化个人
2021-08-05 12:03:11
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555定时器电路测试积分电路占空比可调电路Multisim仿真源文件，Multisim10以上版本可打开运行.
单稳态延时电路.ms10
单稳态延时电路.ms10 (Security copy)
占空比可调电路设计.ms10
占空比可调电路设计.ms10 (Security copy)
积分电路.ms10
积分电路.ms10 (Security copy)
2021-08-04 18:07:25
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本文档详细介绍了多目标跟踪领域的MHT（多假设跟踪算法原理，具体算法），适合对于多目标跟踪的初学者，以及深入了解MHT的人
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易于使用（实例化和运行！）Java MMCMS - 大规模多客户端多服务器库。
2021-08-03 10:02:36
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Multi-Stage Progressive Image Restoration文献调研
2021-08-03 09:49:41
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