Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data

This paper focuses on the break-taking behaviour pattern of long-distance freight vehicles, providing a new perspective on the study of behaviour patterns and simultaneously providing a reference for transport management departments and related enterprises. Based on Global Positioning System (GPS) trajectory data, we select stopping points as break-taking sites of long-distance freight vehicles and then classify the stopping points into three different classes based on the break-taking duration. In the process of classification, we find that the three single classifications can be fitted individually by an exponential distribution and together by a power-law distribution. We then explore the relationship of the distribution of the break-taking frequency between the three single classifications and their combination. We find that the combination is a Gaussian distribution when each of the three individual classes is a Gaussian distribution, contrasting with the power-law distribution of the break-taking duration. We extract the distributions of the break-taking duration and frequency and analyse the law underlying them.