In this paper, traffic and vehicle density optimization issues are discussed, and a suitable
solution for autonomous driving environments is proposed. The problem of scalable traffic …

Traffic anticipation enhances driving intelligence and strengthens the ability to take early
vehicle control action, eg, lane change and speed adjustment, in a dynamically varying …

This study aimed to resolve a real-world traffic problem in a large-scale plant. Autonomous
vehicle systems (AVSs), which are designed to use multiple vehicles to transfer materials …

One of today's most serious social, economical and environmental problems is traffic
congestion. In addition to the financial cost of the problem, the number of traffic related …

Autonomous Vehicles (AVs) promise to disrupt the traditional systems of transportation. An
autonomous driving environment requires an uninterrupted, continuous stream of data and …

With recent technological advancements, the commercialization of autonomous vehicles
(AVs) is expected to be realized soon. However, it is anticipated that a mixed traffic of AVs …

Connected Autonomous Vehicles (AVs) promise innovative solutions for traffic flow
management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication …

This paper outlines a predictive maneuver-planning method for autonomous vehicle
navigating public highway traffic. The method integrates discrete maneuvering decisions, ie …

This paper proposes a novel control architecture for autonomous vehicle driving in a
dynamic and uncertain traffic environment. The architecture is composed of three levels:(1) …

In this paper, a prediction-and cost function-based algorithm (PCB) is proposed to
implement robust freeway driving in autonomous vehicles. A prediction engine is built to …