Vehicle Accident Alert and Rescue Solution

dc.contributor.authorMuhammad Arslan
dc.contributor.authorSP20-BSE-031
dc.contributor.authorSana Maqbool
dc.date.accessioned2026-04-08T11:21:20Z
dc.date.issued2024
dc.description.abstractTraffic accidents remain a major public safety problem worldwide, causing loss of life and property. To address this critical issue, the Vehicle Accident Alert and Rescue Solution (VAARS) has been introduced as a comprehensive solution aimed at improving accident detection, alerting authorities, and accelerating rescue operations. VAARS leverages the latest technologies, including sensors, wireless communications, and data analytics, to create a robust and efficient system. When an accident occurs, VAARS uses on-board sensors to detect impact forces, vehicle orientation, and other critical parameters. This data is then processed in real-time and, if an accident is confirmed, an alert is immediately sent to emergency services and nearby vehicles, informing them of the location and severity of the incident. Important information is provided. The system's advanced functions include automatic communication with the vehicle's occupants, allowing real-time assessment of their status and needs. VAARS uses advanced artificial intelligence algorithms to analyse accident data, providing emergency services with information about potential hazards and the resources necessary for successful rescue operations. VAARS is designed to work seamlessly with existing emergency response infrastructure, ensuring a rapid and coordinated response by paramedics, police, and firefighters. Additionally, it incorporates GPS tracking and mapping capabilities, helping rescue teams reach the accident site accurately and efficiently. This report summarizes the key components of vehicle crash warning and rescue systems, highlighting their potential to reduce response times, improve crash outcomes, and contribute to safer roads. VAARS stands as an important solution in the field of road safety, offering a promising way to reduce the impact of accidents on our society.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/3342
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.subjectSana Maqbool
dc.subjectsp20
dc.subjectDepartment of Computer Science
dc.subjectSoftware Engineering
dc.subjectVehicle Accident Alert and Rescue Solution (VAARS)
dc.titleVehicle Accident Alert and Rescue Solution
dc.typeThesis

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