Enhancing Equitable Pedestrian Safety in Smart Cities: A Digital Twin Approach with Adaptive Signal Control for Pedestrians with Mobility Aids
Enhancing pedestrian safety and accessibility in smart cities is a crucial goal for modern transportation innovations. However, current pedestrian signal controls often lack optimization for individuals with disabilities and older adults, highlighting the urgent need for adaptive and equitable solutions.
Lukelo Luoga, Class of 2024 aimed to address this issue by developing a digital twin, utilizing the 2D traffic simulator SUMO and the 3D simulator CARLA, alongside a vision-based adaptive signal control system. The primary focus was enhancing pedestrian safety, particularly for those utilizing mobility aids. To achieve this, Lukelo built a beta version of a digital twin, enabling real-time vehicle and pedestrian input exchange between SUMO and the CARLA simulator.