Crash predictive model for distracted driving under mixed traffic using naturalistic driving study
Low-income and middle-income countries, including Malaysia, account for 60% of global vehicle ownership and 92% of road traffic fatalities. The rising number of casualties, largely attributed to mixed traffic conditions, presents significant challenges for drivers in these regions. Distracted drivin...
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| Format: | Thesis |
| Language: | English |
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Universiti Teknologi Malaysia
2026
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| Online Access: | https://utmik.utm.my/handle/123456789/190091 |
| Abstract | Abstract here |
