Tag: Research Area: Big Data and Planning for Smart Cities

ITS Deployment Evaluation Program Technical and Program Support

Elena ChungLeave a Comment on ITS Deployment Evaluation Program Technical and Program Support

C2SMART researchers are working in partnership with Noblis to provide technical and management support for the ITS Deployment Evaluation program by populating and providing analysis of the ITS Benefits, Costs and Lessons Learned/Best Practices for an ITS Deployment Database. Additionally, C2SMART provides technical and program support for the ITS Deployment Tracking Survey and is providing technical support for modal collaboration on Evidence Based Decision Making (EBDM) to accelerate deployment.

Utilizing CAT Data for Freeway Operational Strategies

Elena ChungLeave a Comment on Utilizing CAT Data for Freeway Operational Strategies

The overall scope of the project is to assess use cases where freeway operations strategies could be improved through the transmission of data between a traffic management system (TMS) and the larger cooperative automated transportation (CAT) system (either directly or through a third party). This assessment should (1) spur development of enhanced and new operational strategies and (2) help agencies justify gaining access to additional CAT data.

Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems

Nick Hudanich

Digital Twin (DT) technology represents the next evolution in a gradual shift from physical to digital models in civil engineering. Computer-Aided Drafting (CAD) revolutionized the industry by reducing the time and costs associated with documenting the design. Building Information Modeling (BIM) has since all but eliminated the need for physical design descriptors (i.e., drawings or physical models). A digital twin is a relevant abstraction of the physical asset. Itis most frequently used to model/improve/control manufacturing systems. Civil engineering applications of DT have been starting to emerge, but transportation infrastructure represents a challenging extension of DT technology because of its spatial scale and voluminous and time-varying data. However, DT is a powerful decision support tool for the design, maintenance, and management of transportation infrastructure, particularly for studying the interdependency with other infrastructure systems.

AASHTO (American Association of State Highway and Transportation Officials) and NBI (National Bridge Inventory) Element Deterioration Rates for Bridge Management System

Nick Hudanich

The purpose of this study is to develop and implement an analytical framework to calculate deterioration rates for bridges and large culverts based AASHTO-Element inspection data as well as NBI data and demonstrate the application of the approach through currently available inspection data. This analytical approach will be applied to generate deterioration rates for NYS bridges based on, but not limited to climate and/or geographical location, DOT Region, bridge ownership, material types, design types, and bridge types. The outcome of the research will be further implemented in the AASHTO BrM and the Agile Assets Structures Manager and Bridge Analyst.

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.

Development of a Multi-Agency Construction Management Tool

Elena Chung

The main objective of this study is the assessment of the Construction Impact Analysis (CIA) and Work Zone Impact and Strategy Estimator (WISE) tools, and determining the feasibility of their customization with respect to New York City Department of Transportation (NYCDOT) and New York State Department of Transportation (NYSDOT)’s needs and requirements, cost of adoption and modification, and related issues.

Development of an Open Source Multi-Agent Virtual Simulation Test Bed for Evaluating Emerging Transportation Technologies and Policies

Elena Chung

In previous years, the research team has developed and calibrated a base model implemented in MATSim and SUMO. This virtual testbed simulates an 8-million-person population and includes cars, trains, bus, bikeshare, taxi, and other for-hire vehicles calibrated to the year 2016. The team is building the architecture to host this virtual test bed and developing system design and user guide documentation.