A lane-level real-time traffic information processing method based on spatial data
A technology of spatial data and real-time traffic, applied in the field of traffic information, can solve problems such as coarse information granularity
Active Publication Date: 2020-12-04
弈人(上海)科技有限公司
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Problems solved by technology
At present, real-time traffic information is mainly segment-level traffic information, which can only meet the needs of general navigation and route planning. For the unmanned driving decision-making layer, the information granularity is too extensive, and only more refined lane-level real-time traffic information can be used. To meet the needs, this information processing technology is still in its infancy in China, and there is still a lot of room for improvement
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[0036] The specific technical solutions of the present invention are described in conjunction with the examples.
[0037] (1) Set the space-time boundary of information processing, and remove the location data outside the boundary. The calculation period of this system is 5 minutes, and the time boundary is 5 minutes; the space boundary can be defined according to actual needs. Eliminate duplicate information. The location information of each vehicle is sorted in chronological order.
[0038] Such as figure 1 As shown in , the dot is the location point to be processed, the rectangle is the defined space boundary, and the location points outside the rectangle are outside the space boundary. Each location point has a time stamp, sort the location points according to the time stamp, first de-duplicate the repeated location points, and then delete the location points whose time stamps are not in the calculation cycle according to the system calculation cycle, and then delete th...
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The present invention belongs to the technical field of traffic information, and particularly relates to a method for processing lane-level real-time traffic information based on spatial data. The method comprises the following steps in sequence: cleaning location data; matching with a normal navigation map; estimating a path of a single vehicle, and calculating travel speed; integrating speed ofa plurality of vehicles to generate road section speed; extracting image data of a congested road section; identifying lane lines and vehicle elements; matching with a high-precision navigation map; and generating traffic information according to lanes. The method generates lane-level real-time traffic information by analyzing and mining trajectory data and front image data of the vehicle generated by a vehicle-mounted device and applying pattern recognition and deep learning techniques. The information can provide accurate data support for a lane-level navigation engine and a driverless decision system, and provide important guarantee for the system to guide the lanes and estimate travel time.
Description
technical field [0001] The invention belongs to the technical field of traffic information, and in particular relates to a lane-level real-time traffic information processing method based on spatial data. Background technique [0002] In recent years, the rapid development of artificial intelligence technology and its wide application in the automotive field have enabled unmanned driving technology to achieve rapid development in China, and the application scenarios have gradually diversified, forming a core of perception, high-precision maps, and driving decision-making. Three-element technical solution. Among the perception elements, two kinds of information need to be perceived: surrounding information of the vehicle body and real-time road condition information. The surrounding information of the vehicle body is mainly provided by on-board sensors, and the real-time road condition information is provided by the service operator. At present, real-time traffic informatio...
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IPC IPC(8): G08G1/01G08G1/0967G08G1/0968G08G1/13G06K9/00G07C5/08
Inventor 吴广君翁郁炜武继银
Owner 弈人(上海)科技有限公司