Abstract
The current highway information system can not provide with rapid accurate service in the future. We have designed and developed CloudX, a vehicle-road cooperation cloud control platform to support these service requirements on an intelligent highway. This platform is a brain for road management and operation, which can be landing, copying and tailoring in any typical highway environment. Based on the classical control theory, the monitoring module, the analysis and prediction module, the decision-making and disposal module, and the feedback and learning module constitute a complete information closed-loop, enabling CloudX to observe and to control whole system from the remote cloud. Then, aiming at some typical applied scenarios, we illustrate how CloudX works and behaves. Finally, we analyze potential risks as well as challenges during design and implementation of CloudX.
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This work is funded by China Communications Information Technology Group under Grant No. 002020XKYF09.
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Wu, J., Sun, L., Yang, S., Li, Y., Wang, M. (2022). CloudX: A Cloud Control Platform for Intelligent Highway. In: Zhang, Z. (eds) 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021). ICITE 2021. Lecture Notes in Electrical Engineering, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-19-2259-6_3
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DOI: https://doi.org/10.1007/978-981-19-2259-6_3
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