A new paper by Jaewon Saw, Dayu Apoji, Chien-Chih Wang, and Kenichi Soga, titled “Exploring Distributed Acoustic Sensing for Pedestrian Monitoring: Signal Characteristics and Identification,” has been published in Transportation Research Record: Journal of the Transportation Research Board.
The study investigates the use of distributed acoustic sensing for pedestrian monitoring. While previous DAS studies have often focused on vehicle monitoring, pedestrian detection presents additional challenges because pedestrian-induced signals are weaker and more variable. The experiments considered walking, jogging, running, and jumping, and examined how signal characteristics vary with movement type, speed, individual pedestrian, gauge length, and data-processing choices.
The paper demonstrates the potential of embedded fiber-optic sensing for high-resolution monitoring of pedestrian activity, contributing to the broader use of DAS in smart transportation and infrastructure systems.
Example of a waterfall plot collected when a vehicle drove from the south to the north end of the roadway. The trajectory of the vehicle as it travels along the roadway is shown by the yellow line, indicating higher FBE values.