Connected autonomous vehicles (CAVs) have emerged as a promising solution for
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …

Intersection management is one of the most challenging problems within the transport
system. Traffic light-based methods have been efficient but are not able to deal with the …

Nowadays, with the advancement of technology, world is trending toward high mobility and
dynamics. In this context, intersection management (IM) as one of the most crucial elements …

We release new benchmarks in the use of deep reinforcement learning (RL) to create
controllers for mixed-autonomy traffic, where connected and autonomous vehicles (CAVs) …

Smart cities and communities (SCC) constitute a new paradigm in urban development. SCC
ideate a data-centered society aimed at improving efficiency by automating and optimizing …

Merging of entering traffic is one of the primary causes of traffic congestion on freeways. If
the movements of the vehicles entering the freeway can be coordinated in advance with the …

Transportation sector and its impacts on climate change have received much attention over
the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control …

In much the same way that the automobile disrupted horse and cart transportation in the
20th century, automated vehicles (AVs) hold the potential to disrupt our current system of …

Unknown remaining time of signal phase at a signalized intersection generally results in
extra accelerations and decelerations that increase variations of operating conditions and …

In much in the same way that the automobile disrupted horse and cart transportation in the
20th century, automated vehicles hold the potential to disrupt our current system of …