This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …

The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …

It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

The vehicular edge computing is considered an enabling technology for intelligent and
connected vehicles since the optimization of communication and computing on edge has a …

Transportation is the backbone of the economy and urban development. Improving the
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …

In this work, we tested Simultaneous localization and map** (SLAM) about mobile robots
in indoor environment, where all experiments were conducted based on the Robot …

Human-powered lower exoskeletons have received considerable interests from both
academia and industry over the past decades, and encountered increasing applications in …

Urban road travel time estimation and prediction on a citywide scale is a necessary and
important task for recommending optimal travel paths. However, this problem has not yet …

In this study, an obstacle avoidance controller based on nonlinear model predictive control
is designed in autonomous vehicle navigation. The reference trajectory is predefined using …

Cities around the world are expanding dramatically, with urban population growth reaching
nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by …