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Driver fatigue is a major cause of road accidents. However, the public remains unaware of its potential consequences in the personalized transport industry. Driver fatigue is likely to be significantly exacerbated in this population due to the nature of their jobs; thus, a thorough study of driver fatigue in personalized transport is of utmost importance. This review summarizes the current state of knowledge about the causes and consequences of driver fatigue. We also suggested some potential control mechanisms for driver fatigue in the personalized transport industry along a fatigue risk trajectory. We included studies published prior to September 2022 in two databases (Web of Science and PubMed) using a predefined search strategy. Fourteen studies met our eligibility criteria as scoped from the 224 initially identified studies. Eight contributing factors to driver fatigue were revealed including long working hours, algorithmic management, short rest breaks, limited driving experience, job demand, traffic congestion, poor quality of sleep, and additional workload. Furthermore, our review identified risk factors for driver fatigue in the personalized transport industry, including road safety, work pressure and driver’s health, optimism bias, job precariousness, and lack of additional benefits. Findings to date suggest that driver fatigue in the personalized transport industry is as serious, or more serious than truck driver fatigue. Understanding the working conditions of these drivers is critical to establish effective policies and practices for reducing crash-related driver fatigue.