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G. Thirupathi is an Assistant Professor in the Department of Civil Engineering at TKR College of Engineering and Technology, Meerpet, Hyderabad, Telangana, India. His academic background is associated with civil engineering education. His contribution examines the application of intelligent technologies to traffic monitoring, transportation systems, and accident detection.
The swift expansion of urban demographics, rising automobile ownership, and the proliferation of transportation infrastructures have posed considerable difficulties in traffic regulation, roadway safety, and accident mitigation. Traditional traffic monitoring systems predominantly rely on surveillance cameras, loop detectors, or standalone sensor technologies, which may prove inadequate for reliably discerning intricate traffic scenarios under diverse environmental and operating circumstances. Through the integration of these modalities, intelligent traffic systems can enhance vehicle detection, congestion assessment, identification of erratic driving behaviour, accident recognition, and coordination of emergency responses. This chapter examines the principles, structure, algorithms, applications, assessment techniques, obstacles, and novel developments related to multimodal AI in intelligent traffic surveillance and accident identification. The suggested methodology establishes a theoretical basis for a more secure, efficient, and adaptive intelligent transportation framework.