This study investigates the relationship between unsafe driving events, particularly harsh braking and acceleration, and crash occurrences in urban environments. Data were collected via the OSeven smartphone application from over 300 drivers operating across Mesogeion and Vouliagmenis Avenues in Athens, capturing more than 10,000 harsh acceleration and braking events. This research demonstrates the value of smartphone-derived telematics in enhancing urban traffic safety. By combining advanced statistical and machine learning techniques, it presents a scalable, real-time solution for identifying high-risk locations and understanding the behavioral underpinnings of road crashes.
| ID | pc592 |
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