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No. 1353Problem statementSoftware and AI

AI-Powered Mobile Urban Intelligence Platform Using Public Transport Fleet

Source

Source summary

Turn public buses into mobile urban sensors through onboard edge AI and a central platform. Analyse multiple camera views for road defects, absent/damaged markings or signs, flooding, traffic density and vulnerable pedestrian situations. For reported driving incidents, supply vehicle/plate observations with confidence, time and GPS to the command system. Aggregate fleet observations into GIS road-condition maps, congestion and origin-destination analysis, delay estimates and incident reports, limiting bandwidth through local processing. Detection outputs and safety benefits require evaluation.