In order to describe the characteristics of dynamic traffic flow and improve the robustness of its multiple applications, a dynamic traffic temporal-spatial model(DTTS) is established. With consideration of the tempor...In order to describe the characteristics of dynamic traffic flow and improve the robustness of its multiple applications, a dynamic traffic temporal-spatial model(DTTS) is established. With consideration of the temporal correlation, spatial correlation and historical correlation, a basic DTTS model is built. And a three-stage approach is put forward for the simplification and calibration of the basic DTTS model. Through critical sections pre-selection and critical time pre-selection, the first stage reduces the variable number of the basic DTTS model. In the second stage, variable coefficient calibration is implemented based on basic model simplification and stepwise regression analysis. Aimed at dynamic noise estimation, the characteristics of noise are summarized and an extreme learning machine is presented in the third stage. A case study based on a real-world road network in Beijing, China, is carried out to test the efficiency and applicability of proposed DTTS model and the three-stage approach.展开更多
The laws, regulations and policy documents (national, provincial, municipal and state level) involved in "Three Lines and One Single" are sorted out and the database is built. The background dictionary is co...The laws, regulations and policy documents (national, provincial, municipal and state level) involved in "Three Lines and One Single" are sorted out and the database is built. The background dictionary is compiled, and intelligent association analysis and matching are carried out based on the specific information of construction projects and planned parks.展开更多
Smart city is the development of digital city; as its main supporting technology, the digital city geo-spatial framework has to be upgraded to the temporal-spatial information infrastructure (TSII). first, this paper ...Smart city is the development of digital city; as its main supporting technology, the digital city geo-spatial framework has to be upgraded to the temporal-spatial information infrastructure (TSII). first, this paper proposes the concept and basic framework of smart city and defines the concept of TSII - processes, integration, mining analysis, and share time-stamps geographic data - and the related policy, regulations and standards, technology, facilities, mechanism, and human resources. The framework has four components: the benchmark of time and space, temporal-spatial big data, the cloud service platform and the related supporting environment. Second, the temporal-spatial big data and cloud service platform are elaborated. finally, an application of TSII constructed by the Xicheng District Planning Bureau in Beijing is introduced, which provides a useful reference for the construction of smart city.展开更多
【意义】在全球城市多灾害风险频发的当下,如何建设具有高水平防灾韧性的交通系统已成为学界关注的焦点。相较于传统的数据类型,时空大数据以其高精细度和高信息密度的优势,在交通系统韧性研究中发挥日益显著的重要作用。然而,目前对于...【意义】在全球城市多灾害风险频发的当下,如何建设具有高水平防灾韧性的交通系统已成为学界关注的焦点。相较于传统的数据类型,时空大数据以其高精细度和高信息密度的优势,在交通系统韧性研究中发挥日益显著的重要作用。然而,目前对于时空大数据在交通系统韧性研究中进展脉络的理解相对不清晰,客观上缺少对交通系统韧性领域中时空大数据的类型、应用场景和发展趋向的综合分析。【进展】本文利用系统性文献综述方法,对在CNKI中国知网和Web of Science数据库中检索到的中英文相关文献进行了系统的综述分析,全面探讨了时空大数据应用于交通系统韧性研究的主流数据类型,量化评估、监测预警、模拟预测与系统优化4个具体实践领域及在各领域所运用的研究方法,以及相关研究的发展趋势。【展望】在总结当前时空大数据在交通系统韧性研究中的应用成就与不足的基础上,进一步展望了若干交通系统韧性研究领域未来可能的发展方向,以期为我国时空大数据赋能交通可持续发展、推进交通强国战略目标落实提供有益思考与借鉴。展开更多
基金Project(2014BAG01B0403)supported by the National High-Tech Research and Development Program of China
文摘In order to describe the characteristics of dynamic traffic flow and improve the robustness of its multiple applications, a dynamic traffic temporal-spatial model(DTTS) is established. With consideration of the temporal correlation, spatial correlation and historical correlation, a basic DTTS model is built. And a three-stage approach is put forward for the simplification and calibration of the basic DTTS model. Through critical sections pre-selection and critical time pre-selection, the first stage reduces the variable number of the basic DTTS model. In the second stage, variable coefficient calibration is implemented based on basic model simplification and stepwise regression analysis. Aimed at dynamic noise estimation, the characteristics of noise are summarized and an extreme learning machine is presented in the third stage. A case study based on a real-world road network in Beijing, China, is carried out to test the efficiency and applicability of proposed DTTS model and the three-stage approach.
文摘The laws, regulations and policy documents (national, provincial, municipal and state level) involved in "Three Lines and One Single" are sorted out and the database is built. The background dictionary is compiled, and intelligent association analysis and matching are carried out based on the specific information of construction projects and planned parks.
文摘Smart city is the development of digital city; as its main supporting technology, the digital city geo-spatial framework has to be upgraded to the temporal-spatial information infrastructure (TSII). first, this paper proposes the concept and basic framework of smart city and defines the concept of TSII - processes, integration, mining analysis, and share time-stamps geographic data - and the related policy, regulations and standards, technology, facilities, mechanism, and human resources. The framework has four components: the benchmark of time and space, temporal-spatial big data, the cloud service platform and the related supporting environment. Second, the temporal-spatial big data and cloud service platform are elaborated. finally, an application of TSII constructed by the Xicheng District Planning Bureau in Beijing is introduced, which provides a useful reference for the construction of smart city.
文摘【意义】在全球城市多灾害风险频发的当下,如何建设具有高水平防灾韧性的交通系统已成为学界关注的焦点。相较于传统的数据类型,时空大数据以其高精细度和高信息密度的优势,在交通系统韧性研究中发挥日益显著的重要作用。然而,目前对于时空大数据在交通系统韧性研究中进展脉络的理解相对不清晰,客观上缺少对交通系统韧性领域中时空大数据的类型、应用场景和发展趋向的综合分析。【进展】本文利用系统性文献综述方法,对在CNKI中国知网和Web of Science数据库中检索到的中英文相关文献进行了系统的综述分析,全面探讨了时空大数据应用于交通系统韧性研究的主流数据类型,量化评估、监测预警、模拟预测与系统优化4个具体实践领域及在各领域所运用的研究方法,以及相关研究的发展趋势。【展望】在总结当前时空大数据在交通系统韧性研究中的应用成就与不足的基础上,进一步展望了若干交通系统韧性研究领域未来可能的发展方向,以期为我国时空大数据赋能交通可持续发展、推进交通强国战略目标落实提供有益思考与借鉴。
