Unsupervised learning real-time public transport dynamic scheduling system and unsupervised learning real-time public transport dynamic scheduling method in cloud platform environment

• Main Authors: Xue Yang, Zhang Chuanchun, Chen Shenjin
• Format: Patent
• Language: Chinese; English
• Published: 24.08.2016
• Subjects: PHYSICS; SIGNALLING; TRAFFIC CONTROL SYSTEMS

The invention relates to an unsupervised learning real-time public transport dynamic scheduling system in a cloud platform environment. The system comprises a public transport cloud service scheduling system, an intelligent public transport integrated terminal, unsupervised learning public transport passenger flow, a station traffic element identifying label mounted on a bus station and used for uniquely identifying the bus station, and a traffic element identifying label mounted on a public transport vehicle and used for uniquely identifying the public transport vehicle, wherein the intelligent public transport integrated terminal is in wireless connection with the vehicle traffic element identifying label and the station traffic element identifying label respectively. In the system and method, the information of the public transport vehicle and station and the station passenger flow information can be collected through the intelligent public transport integrated terminal; in combination with the real-time d