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The objectives of this project are to research, develop, and demonstrate data processing techniques, models, simulations, smart phone applications, and a visual-confirmation system for efficient urban goods delivery.

The objective of this project is to design, test, and evaluate a solution for a scalable curbside electric vehicle charging station solution utilizing existing infrastructure to meet the growing market demands for electric vehicles. Project results and the resulting concept will be broadly disseminated to ensure a meaningful and lasting market impact.

This project aims to improve multi-vehicle heavy-duty truck platooning efficiency and safety through the use of automated controls, advanced communications, real-world testing, data analysis, and simulation development. This project aims to autonomously control the entire fleet of three following vehicles – throttle, brake, and steering – while optimizing the entire platoon for fuel efficiency and safety.

The objective of this project is to expand the availability of electric vehicle (EV) charging at low cost in urban settings using existing electrical infrastructure on the streetlight system to provide on-street EV charging, as well as charging for multi-family dwelling units (MFDU).

This project will explore micro-transit solutions for public transit resulting in coordinated multi-modal movement of people.

The objective of the project is to develop and demonstrate a replicable community-level real-time data driven transportation model capable of predicting and enabling synergistic traffic management system (TMS) and energy management systems (EMS) optimization.