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Fatma S. Alrayes, Jaber S. Alzahrani, Khalid A. Alissa, Abdullah Alharbi, Hussain Alshahrani, Mohamed Ahmed Elfaki, Ayman Yafoz, Abdullah Mohamed and Anwer Mustafa Hilal
Over the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones aided ...
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Muhammad Shafiq, Zain Anwar Ali, Amber Israr, Eman H. Alkhammash and Myriam Hadjouni
This research offers an improved method for the self-organization of a swarm of UAVs based on a social learning approach. To start, we use three different colonies and three best members i.e., unmanned aerial vehicles (UAVs) randomly placed in the coloni...
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Fei Gao, Zhiqiang Du, Chenyu Fang, Lin Zhou and Martin Werner
Route choice is a complex issue in simulating individual behaviors and reproducing collective phenomena during evacuations. A growing concern has been given to the individual cognitive mechanism to investigate how routing decisions are made in specific s...
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Baoju Liu, Jun Long, Min Deng, Xuexi Yang and Yan Shi
In recent years, the route-planning problem has gained increased interest due to the development of intelligent transportation systems (ITSs) and increasing traffic congestion especially in urban areas. An independent route-planning strategy for each in-...
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Andreas Scalas, Daniela Cabiddu, Michela Mortara and Michela Spagnuolo
A urban digital twin is the virtual representation of real assets, processes, systems and subsystems of a city. It uses and integrates heterogeneous data to learn and evolve with the physical city, providing support to monitor the current status and pred...
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