PLATOONING COOPERATIVE ADAPTIVE CRUISE CONTROL FOR DYNAMIC PERFORMANCE AND ENERGY SAVING: A COMPARATIVE STUDY OF LINEAR QUADRATIC AND REINFORCEMENT LEARNING-BASED CONTROLLERS

In recent decades, the automotive industry has moved towards the development of advanced driver assistance systems to enhance the comfort, safety, and energy saving of road vehicles.The increasing connection and communication between vehicles (V2V) and infrastructure (V2I) enables further opportunities for their optimisation and allows for addition

In this paper application of Particle Swarm Optimization vuori sunrise crew (PSO) based algorithm for Optimal Power Flow (OPF) in Economic Dispatch (ED) was studied.Firstly, this method is dynamic in nature and it beats the arrears of other evolutionary computation techniques such as premature convergence and provides high quality solutions.Secondl

We describe briefly the crew scheduling and rostering approach implemented in Railm@n, the system used by MAV START, the passenger railway transport company of Hungary, to organize the work s2720 of passenger train crews that is, conductors.Then we discuss the scheduling (duty generation) illamasqua bon phase of the algorithm in detail.When treated

A new course entitled "Methods of Operations Research (OR)" was introduced at the Department of Applied Mathematics of Stellenbosch University during the second half of 2001.The aim of this course was to introduce tfh sarees with price students of OR to the trauma of mathematical modelling in real-world scenarios, instead of merely teaching them a