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 …

Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …

The exponential growth of communal media platforms including Facebook and Twitter, and
the accessibility of low-cost digital capturing devices have generated an enormous number …

Artificial Intelligence (AI) has driven solutions in diverse areas; one of the most prominent
fields is Computer Vision (CV). Accordingly, solutions to effectively detect road accidents can …

Automatic traffic accident detection has attracted the attention of the machine vision
community for the rapid development of autonomous intelligent transportation systems (ITS) …

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

An enormous amount of video data is generated every day as a result of the widespread
deployment of security cameras due to recent technological advancements. Analyzing such …

To develop the advanced self-driving systems, many researchers are focusing to alert all
possible traffic risk cases from closed-circuit television (CCTV) and dashboard-mounted …

Road surveillance systems play an important role in traffic monitoring and detecting
hazardous events. In recent years, several artificial intelligence-based approaches have …

Humans are able to intuitively deduce actions that took place between two states in
observations via deductive reasoning. This is because the brain operates on a bidirectional …