Shared mobility can provide access to transportation on a custom basis without vehicle
ownership. The advent of connected and automated vehicle technologies can further …

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

Connected and automated vehicles (CAVs) have the potential to address a number of
safety, mobility, and sustainability issues of our current transportation systems. Cooperative …

In this paper, we propose a new cooperative driving strategy for connected and automated
vehicles (CAVs) at unsignalized intersections. Based on the tree representation of the …

By efficiently building and exploiting surrogates, data-driven evolutionary algorithms
(DDEAs) can be very helpful in solving expensive and computationally intensive problems …

Vehicle merging is one of the main causes of reduced traffic efficiency, increased risk of
collision, and fuel consumption. Connected and automated vehicles (CAVs) can improve …

In this paper, we provide a decentralized theoretical framework for coordination of
connected and automated vehicles (CAVs) at different traffic scenarios. The framework …

Connected automated vehicles (CAVs) have been currently considered as promising
solutions for realization of envisioned autonomous traffic management systems in the future …