OHS, Kentucky Traffic Incident Management Dashboard Update and Secondary Crash Identification Automation

Grants and Contracts Details

Description

Abstract OHS, Kentucky Traffic Incident Management Dashboard Update and Secondary Crash Identification Automation TIM The project aims to update the Kentucky Traffic Incident Management (TIM) Dashboard with additional performance measures and visualizations. The project also aims to improve the existing secondary crash measure by implementing an effective text mining model that can automate the identification of secondary crashes using crash narratives. The project will improve the accuracy, accessibility, and timeliness of crash data analysis. The Kentucky Traffic Incident Management (TIM) Dashboard enables the KYTC and KSP to track and monitor incident response performance by providing key metrics, including roadway clearance time, incident clearance time, first responder vehicle crashes, commercial motor vehicle crashes, and secondary crashes. The dashboard improves the accessibility and timeliness of crash data. However, updating the secondary crash data is a challenging task due to the time-consuming process of manually reviewing thousands of crash narratives. In this study, we aim to implement machine learning models for automating the secondary crash review process. We will also work with KYTC and KSP to identify additional needs they may have and expand the functionality of exiting dashboard. The project will enable the KYTC to keep the TIM Dashboard up to date, facilitating timely performance tracking and the identification of effective incident management strategies. 1. To automate the identification of secondary crashes and improve their accuracy from less than 15% as reported in crash database to above 75%. 2. To improve the completeness of the Kentucky Traffic Incident Management (TIM) Dashboard by adding new performance metrics and visual formats.
StatusActive
Effective start/end date10/1/239/30/24

Funding

  • KY Office of Highway Safety: $86,769.00

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