A method for estimating regional freight od distribution based on road network truck flow data
A technology of traffic data and highway network, applied in traffic control systems of road vehicles, traffic flow detection, neural learning methods, etc. wide range of effects
Active Publication Date: 2022-06-21
TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT
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[0006] The OD inversion modeling methods mainly include the multi-proportion method, the maximum entropy OD inversion model, etc., but for large-scale road networks, there are problems such as low accuracy and low efficiency.
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[0025] In order for those skilled in the art to better understand the present invention, the technical solutions in the embodiments of the present invention will be clarified and completely described below with reference to the accompanying drawings in the embodiments of the present invention. According to an embodiment of the present invention, there is provided a method for estimating the attraction amount of regional road freight based on the data of the freight traffic of the road network, the steps are as follows:
[0026] Step 1: Divide the traffic area, the study area is the "2+26" city, and the "2+26" city refers to the Beijing-Tianjin-Hebei air pollution transmission channel cities, including Beijing, Tianjin, Shijiazhuang, Tangshan, Langfang, Baoding in Hebei Province , Cangzhou, Hengshui, Xingtai, Handan City, Taiyuan, Yangquan, Changzhi, Jincheng City, Shanxi Province, Jinan, Zibo, Jining, Dezhou, Liaocheng, Binzhou, Heze City, Henan Province, Zhengzhou, Kaifeng, An...
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The invention discloses a method for estimating regional freight OD distribution based on road network truck flow data. The method interrogates the heavy truck traffic flow section observation data collected at a station. Based on the stability test of the intermodulation site data, the intermodulation site that meets the stability test is selected as the input data set. Based on the determined input data set, that is, the cross-sectional observation data of heavy goods vehicle traffic flow, the constructed OD inverse model is used to estimate the distribution of freight OD in regional traffic districts. Establish the relationship between the flow data of the intermodulation site and the OD distribution of the regional traffic area. The present invention can overcome the shortcomings of traditional OD distribution prediction relying on large-scale manual surveys. Starting from engineering practice, it is based on the cross-section freight vehicle flow data monitored by road network intermodulation stations with wide coverage, high collection frequency and good stability. Provide technical support for grasping the distribution of regional freight traffic and forecasting road network traffic flow.
Description
technical field [0001] The invention belongs to the technical field of road transportation, and in particular relates to a method for estimating the OD distribution of regional road freight. Background technique [0002] Traffic distribution refers to the starting and ending traffic volume between each cell in the area, which is usually represented by OD matrix, which can also be called OD distribution. As a macro traffic model, the OD distribution model takes into account factors such as road network structure, land use, transportation mode, and traffic control. and related policy research to provide scientific guidance. In recent years, the management and control of trucks has gradually attracted attention. Mastering the real-time and accurate traffic flow of trucks on road sections can provide support for the formulation of truck flow control policies, and obtaining the OD distribution of trucks is the basis for predicting the traffic volume of trucks on road sections. T...
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IPC IPC(8): G08G1/01G06N3/08
CPCG08G1/0125G08G1/0129G06N3/084
Inventor 宋媛媛徐洪磊吴睿杨孝文刘胜强王人洁杨扬
Owner TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT