This study aims to explore the range of driving patterns and the habitual driving styles exhibited by 33 professional HPV drivers. The driving data is collected using a high-frequency (10 Hz) GPS device for multiple trips in a naturalistic environment. The data is segmented as events of accelerations and decelerations and a similar pattern of events is identified using the K-means clustering technique. Further, the principal component analysis revealed that the identified five driving patterns are characterized by the level of acceleration/deceleration behavior, speed behavior and speed consistency during the maneuver. The results show that, each driving pattern represents a unique driving behavior and drivers are exhibiting a minimum of three patterns within the driving period. The proportion of patterns are changing within and among the individuals showing intra-driver and inter-driver behavioral variability. The study insights are useful in developing driver specific safety models accounting for the heterogeneity in driving patterns. © 2023, Transportation Research Group of India.