Further Refinement and Integrated Platform for INDOT Traffic Management and Safety Toolset

Authors

• Stanley Chien, Purdue UniversityFollow
• Shu Hu, Purdue UniversityFollow
• Yaobin Chen, Purdue UniversityFollow
• Mei Qiu, Purdue UniversityFollow
• William Lorenz Reindl, Purdue UniversityFollow
• Noah Meng, Purdue UniversityFollow
• Liya Koshy, Purdue UniversityFollow
• Sajan Kumar, Purdue UniversityFollow

Abstract

The SRP-4930, Further Refinement and Integrated Platform for INDOT Traffic Management and Safety Toolset, aims to further refine the previously developed Anomaly Detection and Weaving Analysis programs and create a unified, Web-based user interface for users to access TASI-developed software tools conveniently.

1. The INDOT Application Suite has been successfully developed for centralizing the digital platform developed by Purdue University’s Transportation and Autonomous Systems Institute (TASI). It offers a secure, single point of access to a range of specialized applications, consolidating multiple tools into a unified system.
2. A scalable, lane-wise highway traffic anomaly detection framework that operates exclusively on video-based data was designed. By leveraging AI-driven vision techniques, the anomaly detection system extracts interpretable lane-specific traffic features, including vehicle count, occupancy, and truck percentage. We introduced a novel dataset derived from real-world highway surveillance, capturing fine-grained traffic dynamics across multiple time periods and anomaly types.
3. The Highway Weaving Analysis Program has been successfully developed. Due to the technical challenges of vehicle re-identification from CCTV footage, the automated matching process can produce false positives. To address this, the system incorporates a human-in-the-loop verification step in the Web-Based Vehicle Matching Verification and Result Generation GUI. Based on this verified data, the system calculates the final lane-to-lane weaving percentages. The results are presented in a comprehensive, user-friendly report that includes Sankey diagrams visualizing the traffic flow for all vehicles, as well as for cars and trucks separately.

The entire system operates on a cloud maintained by Purdue University.

Keywords

road-dependent anomaly detection, road-independent anomaly detection, lane-wise traffic analysis, multi-model anomaly detection, weaving analysis

Report Number

FHWA/IN/JTRP-2025/36

SPR Number

4930

Sponsoring Organization

Indiana Department of Transportation

Performing Organization

Joint Transportation Research Program

Publisher Place

West Lafayette, Indiana

Date of Version

2025

DOI

10.5703/1288284318603

Recommended Citation

Chien, S., Hu, S., Chen, Y., Qiu, M., Reindl, W. L., Meng, N., Koshy, L., & Kumar, S. (2025). Further refinement and integrated platform for INDOT traffic management and safety toolset (Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2025/36). West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284318603