Abstract
In recent years, urban traffic congestion has become increasingly serious. More and more scholars have begun to study about intelligent transportation system, and the real-time detection of vehicle flow is one of the most valuable research issues. In this paper, we propose an algorithm called VFDV (Vehicle Flow Detection algorithm based on Video) that can detect vehicle flow in real time. This algorithm uses road video surveillance as the source data and extracts valid images from it to detect vehicle flow. Different from the traditional methods that use vehicle recognition method to detect vehicle flow, algorithm VFDV uses a classification algorithm to detect vehicle flow. Compared with traditional algorithms, our algorithm achieves higher accuracy. In the verification phase, the video taken at the real intersection is used as the data source. Experiments on real dataset are designed to verify the effectiveness and superiority of the proposed algorithm.
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.
