Virtual Booth

Abstract for Project

Innovation – International Conference on Cross-Disciplinary Academic Research (ICAR) 2025

SMART AND SECURE TRAFFIC LIGHT SYSTEM (SSTLS) FOR REAL -TIME EMERGENCY

Muhamad Amirul Hafiz Bin Mohd Hazri

Faculty of Computing & Multimedia, University Poly-Tech Malaysia

[email protected]

Muhamad Syafiq Bin Mohd Yasin

Faculty of Computing & Multimedia, University Poly-Tech Malaysia

[email protected]

ABSTRACT   

 Urban growth has heightened challenges related to traffic congestion, emergency response delays, and cybersecurity vulnerabilities. Conventional traffic systems, based on fixed-timing or manual control, are inadequate for dynamic urban conditions and emergency transit needs. This research introduces the Smart and Secure Traffic Light System (SSTLS), which integrates Radio Frequency Identification (RFID), Internet-of-Things (IoT), and secure cloud communication to improve traffic efficiency and public safety. 

 The primary goal of SSTLS is to autonomously prioritize emergency vehicles at intersections by detecting authorized RFID-tagged vehicles, dynamically altering traffic signals to minimize critical response delays. Upon RFID detection, the system automatically overrides regular signal patterns, granting emergency vehicles immediate passage. This functionality directly contributes to improved public safety outcomes by substantially reducing delays in emergency medical, firefighting, and law enforcement operations. The SSTLS implements cybersecurity features such as data encryption, user authentication, and role-based access controls to protect sensitive data and system integrity. These mechanisms reduce the risk of unauthorized access or disruption to traffic operations while the protections ensure data integrity and confidentiality, significantly reducing risks associated with unauthorized access or data breaches. 

 Comprehensive empirical evaluations demonstrated the effectiveness of SSTLS, with findings indicating a significant 25% reduction in emergency vehicle response times and noticeable improvements in overall traffic flow efficiency. User acceptance testing and feedback sessions with local municipal authorities, including Dewan Bandaraya Kuala Lumpur (DBKL), affirmed the system's usability, robustness, and scalability, validating its potential for wider urban deployment. 

 In conclusion, SSTLS significantly advances the domain of intelligent urban traffic management by addressing critical challenges through innovative technological integration. The positive impacts on emergency response capabilities, traffic fluidity, and cybersecurity resilience underscore its suitability for future smart city implementations. This innovative approach to traffic management contributes directly to smarter, safer, and more secure urban mobility.

Keywords: RFID, IoT, cybersecurity, smart cities, traffic management