Smart City Gnosys
Smart city article details
| Title | Pedestrian Safety Management System Using Automatically Retractable Bollards |
|---|---|
| ID_Doc | 41540 |
| Authors | Shukla S.; Kumar S.; Kumar A.; Srivastawa V. |
| Year | 2023 |
| Published | Proceedings - 2023 3rd International Conference on Innovative Sustainable Computational Technologies, CISCT 2023 |
| DOI | http://dx.doi.org/10.1109/CISCT57197.2023.10351438 |
| Abstract | 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. © 2023 IEEE. |
| Author Keywords | Automatically retractable bollards; Crosswalk optimization; Pedestrian detection; Pedestrian safety management; Traffic light synchronization |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
51584  | 0.882 | Padmavathi B.; Singh H.; Sahoo A.; Verma U.; Deb S. | Smart Traffic Management For Pedestrian Safety And Smart Cities Using Digital Image Processing | AIP Conference Proceedings, 2405 (2022) |
| 47774 | 0.878 | Mohan Kumar S.; Reddy E.G.; Chandramohan S.; Prabagar S.; Latha N. | Securing Pedestrian Crosswalks In Smart Cities: An Embedded Vision System For Pedestrian Detection And Safety Enhancement | 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023 (2023) |
| 32250 | 0.875 | Dissanayake U.; Weerasekara D.; Sumanasekara H.; Ishara D.; Wijesiri P.; Moonamaldeniya M. | Intellicross: Adaptive Pedestrian Crossing System | 2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings (2025) |
| 11480 | 0.86 | Pogatsnik M.; Fischer D.; Nagy L.; Dora S. | Autonomous Pedestrian Crossing In Smart City Environment | INES 2020 - IEEE 24th International Conference on Intelligent Engineering Systems, Proceedings (2020) |
| 41539 | 0.851 | Rosse H.V.; Barbosa J.; Coelho J.P. | Pedestrian Safety Crosswalks In Smart Cities: The Vallpass Approach | Lecture Notes in Electrical Engineering, 1325 LNEE (2025) |