Impact of Ride-Sharing in New York City

This project aims to develop a comprehensive holistic model of urban transportation demand given multiple available modes, including for-hire vehicles and their shared options. The model will enable assessment of the impact of shared mobility on urban transportation mode choice, which can be further translated into economic, social, and environmental impacts.

Research on Concrete Applications for Sustainable Transportation (RE-CAST)

This project has many parts, and the NYU team is currently working with Rutgers on the RE-CAST 2D subproject. This subproject aims to test the bend strength of reinforced concrete that is repaired and strengthened using the four techniques: External Prestressing, Fiber-Reinforced Ferrocement Composite, Fiber-Reinforced Self Consolidating Concrete, and Fiber-Reinforced.

Development of Autonomous Enforcement Approach using Advanced Weigh-In-Motion (A-WIM) System to Minimize Impact of Overweight Trucks on Infrastructure

In this study, the team investigated the effect of overweight trucks on the pavement and bridge damage from a national perspective to develop the most efficient enforcement approach to minimize infrastructure damage. The enforcement approach will include the continuation of the development of the A-WIM system and expanding its deployment.

Securing Intelligent Transportation Systems against Spoofing Attacks

Game theory is a powerful tool for security risk analysis that has been extensively used in various engineering systems, and game-theoretic approaches have been applied to studying the security of routing in transportation and communications. This project will be the basis for a synthesis of game theory and queuing theory, essential for capturing the interaction between the queuing dynamics and players decisions, in order to protect the ITS system from spoofing and attacks.

Equitable Access To Residential (EQUATOR) EV Charging

The primary objective of this research project is to define quantifiable metrics that make it possible to adequately represent accessibility of EV charging infrastructure and to internalize these metrics in decision-support procedures and tools that are used by utilities and authorities to determine electricity rates (tariffs) and additional incentives to promote investments in EV charging infrastructure.