IDENTIFICATION OF FEATURES FOR TRAJECTORY SEGMENTATION ACCORDING TO THE TRANSPORT MODE

A transport network is a complex system whose analysis requires data from transport network users. The influence of the growing degree of urbanization and population places transport as one of the main factors affecting the quality of life in large cities. Therefore, research fields such as urban mobility, energy consumption, pollution reduction and security are often the subject of scientific research. All these research fields are directly or indirectly related to the mobility of transport network users. Observing the model of human mobility through data collected in different transport environments can significantly contribute to solving transport problems. An in-depth trajectory analysis, which can be supported by clustering or classification methods, can describe the mobility of users through the transport network. Recognition of everyday human activities during various locomotion and uses of transport modes has several applications, such as educating users to change their behavior pattern or promoting a healthier lifestyle. In addition, applications, which track user mobility, can help with public urban transport planning, smart parking, and vehicle traffic monitoring (Kalašová et al., 2021)