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Adaptive traffic control subarea dividing method based on spatial data mining
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A technology of traffic control and spatial data, applied in the field of transportation, can solve the problem of low travel efficiency in the control area
Active Publication Date: 2019-03-01
NORTHEAST FORESTRY UNIVERSITY
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[0009] In order to solve the problem of low travel efficiency in the control area divided by the existing control sub-area division method, the present invention
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[0115] Step 1. Feature extraction of high and low peak periods and high, medium and low flow thresholds:
[0116] High, medium, and low flow thresholds are important boundaries for determining the current traffic status in different directions at intersections, and are important parameters for the realization of flow principles in the later traffic control sub-area model. The precondition for calculating high, medium and low traffic is the need to use data mining methods to realize traffic statistics in different directions at intersections at different time intervals.
[0117] Step 1.1. Calculate the traffic flow in different directions passing through the intersection, that is, calculate the traffic flow in different directions from one of the two intersecting roads into the intersection:
[0118] Step 1.1.1. Divide the two intersecting roads at the inte...
Embodiment
[0210] 1. Data preprocessing
[0211] The data set used in this invention is the GPS records of 14,000 taxis in Chengdu, from August 3, 2014 to August 30, 2014, and ignores the data from zero to six in the morning, and has been cleaned There are duplicate and abnormal records, each record contains taxi ID, latitude, longitude and timestamp, and the time interval of each record is 60s. The format of the data is as follows:
[0216] When a large number of trajectory points are displayed in chronological order, the traffic pattern, that is, the shape of the road network, can be displayed. Therefore, the experiment maps the latitude and longitude to plane coordinates, connects the coordinates in order of time stamps to form vehicle trajectories, and display...
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Abstract
An adaptive traffic control subarea dividing method based on spatial data mining belongs to the field of traffic technology. The method aims to settle a problem of relatively low outgoing efficiency of a control area which is divided by an existing control subarea dividing method. The method comprises the steps of firstly performing characteristic extraction on a peak time period, a valley time period, a high flow threshold, a middle flow threshold and a low flow threshold, selecting a traffic information characteristic which affects dividing of the control subarea; then establishing an influence weight calculating model based on a time-space characteristic, obtaining the weight of a characteristic r, and finally realizing traffic control subarea based on a weighted commodity detection algorithm divided by a dynamic module degree. The adaptive traffic control subarea dividing method is suitable for dividing the traffic control subarea.
Description
technical field [0001] The invention belongs to the technical field of traffic, and in particular relates to a method for dividing traffic control sub-areas. Background technique [0002] With the increasing development of traffic, traffic congestion has become a common phenomenon in daily travel, seriously affecting people's living standards and quality, so alleviating traffic congestion has become an important problem that needs to be solved urgently in the development of smart transportation. Among the existing control theories and algorithms, signal control is a common technical means to alleviate congestion. It has the most obvious improvement effect and the highest cost performance. It is an important means to improve the level of traffic control and manage travel efficiency. [0003] The division of control sub-regions is mainly the process of dividing the regional road network into different control sub-regions according to the dynamic traffic characteristics and sta...
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