Introduction: Mobile phones are used universally due to their versatility and easy-to-use
features; this includes when users are walking and when crossing streets. At intersections …

The advancements in Intelligent Transportation Systems have brought a heightened focus
on safety, driven by innovative solutions like Vehicle-to-Everything (V2X) communication …

Nowadays, an autonomous car driver scheme (ACDS) plays a significant role in accessing
vehicles. Due to its high rate of complexity, the performance based on risk evaluation …

Driving behavior is considered as a unique driving habit of each driver and has a significant
impact on road safety. This study proposed a novel data-driven Machine Learning …

As the Autonomous Vehicle (AV) industry is rapidly advancing, the classification of non-
motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to …

Driving behavior is a unique driving habit of each driver, and it has a significant impact on
road safety. Classifying driving behavior and introducing policies based on the results can …

Traffic estimation using probe vehicle data is a crucial aspect of traffic management as it
provides real-time information about traffic conditions. This study introduced a novel …

Roadway signs detection and recognition is an essential element in the Advanced Driving
Assistant Systems (ADAS). Several artificial intelligence methods have been used widely …

Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of
global road accidents. Advances in traffic communication ecosystems, coupled with …

Monitoring asset conditions is a crucial factor in building efficient transportation asset
management. Because of substantial advances in image processing, traditional manual …