Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

The goal of this study is to provide an overview of previous research that investigated
pedestrian violation behaviour, with a focus on identifying the contributing factors of such …

Direct-demand models of pedestrian volumes (identifying relationships with built
environment characteristics) require pedestrian data, typically from short-duration manual …

Vehicle-to-pedestrian (V2P) communication can significantly improve pedestrian safety in a
connected vehicle environment. However, pedestrian safety is hindered as pedestrians …

Real-time traffic data at intersections is significant for development of adaptive traffic light
control systems. Sensors such as infrared radiation and GPS are not capable of providing …

Edge computing aims to address the challenges associated with communicating and
transferring large amounts of data generated remotely to a data center in a timely and …

Progress in high-performance computing (HPC) systems has led to complex applications
that stress the I/O subsystem by creating vast amounts of data. Lossy compression reduces …

As camera quality improves and their deployment moves to areas with limited bandwidth,
communication bottlenecks can impair real-time constraints of an intelligent transportation …

One challenging aspect of the connected and automated vehicle (CAV) operation in mixed
traffic is the development of a situation-awareness module for CAVs. While operating on …

Autonomous vehicles greatly rely on their perception system for navigation. Semantic
segmentation provides a much better understanding of a vehicle's surroundings than object …