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Shailendra Sharma is an Assistant Professor in the Department of Computer Science and Technology at Jagannath University, Jaipur, Rajasthan, India. His academic background is associated with computer science and technology. His contribution focuses on IoT-based traffic monitoring, intelligent transportation, and smart mobility applications.
This section provides an extensive summary of traffic surveillance and intelligent transportation systems utilising IoT technology. It analyses the structure of interconnected transportation systems, encompassing sensing apparatus, communication frameworks, edge gateways, cloud architecture, analytical platforms, and smart control systems. The section examines traffic sensors, GPS-equipped devices, interconnected automobiles, computer vision techniques, wireless communication systems, and data amalgamation strategies. It elucidates the ways in which machine learning and deep learning can facilitate traffic flow forecasting, congestion identification, travel-time assessment, adaptive traffic signal management, incident recognition, and multimodal transport strategising. Prospective research avenues encompass collaborative intelligent transportation systems, interconnected and automated cars, digital twins, federated learning, privacy-preserving analytics, and the optimisation of sustainable mobility. The chapter asserts that the amalgamation of IoT infrastructure with sophisticated analytics can facilitate transportation that is more responsive, secure, and ecologically sustainable, contingent upon the validation of systems in realistic scenarios and their design prioritising security, accessibility, and public welfare.