This paper collects travel information of self-driving trip of Hanzhong City, Shanxi province, by means of web logs. At the same time, the paper analyzes the temporal-spatial behavior of self-driving trip by data exploitation. The results show that: 1.The self-driving trip to Hanzhong focuses on the months of April and October. In April, the rape flowers are in full bloom, the average stay of tourists is about 2.098 days, the tourists are primarily for excursions, and the average daily access node is 1.80. 2.The source of tourists to Hanzhong city is characterized by immediate clustering, and Xi’an, capital city of Shaanxi province, is the main source and the interchange city for car renting or car sharing from other regions. 3.The hotspot of self-driving trips inside of Hanzhong city appear the features of high aggregation, mainly in the inner city of Hanzhong, Nanzheng county, Mian county and its suburban areas. Hanzhong city is the transferring node for self-driving, and it becomes an important visiting point since the facilities have largely been improved. 4. The route of self-driving trip takes the high grade road, visitors to Hanzhong primarily take the Xihan express way and the national highway G108 as well as the surrounding national roads and provincial roads. 5. This paper has a relatively strong geographical adaptability and technical operability for the study of self-driving trip’s spatiotemporal behavior based on the analysis of web logs, and it can provide new thoughts for self-driving trip’s planning and management research.