VANETs vehicle accident risk prediction model based on AdaBoost-SO

A technology of accident risk and prediction model, applied in the field of Internet of Vehicles, can solve the problem of failure to obtain an accident prediction model, and achieve the effect of improving timeliness

Inactive Publication Date: 2019-04-02
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] However, all these methods focus on analyzing the causes of traffic accidents from existing traffic data, and fail to obtain accident prediction models with universal applicability

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  • VANETs vehicle accident risk prediction model based on AdaBoost-SO
  • VANETs vehicle accident risk prediction model based on AdaBoost-SO
  • VANETs vehicle accident risk prediction model based on AdaBoost-SO

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Embodiment Construction

[0054] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0055] A kind of VANETs vehicle accident risk prediction model based on AdaBoost-SO, the step of described model establishment comprises:

[0056] Step 1: Populate the research dataset.

[0057] Specifically, before reconstructing the data, find and modify uncertain or incomplete road safety data to improve the data set; the usual implementation includes filling the average value of available features, special values, average values ​​of similar samples, and directly ignoring Samples with missing values.

[0058] Step 2: Use the SMOTE algorithm to balance the samples in the data set, and encode the discrete features of each sample with One-Hot.

[0059] Specifically, the Synthetic Minority Oversampling Technique (SMOTE) algorithm is used to solve the problem of unbalanced number of samples for each category in the research data set...

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Abstract

The invention provides a VANETs vehicle accident risk prediction model based on AdaBoost-SO (trichotomy Adaboost with SMOTE and One-Hot encoding) and using an SMOTE algorithm and a one-bit effective coding three-point adaptive lifting algorithm. The model can provide the theoretical basis for an ITS (International Traffic System) and driving safety assistance. According to the invention, firstly aresearch data set is filled, samples in the data set are balanced through an SMOTE algorithm, a few types of oversampling are synthesized, and each sample feature is subjected to One-Hot coding, andthen the trachomy Adaboost-SO algorithm is used for train and research the data set to obtain a system model, and finally the traffic data is imported through the VANETs to obtain the probability of vehicle accidents.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles, in particular to an AdaBoost-SO-based VANETs vehicle accident risk prediction model. Background technique [0002] With the development of today's society and economy, urban residents have put forward higher requirements for the convenience and comfort of travel, the number of cars has increased, the pressure on urban traffic has increased, and road safety problems have become more and more serious. Especially in big cities, traffic accidents lead to traffic congestion, and the threat of vehicle accidents to personal safety is becoming more and more serious, which makes the research on traffic safety of great significance. At the same time, the rapid development of Vehicular Ad Hoc Networks (VANETs), as a key technology of Intelligent Transportation System (ITS), has great potential to improve road safety and traffic efficiency. It provides original road safety information for effec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/0635
Inventor 赵海涛朱奇星蔡舒祺丁仪段佳秀朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM
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