Research and Application of Road Transportation Accident Related Incomplete Information Supplementation Based on Improved ROUTIDA Algorithm

In the statistical process of road transportation accident, there are problems such as missing information, abnormal indicators, and duplication in the accident data. The article mainly focuses on the problem of missing information related to road transportation accidents. Based on the traditional ROUTIDA data filling algorithm, an improved ROUTIDA algorithm is applied to fill in the missing data of accidents. It mainly considers the decisive role of the key attribute value "direct cause" in accident data for accident analysis, making the data in the road transportation accident database analyzable without affecting the conclusions of data analysis.

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Published
2024-09-20
DOI
https://doi.org/10.1109/iiotbdsc64371.2024.00014
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

Research and Application of Road Transportation Accident Related Incomplete Information Supplementation Based on Improved ROUTIDA Algorithm

Wei Zhou, Hongli Liu, Qiang Chen
Traffic Prediction and Management Techniques
article

Research and Application of Road Transportation Accident Related Incomplete Information Supplementation Based on Improved ROUTIDA Algorithm

Wei Zhou, Hongli Liu, Qiang Chen
article en

Abstract

In the statistical process of road transportation accident, there are problems such as missing information, abnormal indicators, and duplication in the accident data. The article mainly focuses on the problem of missing information related to road transportation accidents. Based on the traditional ROUTIDA data filling algorithm, an improved ROUTIDA algorithm is applied to fill in the missing data of accidents. It mainly considers the decisive role of the key attribute value "direct cause" in accident data for accident analysis, making the data in the road transportation accident database analyzable without affecting the conclusions of data analysis.

Inner Mongolia Autonomous Region Meteorological Bureau (CN), Ministry of Transport (CN), Research Institute of Highway (CN)
Openalex Percentile: Top 71%
Traffic Prediction and Management Techniques
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