In the dynamic urban landscape, where interplay of vehicles and pedestrians defines the
rhythm of life, integrating advanced technology for safety and efficiency is increasingly …

The dynamic and unpredictable nature of road traffic necessitates effective accident
detection methods for enhancing safety and streamlining traffic management in smart cities …

Accident detection and traffic analysis is a critical component of smart city and autonomous
transportation systems that can reduce accident frequency, severity and improve overall …

Automatic recognition of road accidents in traffic videos can improve road safety. Smart cities
can deploy accident recognition systems to promote urban traffic safety and efficiency. This …

Recently, with the increasing complexity of urban environments, the need for advanced
technologies to ensure safe transportation in smart cities has become paramount. It has …

Accident detection and public traffic safety is a crucial aspect of safe and better community.
Monitoring traffic flow in smart cities using different surveillance cameras plays a crucial role …

This paper provides a deep learning-based method for traffic accident identification in smart
transportation that is based on machine vision and uses the YOLOv8 architecture. The goal …

Accident detection and traffic analysis are critical components of smart city and autonomous
transportation systems that can reduce accident frequency and severity and improve overall …

The emergence of smart cities demands harnessing advanced technologies like the Internet
of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities' potential to …

Emergency management systems' performance relies on effective utilisation of available
resources and timely delivery of designated services. Intelligent transportation systems are …