Using Video Analytics to Improve Traffic Intersection Safety and Performance
Published in Vehicles, 2022
Authors: Ahan Mishra, Ke Chen, Subhadipto Poddar, Emmanuel Posadas, Anand Rangarajan and Sanjay Ranka
Abstract
Road safety has always been a crucial priority for municipalities, as vehicle accidents claim lives every day. Recent rapid improvements in video collection and processing technologies enable traffic researchers to identify and alleviate potentially dangerous situations. This paper illustrates cutting-edge methods by which conflict hotspots can be detected in various situations and conditions. Both pedestrian–vehicle and vehicle–vehicle conflict hotspots can be discovered, and we present an original technique for including more information in the graphs with shapes. Conflict hotspot detection, volume hotspot detection, and intersection-service evaluation allow us to understand the safety and performance issues and test countermeasures comprehensively. The selection of appropriate countermeasures is demonstrated by extensive analysis and discussion of two intersections in Gainesville, Florida, USA. Just as important is the evaluation of the efficacy of countermeasures. This paper advocates for selection from a menu of countermeasures at the municipal level, with safety as the top priority. Performance is also considered, and we present a novel concept of a performance–safety trade-off at intersections.
Keywords
- intersection safety
- pedestrian-vehicle conflicts
- vehicle-vehicle conflicts
- intersection performance
Recommended citation: Mishra A, Chen K, Poddar S, Posadas E, Rangarajan A, Ranka S. (2022). "Using Video Analytics to Improve Traffic Intersection Safety and Performance." Vehicles. 4(4). http://ahanmishra.com/files/vehicles-paper.pdf