New Machine Learning Study Results from Tsinghua University Described (A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles In Multi-lane Signal-free Intersections)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are presented in a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “We address the problem of optimally controlling Connected and Automated Vehicles (CAVs) arriving from four multi-lane roads at a signal-free intersection where they conflict in terms of safely crossing (including turns) with no collision. The objective is to jointly minimize the travel time and energy consumption of each CAV while ensuring safety.”