Journal of IoT-based Distributed Sensor Networks (e-ISSN: 3048-9202) https://matjournals.net/engineering/index.php/JIBDSN <p><strong>JIBDSN</strong> is a peer reviewed journal in the discipline of Computer Science published by the MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of IoT-based Distributed Sensor Networks. The Journal aims to promote high quality empirical Research, Review articles, case studies and short communications mainly focused on sensor networks, Sensor Network Tasking and Self-Organization, Distributed Sensor Networks , Networking / Caching Issues, Sensor Networks for Internet of Things (IoT), Architecture, Algorithms, and Complexity Issues,Information Fusion Methodologies Based on Statistical Decision Theory, Distributed Detection / Classification Methods,Learning Patterns from Distributed Sensor Sources, Coordination, Integration, and Synchronization in Distributed Sensor Networks</p> en-US Thu, 03 Sep 2026 11:59:52 +0000 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 Smart Movable Road Divider System for Traffic Flow Management and Emergency Path Clearance https://matjournals.net/engineering/index.php/JIBDSN/article/view/4269 <p><em>Rapid urbanization has intensified traffic congestion, leading to critical bottlenecks and prolonged travel times in modern metropolitan centers. Fixed lane boundaries fail to adapt to asymmetrical traffic flows during peak commuting hours, leaving lanes in one direction underutilized while opposing lanes experience severe gridlock. Furthermore, traffic congestion heavily delays emergency response vehicles, risking lives. This paper proposes a dynamic, cloud-integrated road divider framework driven by an ESP32 microcontroller and sensor arrays. By evaluating real-time vehicular density using proximity sensors and computer vision algorithms, the system dynamically repositions a movable road divider using motor-driven actuators to reallocate lane capacity based on demand. Additionally, real-time GPS tracking and visual cues prioritize emergency vehicles by automatically reconfiguring dividers to clear dedicated transit channels. System telemetry is continuously synchronized with an IoT cloud dashboard for central monitoring and manual overrides. Experimental prototype evaluation demonstrates that the proposed framework substantially improves lane utilization and reduces emergency clearance delay.</em></p> Tulasi K. L., Siddesh N. R., Thejashreenivasa M., V. S. Diwakaran, Vinayaka M. Bhari Copyright (c) 2026 Journal of IoT-based Distributed Sensor Networks (e-ISSN: 3048-9202) https://matjournals.net/engineering/index.php/JIBDSN/article/view/4269 Fri, 09 Oct 2026 00:00:00 +0000