Rail vehicle detection enabling adaptive device free crowd size estimation in subway stations

In order to enable reliable device free crowd size estimation at subway platforms during the stop and boarding time of underground rail transit systems, knowledge regarding whether or not a rail vehicle is present at the platform is crucial. To accommodate this need, we developed a low-cost battery-powered sensor node capable of detecting the presence of a rail vehicle in a subway station. We make use of two infrared laser-based time-of-flight (ToF) sensors installed at both the ingress and egress tunnel of a subway station. Due to this dual sensor approach, we are able to filter out and signal anomalous events such as a human walking past the sensor. We deployed the system at a subway station to benchmark its accuracy and found the implemented algorithms to be effective at filtering out false positives. However, recall rates are limited between 75 and 80% due to issues originating in the wireless communication stack. This demonstrates the feasibility of rail vehicle detection using ToF sensors in order to improve our device free crowd size estimation.

ISBN:978-3-031-19944-8

Jaar van publicatie:2022

Trefwoorden:P1 Proceeding

Toegankelijkheid:Closed