Street Light Radar Traffic Detection and Counting - Validation and Application to Sustainable CommunitiesStreet Light Radar Traffic Detection and Counting - Validation and Application to Sustainable Communities

Street lights in urban areas represent a convenient distributed network for collecting data to inform smart community planning. Radar motion detection of people and vehicles, using street lights as a platform, has the potential to provide great benefits in energy management, traffic control, and community planning. Nova Scotia Community College has conducted validation tests of a radar-based traffic detection and counting platform for street lights developed by our collaborating partner, LED Roadway Lighting, Ltd. Detecting and counting pedestrian and vehicle traffic in real time allows lighting levels to be adjusted to save energy, and leads to other potential smart community developments, such as enhanced traffic signaling. To validate the functionality and accuracy of the radar counting device, we set up the radar platform on a standard height street light in Nova Scotia, Canada, and verified the signals received, using in-person and video camera counts of pedestrian and vehicle traffic for comparison. Here we present the results of traffic count validation testing and discuss applications of radar motion sensing networks on street lights.

Author

Groszko, W.

Session title

Smart City Challenge: Practical Applications (S)

Category

Smart Cities & Big Data

Year

2019

Format

Poster

File

 


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