Cycling Trajectory-Based Navigation Independent of Road Network Data Support

The popularization of smart phones and the large-scale application location-based services (e.g., exercises, traveling food delivery via cycling) have resulted in emergence massive amounts personalized cycling trajectory data, spurring demand for map navigation based on trajectories. Therefore, current paper, we propose a trajectory-based algorithm without need road network data support. proposed focuses extracting information from given then guiding others to destination along original trajectory. In particular, analyzes coordinate azimuth angle collected by built-in positioning direction sensors mobile identify several turning modes provider’s addition, interference traffic conditions during collection is considered order improve recognition accuracy modes. are subsequently transformed into shared with users, so as realize Experimental results indicate that can accurately extract feature points recognize various generate correct messages, thereby users arrive at safely independent electronic platforms does not require