Extending the SR 522 signal Phase and Timing (SPaT) Challenge to Active Transportation Users

Abstract

Information and communication technologies offer significant advantages such as enhancing the efficiency, capacity, and reliability of traffic networks. Yet most improvements in signal management and connected vehicle interactions have concentrated on motorized traffic, neglecting non-motorized and vulnerable road users. Issues such as poor perception capabilities, outdated data gathering methods, unequal distribution of resources, and a lack of inclusivity have resulted in a challenging and hazardous environment for non-motorized users, particularly those with disabilities. To address these issues, we propose an innovative signal phase and timing (SPaT) services framework known as the Accessible Crossing Platform for Active Road Users (ACPARU) smart node. Equipped with cutting-edge computer vision algorithms and AI systems, the ACPARU smart node can collect essential data about active users such as location, category, movement direction, and mobility status, and it can create a real-time directional crossing request for each pedestrian and cyclist. The ACPARU smart node also enhances communication systems, serving as a dependable hub from which to distribute SPaT messages and manage interactions among the signal controller, connected vehicles, and users’ personal devices (like mobile phones and wearables) using various protocols. In comprehensive testing with 1,076 users across six intersections, ACPARU achieved 90.24 percent accuracy in generating directional-aware crossing triggers and 89.87 percent accuracy in estimating the mobility status of regular users and four categories of disabled individuals. The ACPARU smart node is fully compatible with connected vehicle environments and enhances the signal system affordably, primarily because of its flexibility and compatibility with existing infrastructure. The ACPARU smart node represents the first connected infrastructure system that combines traffic sensing, data processing, and information distribution to provide self-operating, unbiased signal services based on edge computing