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More Effective Accident Records Systems Using Natural Language Processing

by Gary S. Spring, North Carolina A & T State Univ, United States,



Document Type: Proceeding Paper

Part of: Microcomputer Applications in Transportation III

Abstract:

The paper identifies three problems associated with state Accident Records Systems: quality control of data input, inconsistencies among data files, and poor accessibility. The paper discusses some of the major issues involved in using Artificial Intelligence software to mitigate these problems and shares some thoughts on how one might deal with these issues.

Subject Headings: Traffic accidents | Artificial intelligence (AI) | Information systems | Computer software | Information management | Diversity, equity, inclusion, and accessibility (DEIA) | Control systems

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