The main objective of the study was to explore the applicability of using principles from the field of Intelligent Adaptive Control for the on-line management and control of transportation systems. Intelligent adaptive control is an emerging multi-disciplinary field that encompasses the computational procedures of Fuzzy Logic, Artificial Neural Networks, and Genetic Algorithms. The goal of intelligent control is to design robust and learning controllers operating in an uncertain environment with very limited mathematical knowledge of the controlled process principles, which makes it quite applicable to the control of transportation systems.
Emerging automated vehicles (AV) may be able to provide advanced information about the surrounding information with video cameras, radar sensors, lida...
Vision-based navigation of autonomous vehicles primarily depends on the Deep Neural Network (DNN) based systems in which the controller obtains input ...
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