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基于ACP方法的平行手机信令数据分析系统 被引量:4

Mobile Phone Signaling Data Analysis System Based on ACP Approach
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摘要 随着交通拥堵和公共安全问题的日趋严重,传统方案在道路监测和区域监测方面不仅成本高,准确性和可靠性也无法保证,因此无法给用户提供一整套综合全面的出行路线规划及旅游目的地选择等方面的相关指导.本文提出基于ACP方法的平行手机信令数据分析系统,将解决上述问题.本文主要基于ACP方法,包括人工社会、计算实验和平行执行,构建基于手机信令的人工监控场景和实际监控场景.实际监控场景和人工监控场景平行执行,人工监控场景用来模拟和实验复杂的实际监控场景,通过大量计算实验,进行各种模型的训练与评估,通过平行执行不断地更新和优化,实时指导实际监控场景;同时实际监控场景将结果反馈给人工监控场景,对人工监控场景模型进行修正.通过实际监控场景和人工监控场景之间的不断优化,可有效提高手机信令系统的实时性、准确性和可靠性,并最终满足不断增长的实时用户需求,保证用户出行的舒适性及安全性. The issue of traffic congestion and public security is becoming more and more important. Traditional solutions are not only high cost in terms of road monitoring and regional monitoring, but also the accuracy and reliability can not be guaranteed. Thus, the traditional solutions can not provide users comprehensive guidance about the travel route planning and travel destination selection and other related guidance. This paper proposes a mobile phone signaling data analysis system based on the ACP approach to solve the aforementioned problems. The ACP approach includes artificial society, computational experiments and parallel execution which build artificial monitoring scene and actual monitoring scene based on mobile phone signaling. The actual monitoring scene and artificial monitoring scene are executed in parallel. Artificial monitoring scene is used to simulate and test the complex actual monitoring scene. Through a large number of computational experiments, various models are trained and evaluated;Artificial monitoring scene constantly updates, optimizes and guides the actual monitoring scene through parallel execution;The actual monitoring scene will feedback the results to the artificial monitoring scene, thus artificial monitoring scene model is continuously amended.The continuous optimization between the actual monitoring scene and artificial monitoring scene can effectively improves the real-time efficiency, accuracy and reliability of the mobile phone signaling system. The proposed system would meet the requirements of ever-increasing real-time, and ensure the comfort and safety for the travel of the users.
作者 王迎春 韩双双 胡成云 宋瑞琦 要婷婷 曹东璞 王飞跃 WANG Ying-Chun;HAN Shuang-Shuang;HU Cheng-Yun;SONG Rui-Qi;YAO Ting-Ting;CAO Dong-Pu;WANG Fei-Yue(The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;Qingdao Academy of Intelligent Industries, Qingdao 266000, China;Qingdao Huituo Intelligent Machine Company, Qingdao 266000, China;Driver Cognition and Automated Driving Laboratory, Craneld University, Craneld MK43 0AL, UK;Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology, Changsha410073, China)
出处 《自动化学报》 EI CSCD 北大核心 2019年第5期866-876,共11页 Acta Automatica Sinica
基金 国家自然科学基金(61501461 71232006 61533019)资助~~
关键词 平行方法 手机信令 道路监控 区域人流监控 ACP method mobile phone signaling road condition monitoring regional flow monitoring
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