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Path Planning Method Based on Congestion Level Prediction Analysis

A predictive analysis and path planning technology, applied in the field of intelligent transportation, can solve the problems of complex algorithms and insufficient comprehensive influencing factors, and achieve the effects of alleviating traffic congestion, widening the forecast range, and reducing the complexity of forecasting

Active Publication Date: 2022-03-04
XIDIAN UNIV
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Problems solved by technology

However, among the above two predictive route planning methods, the former requires a lot of calculations to determine the predictive model, and the factors considered are not comprehensive enough. algorithm complexity

Method used

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  • Path Planning Method Based on Congestion Level Prediction Analysis
  • Path Planning Method Based on Congestion Level Prediction Analysis
  • Path Planning Method Based on Congestion Level Prediction Analysis

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Embodiment Construction

[0029] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0030] refer to figure 1 , the present invention comprises the following steps:

[0031] Step 1, acquire urban road detection coil data or other road sensor data.

[0032] Urban road detection coils are usually located around the road or buried under the road, and can calculate the speed of the vehicle by sensing the arrival and departure of the vehicle; other road sensors include road cameras, ultrasonic sensors, and geomagnetic sensors, which can easily obtain the vehicle's driving speed speed;

[0033] The average speed of the road can be obtained by averaging the speeds of all vehicles obtained at a certain moment, and this data can be directly provided by detection coils or road sensors.

[0034] Step 2. Judging the current road state according to the average road speed data provided by the detection coil and the respective speed ranges of the f...

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Abstract

The invention proposes a path planning method based on congestion level prediction analysis, which mainly solves the problems of large demand for real-time data and complex prediction in the prior art. The scheme is: judge the state of a certain road by the average speed of the road and the divided road grades, integrate the factors of road topology, time and weather, and count different road conditions and their corresponding road states; analyze the statistical data to get The one-step transition probability of the road state, establishes the corresponding relationship between the one-step transition probability and the road condition; obtains the predicted road state transition chain according to the corresponding relationship and the current road condition of the predicted road; obtains the predicted road by the current road condition according to the one-step transition probability matrix of the chain. The probability of the state transitioning to a certain state, according to the comparison of the probability and the probability threshold, it is judged whether the road is passable. The invention reduces the demand for real-time traffic data, reduces the complexity of forecasting, and can be used for the passage route selection when vehicles travel in the urban road network.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a route planning method, which can be used for the passage route selection when vehicles travel in an urban road network. Background technique [0002] Urban traffic is the top priority of urban life and an important symbol to measure urban civilization. With the rapid development of social economy and the rapid growth of urban traffic demand, the traffic problem has become an urgent problem to be solved in the process of urban development. As the most significant manifestation of traffic problems, traffic congestion directly leads to serious problems such as traffic accidents, wasted driving time, rising operating costs, and air pollution. This also makes traffic congestion the key to restricting urban economic and social development. [0003] In recent years, urban road congestion has become more and more serious, directly affecting the overall o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/34
CPCG01C21/3492
Inventor 李长乐张和和岳文伟陈越
Owner XIDIAN UNIV
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