Active transportation users (e.g., bicyclists, pedestrians) face rising traffic injuries and fatalities in the U.S., concentrated at locations that are difficult to study (e.g., unsignalized intersections, crosswalks, and sidewalks). Under the Safe System Approach and Vision Zero, cities need proactive, data-driven tools to identify risk before fatal outcomes or serious injuries occur. Emerging sensor technologies and deep learning-based algorithms offer promising solutions to these challenges by collecting road user trajectory data for evaluating unsafe user interactions. While camera-only systems are common and affordable, fusing multiple-sensor data enables comprehensive data collection across diverse environmental conditions. Yet these sensors face significant deployment barriers, including hardwired power requirements and the need for skilled technicians, which often restrict them to signalized intersections with existing traffic cabinets and limit the scale of safety research. Given that many injuries and fatalities occur at unsignalized intersections and mid blocks, there is a pressing need for cost-effective, easily deployable methods to observe traffic dynamics and assess active transportation user risk. The research team will assemble a low-cost, battery-powered LiDAR-camera prototype and develop an offline data processing workflow for repeated deployments at locations beyond signalized intersections. The primary technical challenge will be to maintain data consistency across multiple short-term sessions. Through repeated data collection at three to five campus locations, the research team will test whether existing automated techniques can align each session to a baseline reference map. The research team will also evaluate whether the fused configuration in the mobile setting extracts trajectories and classifies modes more accurately than LiDAR-only or camera-only configurations. If the approach proves feasible, future work will extend the workflow to public roadway locations and enable researchers and practitioners to conduct safety assessments in any environment.