Road network probe vehicle arrangement method based on traffic state accuracy index evaluation
A traffic state and index evaluation technology, applied in the field of traffic information, can solve problems such as difficulty in comprehensively analyzing the proportion and sampling frequency of floating vehicles at multiple levels, single analysis of the proportion or sampling frequency of floating vehicles, lack of traffic engineering verification, etc. Authentic and reliable results, wide applicability and complex structure
Active Publication Date: 2015-01-14
TONGJI UNIV
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Problems solved by technology
The classic mathematical statistical analysis method lacks the verification of traffic engineering, and the analysis of actual traffic data is limited by the data source, so it is difficult to comprehensively analyze the two parameters of floating car ratio and sampling frequency at multiple levels
Simulation-based analysis methods usually only establish simulation models for several intersections or small-scale regional road networks, and only analyze the proportion of floating vehicles or the sampling frequency. Analysis of the Influence of Variables on the Accuracy of Traffic State Estimation
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Embodiment 1
[0087] Embodiment 1: as image 3 As shown, the picture shows the simulated road network in the Lujiazui area of Shanghai. The road network has a total of 160 road sections, including complex road conditions such as trunk roads, secondary roads, branch roads, tunnels, and non-cross intersections.
[0088] Modeling first builds a road network model in the macro-simulation software VISUM according to the road geometric data, uses the SCATS coil data of each entrance road at the main intersection in the road network to reverse the start-destination point (OD) of the road network, and through the actual investigation The traffic flow of the arterial road is calibrated to ensure that the traffic state of the simulated road network matches the actual state as much as possible. Among them, the data of SCATS coil adopts the data from 4:30 to 6:30 in the evening peak on November 10, 2011, and the position of SCATS coil has been marked in image 3 middle. Secondly, the road network m...
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The invention relates to a road network probe vehicle arrangement method based on traffic state accuracy index evaluation. The method includes the following steps that (1) according to regional traffic survey, geometric data, intersection signal lamp schemes and road traffic flow of a regional road are acquired, and real traffic simulation models are established; (2) initial probe vehicle proportions and initial probe vehicle sampling frequencies are selected from the traffic simulation models and grouped so as to be tested; (3) position parameters and time parameters of all probe vehicles are acquired through simulation and two accuracy indexes of a simulation probe vehicle road network coverage rate and a road average travel speed relative error of each group are evaluated; (4) according to statistical results of simulation accuracy indexes of all the groups, the optimal values of the probe vehicle proportions and the probe vehicle sampling frequencies are acquired; (5) according to the optimal values of the probe vehicle proportions and the probe vehicle sampling frequencies, the probe vehicles are arranged in an actual road network. Compared with the prior art, the road network probe vehicle arrangement method has the advantages of being accurate in data, comprehensive and complete in analysis process, wide in evaluation result application range and the like.
Description
technical field [0001] The invention relates to the field of traffic information, in particular to a road network floating car configuration method based on traffic state accuracy index evaluation. Background technique [0002] Urban road state estimation based on floating car GPS data has been widely used in many cities in my country, such as Beijing, Shanghai, Shenzhen, Hangzhou, etc., due to its low cost, high precision, and wide coverage. At present, domestic research on the estimation accuracy of floating vehicle traffic state is mainly based on two parameters: the proportion of floating vehicles to all vehicles and the sampling frequency of floating vehicle data. The proportion of floating cars and the sampling frequency of floating cars have a significant impact on the accuracy and cost of traffic state estimation. The research aims to achieve higher estimation accuracy at lower cost through parameter analysis. [0003] At present, the evaluation of the accuracy of t...
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IPC IPC(8): G08G1/01
CPCG08G1/0112
Inventor 唐克双梅雨李克平孙剑
Owner TONGJI UNIV