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>Researchers from Southwest Jiaotong University Describe Findings in Machine Learning (A Simulation and Machine Learning Based Optimization Method for Integrated Pedestrian Facilities Planning and Staff Assignment Problem In the Multi-mode Rail …)
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Researchers from Southwest Jiaotong University Describe Findings in Machine Learning (A Simulation and Machine Learning Based Optimization Method for Integrated Pedestrian Facilities Planning and Staff Assignment Problem In the Multi-mode Rail …)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “To face the booming passenger flow volumes, the optimization of pedestrian facilities plans and the associated staff assignment plans in the transfer station, including adjusting pedestrian flow routes and adopting different numbers of machines, is an efficient measure to promote transfer connection and avoid passengers congestion in order to enhance the service level. We propose an integrated optimization model based on the simulation model and machine learning method aiming to provide optimal pedestrian facilities plans and the corresponding staff assignment simultaneously.”
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