The intelligent bus that the Ministry of Communications has already realized is also one of the earliest successful cases of the Ministry of Communications using big data. According to GPS positioning technology, 3G communication technology, GIS geographic information system technology and so on, the Ministry of Communications has implemented intelligent bus dispatching strategy, which improves the utilization rate of buses and continuously reduces the congestion burden of urban roads.
Using big data to assist traffic planning and decision-making, as far as public transport network is concerned, the traditional way needs to invest a lot of manpower to conduct OD investigation and data collection. At present, the all-in-one card allows the data to be displayed more comprehensively in front of decision makers, and all traffic data can be accurately grasped. At the same time, after using the big data analysis of traffic congestion time and congested road sections, the decision to adjust bus routes and increase or decrease transfer stations will be more evidence-based.
Predicting group travel behavior, Baidu map can already predict the approximate population size of a city two weeks in advance. After this mature forecasting algorithm is applied to traffic, combined with other big data of the Ministry of Communications, it can predict the situation of group travel, predict the possible travel time, travel route, travel mode, etc., thus providing decision-making help for urban vehicle scheduling.