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

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Abstract

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.

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Acknowledgments

The authors acknowledge the financial support by the National NSF of China under Grant No. 61472343. J. Ding is also supported by Blue Project of Jiangsu Province, China.

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Authors and Affiliations

  1. School of Information Engineering, Yangzhou University, Yangzhou, China

    Ping Liu, Rui Wang & Jie Ding

  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

    Jie Ding

  3. Guangling College, Yangzhou University, Yangzhou, China

    Xinchun Yin

Authors
  1. Ping Liu
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  2. Rui Wang
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  3. Jie Ding
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  4. Xinchun Yin
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Correspondence to Jie Ding.

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Liu, P., Wang, R., Ding, J. et al. Performance modeling and evaluating workflow of ITS: real-time positioning and route planning. Multimed Tools Appl 77, 10867–10881 (2018). https://doi.org/10.1007/s11042-017-5364-8

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  • DOI: https://doi.org/10.1007/s11042-017-5364-8

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