Intelligent public transport, this is the Ministry of Transportation has long been realized things, but also the Ministry of Transportation is one of the earliest use of big data decision-making success stories. The Ministry of Transportation based on GPS positioning technology, 3G communication technology, GIS geographic information system technology and so on combined with the monitoring of the vehicle, the implementation of intelligent bus scheduling strategy to improve the utilization rate of buses, but also continue to reduce the burden of congestion on urban roads.

The use of big data to assist in transportation planning to assist in decision-making, as far as the public transport network is concerned, the traditional way needs to be invested in a large number of manpower to carry out OD surveys and data collection. And the current card, the data is more comprehensive in front of the decision makers, flow data can be accurately mastered, and then use the vehicle congestion time, congestion section of the big data analysis, bus line adjustment, increase and reduce the decision-making of the transfer station will be more informed.

Predicting group travel behavior, Baidu Maps has already done two weeks in advance to predict the approximate size of the number of people in a city, and this mature prediction algorithms for traffic, combined with the Ministry of Transportation's other big data, you can predict the trend of group travel, the time of possible travel, travel routes, travel modes and so on, so as to provide the decision-making for the city's vehicle scheduling. The new technology will be used in the transportation sector to help the public to make decisions on vehicle scheduling.