|
|
|
|
|
Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Cao, Yi Liu and Chao Yang
When natural disasters strike, users in the disaster area may be isolated and unable to transmit disaster information to the outside due to the damage of communication facilities. Unmanned aerial vehicles can be exploited as mobile edge servers to provid...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cong Chen, Xueting Zeng, Guohe Huang, Lei Yu and Yongping Li
Motor vehicles have been identified as a growing contributor to air pollution, such that analyzing the traffic policies on energy and environment systems (EES) has become a main concern for governments. This study developed a dual robust stochastic fuzzy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pablo L. Durango-Cohen, Elaine C. McKenzie
Pág. 1025 - 1037
The development of a systematic framework to support the design of transit bus fleets is justified by the significant and long-lasting implications associated with decisions to purchase transit vehicles, as well as by developments in fuel propulsion and ...
ver más
|
|
|
|
|
|