Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …

In recent years, autonomous vehicles (AVs), which observe the driving environment and
lead a few or all of the driving tasks, have garnered tremendous success. The field of AVs …

This article focuses on the speed planning problem for connected and automated vehicles
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …

This paper proposes a real-time signal timing prediction based on deep learning algorithms
that takes various traffic flow parameters as input and predicts signal timing parameters …

Intersections are hazardous places. Threats arise from interactions among pedestrians,
bicycles and vehicles, more complicated vehicle trajectories in the absence of lane …

Transportation systems play a vital role in contributing to the economic growth and social
development of urban areas. However, a number of transportation-related issues continue to …

Signal phasing and timing can be adaptive and actuated in practice. This makes it
challenging to understand what the cycle length and phase duration of the next few cycles …

Urban mobility is one of the critical challenges in modern cities that should be tackled
carefully. The exponential growth of cars number badly impacts the transportation system …

Eco-driving at signalized intersections is a topical issue in CAVs technology and an
important part of energy-efficient driving. In this paper, a robust eco-driving control method of …

Recently, efforts were made to standardize Signal Phase and Timing (SPaT) messages.
Such messages contain the current signal phase with a prediction for the corresponding …