Pedestrian Safety in urban settings has been a reason for concern. A system designed to create a safe and smart pedestrian crossing should find a way to enforce traffic rules on both drivers and pedestrians. Smart cities have been centering on pedestrian safety when it comes to traffic management. This paper presents a novel approach for optimal pedestrian safety management at crosswalks through the integration of pedestrian detection and synchronized control of traffic signals with automatically retractable bollards. The proposed system leverages computer vision-based pedestrian detection techniques to accurately identify pedestrians in real-time, enabling the allocation of dedicated pedestrian crossing phases. Upon pedestrian detection, the system activates automatically retractable bollards, creating a physical barrier to prevent vehicles from entering the crosswalk area, thus enhancing pedestrian safety. The synchronization between bollard activation and traffic signals ensures a harmonized interaction between pedestrians and vehicles, improving overall traffic flow efficiency. The effectiveness of the proposed solution has been demonstrated through various research studies, highlighting its potential to minimize accidents and optimize pedestrian safety. Future advancements can explore the integration of advanced technologies and multi-sensor fusion for more robust detection capabilities. The implementation of this system holds significant promise in creating pedestrian-friendly urban environments and enhancing the overall effectiveness of traffic management systems.


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    Titel :

    Pedestrian Safety Management System Using Automatically Retractable Bollards


    Beteiligte:
    Shukla, Shreya (Autor:in) / Kumar, Sugam (Autor:in) / Kumar, Arvind (Autor:in) / Srivastawa, Vedant (Autor:in)


    Erscheinungsdatum :

    08.09.2023


    Format / Umfang :

    346618 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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