A Review of Cloud-Edge-Vehicle Collaborative Computing for Intelligent Transportation Systems

DOI: https://doi.org/10.62517/jes.202602233

Author(s)

Wenjie Chen

Affiliation(s)

Jinling Institute of Science and Technology, Nanjing, China

Abstract

As both intelligent connected vehicles and intelligent transportation systems are undergoing rapid development, the massive volume of in-vehicle computing tasks requiring ultra-low latency and high reliability poses significant challenges to traditional cloud computing architectures. Cloud-edge-vehicle collaborative computing is widely recognized as the most promising and worthy core enabling technology to address this bottleneck, as it organically integrates the abundant computing resources of the cloud, the low-latency response capabilities of edge nodes, and the real-time perception data from vehicles.Therefore, this paper reviews the research progress on cloud-edge-vehicle collaborative computing for intelligent transportation systems: first clarifying the basic concepts and hierarchical architecture of collaborative computing systems; then summarizing key technologies, typical applications, and existing achievements; followed by an objective and thorough analysis of the primary challenges in current technology implementation; and finally, based on this, offering a reasonable discussion of future research directions. This provides a systematic reference for subsequent research.

Keywords

Cloud Computing; Edge Computing; Vehicle-to-Everything (V2X); Cloud-Edge-Vehicle Collaborative Computing; Intelligent Transportation Systems

References

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