A road holiday travel feature recognition method based on the fusion of cross-section detection traffic data and crowdsourcing data
A traffic data and feature recognition technology, applied in the field of traffic information services, can solve the problems that the economic accuracy cannot meet the traffic planning in the new era, and achieve the effects of avoiding data loss, low cost, and accurate and comprehensive data
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[0028] The present invention will be further described below in conjunction with specific examples and accompanying drawings.
[0029] The present invention proposes a road holiday travel feature recognition method that combines cross-section detection traffic data and "crowdsourcing" data. There are three aspects of travel intensity.
[0030] Step 1. Collection, processing and fusion of travel data;
[0031] Taking Beijing as an example (assuming that the change in altitude can be ignored), for the connection lines between the center of Beijing and Beijing and surrounding provinces and cities, we will arrange fixed stations every other distance S, and combine video detection technology and ground-based detectors to obtain real-time Section traffic flow, speed and occupancy and other parameters. Based on "crowdsourcing" data, road travelers are an important source of data acquisition. Through the positioning function of the mobile phone brought by the traveler, the use of m...
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