Performance modeling and evaluating workflow of ITS: real-time positioning and route planning

Performance modeling and evaluating workflow of ITS: real-time positioning and route planning
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ITS性能建模与评估工作流程:实时定位与路径规划

DOI:
10.1007/s11042-017-5364-8
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发表时间:
2018
影响因子:
3.6
通讯作者:
Yin Xinchun
Yin Xinchun
中科院分区:
计算机科学4区
文献类型:
--
作者:
Liu Ping;Wang Rui;Ding Jie;Yin Xinchun

文献摘要

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智能交通系统(ITS)作为集控制技术、通信技术、车辆传感技术和车辆电子技术于一体的综合系统,为日益严重的交通问题提供了有价值的解决方案。在ITS的建设和运营过程中,大数据特别是多媒体数据的快速产生,使得交通信息越来越复杂,交通管理面临新的挑战。因此,为了实现对各类交通资源的高效管理,更好地利用ITS,对ITS的体系结构和性能进行深入研究是十分必要和有意义的。通过在性能评估过程代数(PEPA)中将系统划分为不同的功能模块,并将这些模块分配给组件,可以采用一种新的方法来实现ITS中实时定位和路线规划工作过程的建模和评估。同时,采用流体流动近似,通过PEPA模型进行性能分析,保证了系统的响应时间、最大利用率和吞吐量的实现和分析。
Intelligent Traffic Systems (ITS), as integrated systems including control technologies, communication technologies, vehicle sensing and vehicle electronic technologies, have provided valuable solutions to the increasingly serious traffic problems. In the process of construction and operation of ITS, big data, especially multimedia data is produced at a rapid speed, which has made traffic information more and more complicated, causing traffic management facing new challenges. Hence, in order to achieve efficient management of all types of transportation resources and make better use of ITS, it is necessary and significant to study the architecture and performance of ITS in depth. Through dividing the system into different functional modules and assigning these modules to components in Performance Evaluation Process Algebra (PEPA), we can adopt a new method to realize the modeling and evaluating the working process of real-time positioning and route planning in ITS. Meanwhile, the fluid flow approximation is employed to conduct a performance analysis through PEPA models, guaranteeing that the response time, the maximum utilization and the throughput of the system can be achieved and analyzed.