A sustainable transport infrastructure is one of the pillars of a sustainable city. However, the
literature indicates that urbanization, population growth, changes in population density, and …

In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …

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 …

Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …

This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

Lane changing is a critical task for autonomous driving, especially in heavy traffic. Numerous
automatic lane-changing algorithms have been proposed. However, surrounding vehicles …

This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

The connected environment provides real-time information about surrounding traffic; such
information can be helpful in complex driving manoeuvres, such as lane-changing, that …