Development of Latitude/Longitude (and Route/Milepost) Model for Positioning Traffic Management Cameras

Authors

Jijo K. Mathew, Purdue UniversityFollow
Haydn Malackowski, Purdue UniversityFollow
Yerassyl Koshan, Purdue UniversityFollow
Christopher Gartner, Purdue UniversityFollow
Jairaj Desai, Purdue UniversityFollow
Howell Li, Purdue UniversityFollow
Edward Cox, Indiana Department of TransportationFollow
Ayman Habib, Purdue UniversityFollow
Darcy M. Bullock, Purdue UniversityFollow

Recommended Citation

Mathew, J. K., Malackowski, H., Koshan, Y., Gartner, C., Desai, J., Li, H., Cox, E., Habib, A., & Bullock, D. M. (2024). Development of latitude/longitude (and route/milepost) model for positioning traffic management cameras (Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2024/03). West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317720

DOI

10.5703/1288284317720

Abstract

Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras and perhaps some presets. During real-time incident dispatching, reducing the time it takes to identify the most relevant cameras and view the incident improves incident management dispatch times. This research developed a camera-to-mile marker mapping technique that automatically sets the camera view to a specified mile marker within the field-of-view of the camera. A new performance metric on verification time (T_EYE) that captures the time it takes for TMC operators to have the first visual on roadside cameras is proposed for integration into the FHWA TIM event sequence. Performance metrics that summarize spatial camera coverage and image quality for use in both dispatch and long-term statewide planning for camera deployments were also developed. Using mobile mapping and LiDAR geospatial data to automate the mapping of mile markers to camera PTZ settings, and the integration of connected vehicle trajectory data to detect incidents and set the nearest camera view on the incident are both discussed for future studies.

Report Number

FHWA/IN/JTRP-2024/03

Keywords

roadside camera, traffic incident management, connected vehicles, trajectory, LiDAR

SPR Number

4735

Performing Organization

Joint Transportation Research Program

Sponsoring Organization

Indiana Department of Transportation

Publisher Place

West Lafayette, Indiana

Date of this Version

2024