Stay ready to handle unexpected risks that may arise from public-private partnerships, like mergers and acquisitions. The stakeholders involved in this project encountered similar problems but…

Share data with sufficient metadata and documentation. AI algorithms typically process vast volumes of data to generate inferences or predictions. Consequently, it's essential to provide…

Choose fairness metrics to measure AI model bias and collect sufficient data to assess error statistics across demographic groups. The optimal model isn't always the one with the least negative…

METHODOLOGY Based on the online survey, 11 out of 24 agencies confirmed using CDO in their daily operations specifically for ADA paratransit, as some agencies either didn't use CDO or used it for…

Enhance understanding of ADAS usage and activation in different scenarios by incorporating additional data sources, such as vehicle-based telematics. This study utilized crash and vehicle…

Leverage supplementary communication protocols to disseminate traveler information messages (TIMs) beyond the deployment region to maximize CV impacts. When there were a limited number of roadside…

Include a Mix of Metrics to Measure the Performance of the Rideshare to Transit Program. The experience from the LA deployment in this study revealed that ridership is a critical indicator but not…

Facilitate culture changes for transportation system cyber resilience. This could be realized by incorporating new provisions into the architecture and best practices for Intelligent Transportation…

Expand the range of work zones by using probe data to fill in detection gaps. Incorporating probe data with sensor data can provide more accurate queue warnings, reduce work zone safety costs, and…

The collection and use of bicycle and pedestrian data on a broad scale is an emerging field within traffic monitoring. It is not yet institutionalized or nationally mandated like motor vehicle data…