Tag: Year 2

NJDOT Bridge Resource Program

Elena ChungLeave a Comment on NJDOT Bridge Resource Program

The primary mission of the Bridge Resource Program (BRP) is to provide ongoing engineering evaluation and research support to the New Jersey Department of Transportation’s (NJDOT) Division of Bridge Engineering and Infrastructure Management. Major Goals of BRP is to (1) Preserve the state’s Bridge and Structural Assets, (2) Optimize the overall condition of the state’s assets within available funding limits and (3) Assist in developing the policy and standard based on new technologies to ensure structures safety and preserve NJDOT’s structures.

Development of Advanced Weigh-In-Motion (A-WIM) System for Effective Enforcement of Overweight Trucks to Reduce their Socioeconomic Impact on Major Highways

Elena Chung

The research team will first establish a test bed for the development of the advanced WIM (A-WIM) system by collaborating with local transportation agencies for the selection of the test bed site near a static weighing station. Then, it will develop a set of calibration procedures to guarantee that the level of accuracy is reached and preserved over time. These procedures will include, but are not limited to, the effect of temperature, humidity, and pavement type.

Emerging Leaders in Transportation

Nick Hudanich

Led by NYU Rudin Center Assistant Director Sarah Kaufman, the Emerging Leaders in Transportation program develops early-career transportation professionals to develop and promote innovations within their organizations. The three-day program includes professional development with executive leaders, communication work through networking activities, and site visits to major transportation management locations.

The Future of Mobility Workshop Series

Nick Hudanich

The NYU Rudin Center for Transportation specializes in policy related to the future of urban mobility. In the Future of Mobility workshops, the NYU Rudin Center will convene subject matter experts and government leaders. During the workshop, speakers and participants will identify policy initiatives and needs for seamless, technology-enabled urban travel.

An Artificial Intelligence Platform for Network-wide Congestion Detection and Prediction Using Multi-source Data

Nick Hudanich

The research team has already established an online transportation platform, named the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net). DRIVE NET can be used for sharing, integration, visualization, and analysis of transportation-related data. The proposed research aims to extend the functions of DRIVE Net by developing an AI platform for network-wide congestion detection and prediction using multi-source data.

Automated Truck Lanes in Urban Area for Through and Cross Border Traffic

Nick Hudanich

This research project will investigate the design and operations of dedicated lanes for fully automated trucks, the suitability of existing infrastructure to accommodate these novel technologies, and the potential economic ramifications on the surrounding region. The project will use the I-10 Freeway in El Paso, Texas, from the New Mexico border in the west to milepost 55 in the east, as the testbed.

Dual Rebalancing Strategies for Electric Vehicle Carsharing Operations

Nick Hudanich

The research team aims to test a new queueing network-based dynamic rebalancing strategy in test cases provided by ReachNow in Brooklyn, NY. In addition, the researchers will develop a MATSim agent model of the study area in NYC and calibrate it based on household travel survey data from NYMTC, Openstreetmaps, traffic data from NYCDOT, and transit schedules from GTFS.