Vessel-following model for inland waterways based on deep reinforcement learning

F Hart, O Okhrin, M Treiber - Ocean Engineering, 2023 - Elsevier
With the growth of traffic on inland waterways, autonomous driving technologies for vessels
will gain increasing significance to ensure traffic flow and safety. Inspired by car-following …

An unmanned traffic command system for controlled waterway in inland river: an edge-centric IoT approach

Z Li, T Liu, S Li, L You, S Liang… - Unmanned Systems, 2024 - eprints.whiterose.ac.uk
The controlled waterway in the upper reaches of the Yangtze River has become a bottleneck
for shipping due to its curved, narrow and turbulent characteristics. Consequently, the …

Numerical Simulation of Collision Avoidance Behavior of Typical Ships in Construction Channel of the Yangtze River

X Li, Y Chen, Z Xu - 2023 IEEE 26th International Conference …, 2023 - ieeexplore.ieee.org
Renovation projects are necessary to maintain the sustainable development of waterway
transportation. During the construction period, certain navigable areas are occupied, which …

Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection

Z Zafreen, MA Fazal, UA Maisha, MS Salem, MH Sajin - 2024 - dspace.bracu.ac.bd
In this 21st century, maritime routes are crucial for geographical and financial reasons in
riverine countries which include passenger traveling, cargo vessels, fishing, etc., and play …

A Cyber-Physical Traffic Signaling System for Controlled Waterway in Inland River Based on Edge-centric IoT

Z Li, S Liang, S Gan, D Wang - Authorea Preprints, 2023 - authorea.com
A Cyber-Physical Traffic Signaling System for Controlled Waterway in Inland River Based
on Edge-centric IoT Page 1 P osted on 22 Dec 2023 — CC-BY 4.0 — h ttp s://doi.org/10.36227/techrxiv.170327095.51524761/v1 …