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With the rapid evolution of urban mobility, the convergence of Intelligent Transportation Systems (ITS) and next generation wireless technologies, such as 6G infrastructure, has become imperative to foster real-time traffic control and informed decision-making. Despite recent progress in ITS, a gap remains in low-latency, scalable, and standardized data dissemination methods between vehicular edge nodes and centralized traffic authorities. Significant challenges include data inconsistency, data aggregation lag, and data exchange barriers between Vehicleto-Everything (V2X) commodities and infrastructure. Current centralized or unified ITS platforms suffer from inefficient scaling, limited real-time responsiveness, and poor resource utilization in dynamic vehicular ad hoc networks (VANETs). We proposed a microservice-based RESTful API scaffold enabled with 6G, implemented using Laravel and tested using Postman, to allow secure, real-time vehicular data collection, processing, and dissemination from IoT-based smart sensors to traffic control centers. The proposed platform incorporates edge computing for localized decision-making, asynchronous data pipelines for traffic congestion prediction, and modular API endpoints for seamless contact between V2V, V2I, and cloud-based analytics layers. The platform also includes lightweight authentication and data buffering to ensure performance and security at scale. The proposed solution significantly enhances real-time situational awareness, reduces response times in traffic control, and facilitates predictive data analytics through the continuous integration of sensor data. The integration of 6G infrastructure and RESTful microservices enables highly versatile smart city deployments, thereby contributing to intelligent urban development (IUD), sustainable mobility, and digital transformation endeavors in the VANETs.

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Enabling Smart Traffic Decision-Making via RESTful APIs in 6G-Based ITS Infrastructure

  • 会议论文

  • 发表日期：

    2026年

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  • Muhammad Jamil,
  • Muhammad Farhan,
  • Farhan Ullah,
  • Sami S. Albouq,
  • Nasir Jamal,
  • Hamad Naeem

摘要

With the rapid evolution of urban mobility, the convergence of Intelligent Transportation Systems (ITS) and next generation wireless technologies, such as 6G infrastructure, has become imperative to foster real-time traffic control and informed decision-making. Despite recent progress in ITS, a gap remains in low-latency, scalable, and standardized data dissemination methods between vehicular edge nodes and centralized traffic authorities. Significant challenges include data inconsistency, data aggregation lag, and data exchange barriers between Vehicleto-Everything (V2X) commodities and infrastructure. Current centralized or unified ITS platforms suffer from inefficient scaling, limited real-time responsiveness, and poor resource utilization in dynamic vehicular ad hoc networks (VANETs). We proposed a microservice-based RESTful API scaffold enabled with 6G, implemented using Laravel and tested using Postman, to allow secure, real-time vehicular data collection, processing, and dissemination from IoT-based smart sensors to traffic control centers. The proposed platform incorporates edge computing for localized decision-making, asynchronous data pipelines for traffic congestion prediction, and modular API endpoints for seamless contact between V2V, V2I, and cloud-based analytics layers. The platform also includes lightweight authentication and data buffering to ensure performance and security at scale. The proposed solution significantly enhances real-time situational awareness, reduces response times in traffic control, and facilitates predictive data analytics through the continuous integration of sensor data. The integration of 6G infrastructure and RESTful microservices enables highly versatile smart city deployments, thereby contributing to intelligent urban development (IUD), sustainable mobility, and digital transformation endeavors in the VANETs.