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. 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 continue study in depth on the architecture and performance of ITS. This paper adopts one kind of stochastic process algebra (SPA)—Performance Evaluation Process Algebra (PEPA) to model and evaluate the 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, then the maximize utilization and the throughput of the system can be achieved and analyzed.
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Acknowledgements
The authors acknowledge the financial support by the National NSF of China under Grant No. 61472343.
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Liu, P., Wang, R., Ding, J., Yin, X. (2018). Modeling and Evaluating Workflow of Real-Time Positioning and Route Planning for ITS. In: Lu, H., Xu, X. (eds) Artificial Intelligence and Robotics. Studies in Computational Intelligence, vol 752. Springer, Cham. https://doi.org/10.1007/978-3-319-69877-9_30
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DOI: https://doi.org/10.1007/978-3-319-69877-9_30
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