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Developing architecture of a traveler information system for dynamic equilibrium in traffic networks 被引量:1
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作者 Mohammad Hossein Noranian Ahmad Reza Tahsiri 《Journal of Modern Transportation》 2017年第2期106-115,共10页
Having criticized the current architecture of Advanced Traveler Information Systems (ATISs), this work discusses a new base of requirements to develop a new paradigm for traffic information systems. It mainly integr... Having criticized the current architecture of Advanced Traveler Information Systems (ATISs), this work discusses a new base of requirements to develop a new paradigm for traffic information systems. It mainly integrates three dimensions within a traffic system: drivers' pattern of behavior and preferences, urban traffic desires, and capabilities of traffic information service providers. Based on the above, functional segments from several related backgrounds are brought together to structure a new architecture, called Interactive Traveler Information System (ITIS). The main interactive feature of this new architecture is a two-way communication track between drivers and the traffic information system provider-in fact, a decision on choosing a road at a particular time for an individual will be made based on the utility of both sides. This new configuration consists of driver-side smartphone application, centric traffic prediction, and decision-maker units, which will shape a new approach of decision-making processes. These all work together to satisfy the designated goal of ITIS, which is preserving the Wardrop equilibrium condition in the traffic network level. Finally, we concentrate on a comparison study, which shows a differentiation between performance of the proposed ITIS and the current ATIS model in a real situation. This has been done with simulations of analogical scenarios. The most noticeable advantage of the proposed architecture is not being limited to a saturation limit, and the positive effect of increasing system penetration in the performance of the newly introduced information system. In conclusion, new research subjects are suggested to be carried out. 展开更多
关键词 Advanced Traveler Information System (ATIS) System architecture Requirement engineering Mobile network Dynamic equilibrium - intelligent transportation system
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演化博弈强化学习模型在智能博弈对抗中的应用
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作者 王军 曹雷 +2 位作者 赵伟 张人文 龚洪涛 《陆军工程大学学报》 2023年第5期34-43,共10页
智能化指挥控制的核心问题是智能决策问题,智能决策的基础是作战计划的推演和行动计划的优化。演化博弈强化学习模型通过引入演化博弈,使模型能够充分考虑对手的博弈意志和指挥艺术,并且在求解过程中可以使用现有的强化学习算法进一步... 智能化指挥控制的核心问题是智能决策问题,智能决策的基础是作战计划的推演和行动计划的优化。演化博弈强化学习模型通过引入演化博弈,使模型能够充分考虑对手的博弈意志和指挥艺术,并且在求解过程中可以使用现有的强化学习算法进一步提升模型的效率。针对离散和连续两种不同场景,分别推导出对应的复因子动力学方程,并给出了非对称博弈问题的一般性求解策略,摆脱了“理性人”这一假设的演化博弈强化模型。相较于现有模型,表征精度更好,刻画博弈对抗更精确,更符合军事对抗实际,有助于智能蓝军的精准化建设,相关结论在多智能体建模平台NetLogo上进行了验证。 展开更多
关键词 智能化指挥控制 演化博弈 强化学习 纳什均衡
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