As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …

Future generation communication systems, such as 5G and 6G wireless systems, exploit the
combined satellite-terrestrial communication infrastructures to extend network coverage and …

This paper proposes a novel incremental training mode to address the problem of Deep
Reinforcement Learning (DRL) based path planning for a mobile robot. Firstly, we evaluate …

Mobile energy storage systems (MESSs) provide promising solutions to enhance distribution
system resilience in terms of mobility and flexibility. This paper proposes a rolling integrated …

Drones have been regarded as a promising means for future delivery industry by many
logistics companies. Several drone-based delivery systems have been proposed but they …

As the number of vehicles grows rapidly each year, more and more traffic congestion occurs,
becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we …

As the basic system of the rescue robot, the SLAM system largely determines whether the
rescue robot can complete the rescue mission. Although the current 2D Lidar‐based SLAM …

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

For many real-world applications, predicting a price range is more practical and desirable
than predicting a concrete value. In this case, price prediction can be regarded as a …