ETC improves efficiency to a certain extent, but vehicles still need to slow down when passing the tollbooth.
Toll evasion occurs from time to time. The evidence data such as transaction record and vehicle information are not saved or integrated, leading to recovery difficulty.
Vehicles need to slow down when passing through the tollbooth, which will cause traffic jam. Lack of reminders and guidance for vehicles with charging problems makes the congestion even worse.
The daily traffic flow of tollbooths is large. The multi-dimensional analysis of vehicles is weak, which cannot provide scientific data support and a solid basis for operational decision-making.
Based on the independent R&D capabilities of eSurfing Cloud, the solution adopts the space-time data collection technologies of the traffic environment, to realize the real-time perception of the real size and geographic coordinates of vehicles, pedestrians and objects. The moving image segmentation technology for dense objects has been developed to analyze vehicle trajectories in real time. The real world is successfully mapped to the twin system. In addition, the solution draws on the experience of traditional GIS maps and integrates urban geographic information and PTK coordinates. Map information is integrated into the twin model at 1:1 scale. As a result, situation of the tollbooth can be perceived in a holographic way.
Data fusion and intelligent video analysis Smart video analysis system deeply fuses video data, integrates fragmented data into global and consistent sense data, and provides video device management and video analysis services. Cloud + network + edge integration, creating extreme latency The network + edge computing + cloud computing architecture realizes the one-hop to cloud of front-end data. The cloud-edge collaborative deployment optimizes computing speed.
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