Although technology advances these years, the optimization problem of coordinating
autonomous merging high-ways is challenging. This paper aims to achieve a smooth and …

On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed
traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate the …

Despite the advancements of self-driving cars, autonomous on-ramp merging on highways
still proposes difficulties. To solve this merge problem a simulation was set up in the Unity …

The interaction between ramp and mainline vehicles plays a crucial role in merging areas,
especially in the mixed-traffic environment. The driving behaviours of human drivers are …

Decision making in dense traffic can be challenging for autonomous vehicles. An
autonomous system only relying on predefined road priorities and considering other drivers …

High-speed highway on-ramp merging is a significant challenge toward realizing fully
automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine …

High-speed highway on-ramp merging is one of the most difficult and critical tasks for any
autonomous driving system. This work studies this problem by combining deep deterministic …

The paper investigates the cooperative decision-making for mixed traffic (CDMMT) ramp
merging problem based on a multi-agent reinforcement learning (MARL) approach. With the …

On-ramp merging is often associated with highly dynamic interactions between ego and
other vehicles, which are more challenging in dense traffic. Considering both the overall …

In this paper, we focus on the problem of highway merge via parallel-type on-ramp for
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …