Method, device, and data processing equipment for estimating traffic capacity in congested areas
A traffic capacity and regional technology, applied in data processing applications, traffic flow detection, forecasting, etc., can solve problems such as aggravated congestion and aggravated road congestion, and achieve the effects of reducing costs and accurate estimation results
Active Publication Date: 2021-05-25
滴滴智慧交通科技有限公司
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Problems solved by technology
The traffic capacity of the congested area is the maximum traffic flow that can be output when the road is in a congested state. If the traffic volume entering the congested area is greater than the traffic capacity of the congested area, the congestion will aggravate, which may further aggravate the road congestion
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[0087] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may add one or more other operations t...
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The application provides a method, device and data processing equipment for estimating traffic capacity in a congested area. The method includes: obtaining historical driving trajectory data of multiple vehicles on a target road; obtaining a road speed distribution matrix according to the historical driving trajectory data; obtaining a road speed distribution matrix from the road speed Identify the bottleneck generation position and bottleneck generation time of the traffic bottleneck in the distribution matrix; determine the critical driving speed and congestion propagation speed of the congestion area caused by the traffic bottleneck according to the bottleneck generation position and bottleneck generation time; according to the critical driving speed, congestion propagation speed, The preset congested vehicle density and the preset smooth driving speed are used to predict and calculate the basic map of traffic flow, and the corresponding vehicle flow is output as the traffic capacity of the congested area. In this way, the estimation of traffic capacity in congested areas by using trajectory data that is low in cost and can fully and continuously reflect road traffic conditions can make the estimation results more accurate and provide reliable reference data for traffic control.
Description
technical field [0001] The present application relates to the technical field of traffic data processing, in particular, to a method, device and data processing equipment for estimating traffic capacity in congested areas. Background technique [0002] With the improvement of people's material living standards, the number of vehicles in the society is getting higher and higher, and the pressure on the transportation network is increasing. Vehicle congestion has become a major problem affecting the operation efficiency of the transportation network. [0003] Due to the high construction cost and the impact of the construction process on traffic, it is difficult to carry out frequent reconstruction or expansion of the traffic network. In this case, alleviating or avoiding traffic congestion through the control of vehicle flow is an important means to improve the operational efficiency of the transportation network. For roads (such as expressways) on which vehicles can only en...
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IPC IPC(8): G08G1/01G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/30G08G1/0129G08G1/0137
Inventor 郑剑峰韩雨蒙元刘向宏
Owner 滴滴智慧交通科技有限公司