New innovations in transportation to improve mobility and solve problems such as congestion are not always equitably distributed and do not impact all travelers equally. This project proposes to develop equity-based performance measures for Intelligent Transportation Systems (ITS) and new mobility technology implementations that can be used to ensure inclusivity of all users. Best practices will be studied from across the nation, and interviews will be held with local stakeholders to gain feedback.

Signal optimization and coordination represent a cost-effective approach to mitigating congestion and improving traffic flow, obviating the need for expensive infrastructure upgrades or construction. By effectively optimizing traffic signals, delays, travel times, and stops experienced by drivers can be significantly reduced, resulting in decreased fuel consumption and improved safety. In addition to the immediate benefits of reduced congestion and improved traffic flow, signal optimization and coordination offer long-term advantages.

For over ten (10) years, Princeton University’s Transportation Program, under the direction of Professor Alain Kornhauser has been developing interactive web-based tools to make readily available to planners and researchers the fundamental demand for mobility that supports a desirable quality-of-life that reflect where people live and the distribution of land uses in which real residential patterns are imbedded.