Abstract
The tremendous adoption and usage of electric bikes have caused a series of challenges to road safety in China. The existing researches mainly use accumulated trajectory clusters or pairwise conflict indicators to model the potential risks among electric bikes, neglecting different spatial interactions from surrounding electric bikes or the corresponding temporal causality. A novel video-based sequential heat map method is proposed to represent the temporal influence area of a running electric bike as a teardrop-shaped thermal potential field, instead of accumulating group conflicts from irrelevant trajectories or decomposing them into several pairwise indicators. A time decay factor along with a thermal diffusion process is introduced in order to retain both spatial and temporal motion information. Moreover, a spatial–temporal potential risk index scheme based on the sequential heat map model is proposed to detect the type of potential risk as well as the occurring time and place. The experiment results have shown its strength and efficiency of the proposed risk detecting method in seeking for the potential risk areas and electric bikes’ conflicts.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
