Tech Transfer: Webinars Seminars Conferences Collaborative Platforms Innovation Events

C2SMARTER is committed to pursuing implementable solutions to today’s most challenging urban transportation problems and ensuring those solutions make the transition from the research phase to real-world applications. The Center’s technology transfer strategy is a key part of this mission, which includes facilitating data- and information-sharing among academia, government, and industry and seeking ways to hear and meet the needs of various stakeholders in transportation. To ensure that the outcomes of our research reach the appropriate parties, C2SMARTER and its affiliated faculty researchers commit time and resources to involving key stakeholders in the research process and undertaking a comprehensive outreach and dissemination program. 

Technology Transfer

We are developing innovative solutions that focus on emerging disruptive technologies and their impacts on transportation systems with the aim of accelerating technology transfer from the research phase to the real world.

Technology Transfer

We are developing innovative solutions that focus on emerging disruptive technologies and their impacts on transportation systems with the aim of accelerating technology transfer from the research phase to the real world.

Project Spotlights

UPDATED: BQE Urban Roadway Testbed

The BQE is a critical unique NYC asset; one whose importance is underscored by its immense daily usage by various modes of transport. This consistent and longstanding use has led to wear and tear which will require long term remedy by the city to ensure its health and survival. In the meantime, Structural Health Monitoring (SHM) is being undertaken to keep the bridge safe for the more than 153,000 average vehicles who use it daily. C2SMARTER data, largely collected by Weigh in Motion (WIM) sensors, has shown that there are illegally overweight trucks damaging the structure, which city officials are now taking unprecedented steps to mitigate.
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MOBILITY DATA DASHBOARD

Leveraging open data from multiple sources, this project features both traditional and innovative techniques，such as data mining and visualization, agent-based traffic simulation model and real-time computer vision technique, to help researchers and transportation authorities understand and observe the impact of the pandemic on transportation.
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floodsense

FloodSense works to better understand the frequency, severity, and impacts of flooding in New York City through its network of innovative information sources on street flooding impacts in neighborhoods that are vulnerable to high tides, storm surge, and stormwater runoff. The data and knowledge gained can be used by local residents, researchers, city agencies, and others to advocate around and work to reduce flood risk.
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MATSim: Modelling NYC

MATSim allows us to integrate all available datasets into a comprehensive, connected model of cities to test and predict the impact of new transportation technologies and services on city infrastructure with real-time information.
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Webinars & Seminars

C2SMARTER Webinars

10 Videos

Common Innovation Platform

C2SMARTER built a new collaborative research platform, Common Innovation Platform (CIP), which allows for greater and increased collaboration between the different members of the research consortium. CIP provides two-way interaction using API capabilities that brings together interconnected data repositories, project and task management tools for expected deliverables and datasets, and a collaborative project workspace. CIP can integrate version control systems as well as project management tools within the collaborative workspace, which allows all participating users to see and manipulate the data simultaneously for centralized research collaboration.

Data within the CIP framework is stored in the urban data observatory (UDO), a PostgreSQL server. The UDO is capable of interactive analysis of data and displaying it in a refined and apropriate format. When running data queries or simulations using CIP, the data is drawn directly from the UDO server.

The data and its results are able to be displayed to all users in a collaborative workspace simulatenously, and all users are capable of performing operations on the UDO server. All data from the UDO is stored in a separate data warehouse, which allows large amounts of raw metadata to be stored in data lakes. Data from the warehouse cannot be directly analyzed for research purposes, which can only be done from the datafiles located in the UDO server.

Finally, CIP has the capability to integrate version control systems as well as project management tools within the collaborative workspace, which would allow all participating users to see and manipulate the data simultaneously, enabling efficient and centralized collaboration on research projects.