The big data cloud platform of smart buses can provide powerful technical support for road intelligent transportation. The in-depth application of big data analysis technology will drive transportation to achieve accurate management and information services. Traffic operations can be analyzed through data mining. Vertical and horizontal contrast can be realized with the help of the accumulation and operation of a large amount of data and provide a decision-making basis and technical support for urban traffic congestion control.
Golong Technology data cloud platform of bus
Hangzhou Golong Technology Co., Ltd. builds a cloud platform framework for smart bus big data services based on big data and cloud computing technology. It can collect, store, and build algorithmic models for real-time information through massive data of bus operations, providing a big data modeling and analysis platform for urban smart transportation. Furthermore, it can carry out information collection, operation monitoring, intelligent scheduling, information release, and ERP management for buses, which will greatly improve the operational efficiency of the bus system so that passengers can have a better bus travel experience.
Golong Technology big data cloud platform of smart bus
The big data cloud platform of smart buses builds an ability to know the urban travel situation and accurately discover the rules. First of all, it can diagnose the existing problems in the routes. In addition, it can adjust and optimize routes and stations, and analyze evaluate, and optimize decision-making. Besides that, it can excavate the characteristics of travel requirements in different scenarios, plan and customize bus routes, and accurately take advantage of the operation capacity. Except that, it can scientifically evaluate the routes and operation status, and provide an effective basis for managers to practice. Through the establishment of closed-loop whole-process management of monitoring, analysis, diagnosis, optimization, and evaluation, the closed-loop infinite upgrading and iteration of the platform can be realized with the combination of expert experience and model algorithms. At the same time, it can show the change in urban travel features, urban structure, and population. The upgrade index system can adapt to urban travel needs so as to achieve the effective combination and common development of the platform and urban development.