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Road accidents are a daily threat in Pakistan’s chaotic traffic mix, but a new local project aims to change that. Researchers have unveiled V-SenseDrive, the country’s first privacy-preserving driver behavior dataset, built entirely from Pakistani roads.

Instead of invasive face recordings, the dataset combines smartphone sensors (accelerometer, gyroscope, GPS) with road-facing video to capture three driving styles: normal, aggressive, and risky. Tested on everything from city streets to motorways, it mirrors the messy reality of local traffic.

By structuring the data into raw, processed, and semantic layers, the project gives developers and policymakers tools to train ADAS systems, fleet safety platforms, and insurance models tailored to Pakistan’s driving culture.

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