The escalating vehicular population in urban areas has reached critical levels, leading to heightened concerns regarding traffic congestion and safety. In response, this research paper proposes an innovative solution “smart sensing traffic lights” as a transformative measure to overcome the limitations of traditional traffic signal systems. Unlike conventional systems relying on pre-defined signal timing, the smart sensing traffic lights integrate a network of advanced sensors, including cameras, radar, and vehicle-to infrastructure communication, to capture real time traffic data. The core functionality of the smart sensing traffic light system lies in its dynamic adjustment of signal timings and sequences based on the analysis of real-time traffic data. This adaptability enables the system to respond to changes in traffic patterns, congestion levels, and overall urban activity. Notably, the system prioritizes emergency vehicles and provides adaptive crossing times, contributing to a safer and more inclusive urban environment. The simulation-based evaluation methodology follows a meticulous series of steps to ensure a robust analysis. Initially, a detailed model of the urban road network is constructed, considering factors such as road geometry, intersections, and traffic flow patterns. Real-world traffic data, encompassing vehicular density and movement patterns, is seamlessly integrated into the simulation environment to enhance the accuracy and realism of the evaluation. The smart sensing traffic lights system is then implemented within the simulation, incorporating parameters reflective of its real-world capabilities. Diverse scenarios are simulated, including peak traffic hours, emergency vehicle interventions, and unexpected traffic fluctuations. Performance metrics are precisely defined to measure traffic flow efficiency, delay reduction, and the system's adaptability to dynamic conditions. The research paper concludes by engaging in a comprehensive discussion of the implications derived from the simulation results and their practical relevance to real-world urban traffic management. The findings offer valuable insights into the potential of smart sensing traffic lights as a transformative solution for addressing contemporary traffic challenges. By contributing to the development of more efficient, adaptive, and inclusive urban transportation systems, this research lays the groundwork for future advancements in the field of intelligent traffic management.


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    Titel :

    Internet of Things (IoT) Smart Sensing Traffic Lights for Revolutionizing Urban Traffic Management


    Weitere Titelangaben:

    Lecture Notes in Intelligent Transportation and Infrastructure


    Beteiligte:
    Khang, Alex (Herausgeber:in) / Khang, Alex (Autor:in) / Singh, Khushwant (Autor:in)


    Erscheinungsdatum :

    12.01.2025


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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