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Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets by Woodburn, Madeleine; Griggs, Wynita M.; Marecek, Jakub; Shorten, Robert N. is a scholarly article available to read on EtoBox.

What is Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets about?

Over two thirds of women of all ages in the UK have experienced some form of sexual harassment in a public space. Recent tragic incidents involving female pedestrians have highlighted some of the personal safety issues that women still face in cities today. There exist many popular location-based safety applications as a result of this; however, these applications tend to take a reactive approach where action is taken only after an incident has occurred. This paper proposes a preventative approach to the problem by creating safer public environments through societal incentivisation. The proposed system, called "Herd Routes", improves the safety of female pedestrians by generating busier pedestrian routes as a result of route incentivisation. A novel application of distributed ledgers is proposed to provide security and trust, a record of system users' locations and IDs, and a platform for token exchange. A proof-of-concept was developed using the simulation package SUMO (Simulation of Urban Mobility), and a smartphone app. was built in Android Studio so that pedestrian Hardware-in-the-Loop testing could be carried out to validate the technical feasibility and desirability of the sy

Author

Woodburn, Madeleine; Griggs, Wynita M.; Marecek, Jakub; Shorten, Robert N.

Published

2022

Language

EN