首页|Findings from Xi’an Jiaotong University in Computational Intelligence Reported ( Predicting Citywide Crowd Flows In Critical Areas Based On Dynamic Spatio-tempor al Network)
Findings from Xi’an Jiaotong University in Computational Intelligence Reported ( Predicting Citywide Crowd Flows In Critical Areas Based On Dynamic Spatio-tempor al Network)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Computational Intelligence. According to news reporting origi nating from Xi’an, People’s Republic of China, by NewsRx correspondents, researc h stated, “Citywide crowd flow prediction is an important problem for traffic co ntrol, risk assessment, and public safety, especially in critical areas. However , the large scale of the city and the interactions between multiple regions make this problem more challenging.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
Xi’anPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningXi’an Jiaotong University
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