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

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

Exploring AI-based Video Segmentation and Saliency Computation to Optimize Imagery-acquisition From Moving Vehicles

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Exploring AI-based Video Segmentation and Saliency Computation to Optimize Imagery-acquisition From Moving Vehicles Overview Mobile sensing has offered efficient, cost-effective data collection procedures that opened new research frontiers, specifically in urban sensing and transportation. In the past, due to highly costly and time-consuming data collection procedures, a limited number of urban indicators were measured and…

Collaborative Driving, Ramp Metering and Mean-field Controls

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Collaborative Driving, Ramp Metering and Mean-field Controls Overview ADAS and autonomous vehicles allow new control paradigms in traffic management. As the time horizon for driverless cars technology shifted forward in the future, collaborative driving and communication open new possibilities in the next 5-10y to realize control policies aimed at increasing safety, reducing congestion, and dissipate…

C2SMART COVID-19 Dashboard

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C2SMART COVID-19 Data Dashboard Welcome to the C2SMART COVID-19 Data Dashboard! This interactive data dashboard consolidates public data sources to track the mobility and sociability impact of the pandemic on transportation systems as it unfolds. This platform will update regularly and continue to evolve with the addition of new data, impact metrics, and visualizations. Updates:…

Hani Nassif

Adaptation of Weigh-In-Motion (WIM) Standards for Autonomous Enforcement on the BQE Smart Urban Roadway Testbed

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Adaptation of Weigh-In-Motion (WIM) Standards for Autonomous Enforcement on the BQE Smart Urban Roadway Testbed This webinar presents the latest research progress on the C2SMART Urban Roadway Testbed. C2SMART/RIME team has been collaborating with NYCDOT and Kistler Instrument Corporation (KIC) to establish a new smart roadway testbed along the Brooklyn-Queens Expressway (BQE) corridor. The BQE…

C2SMART students and postdocs at TRB 2019

Join Our Team!

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Join Our Team! . Excited about transportation and smart cities? Join our team! C2SMART is hiring for the following positions: . Transportation Research Project Manager The Transportation Research Project Manager will serve as the main lead in managing and coordinating various research projects underway and forthcoming at the C2SMART Center. Learn More About Project Manager…

Yinhai Wang

Edge Computing for Safer and Smarter Transportation Applications

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Edge Computing for Safer and Smarter Transportation Applications Sensors are essential for the intelligence needed by smart cities, particularly smart transportation applications, and have been increasingly deployed over the past decade. Although these sensors are capable of collecting a substantial amount of data, the bandwidth and cost constraints of the communication network may not allow…

C2SMART Announces Student Entrepreneurial Grant Competition

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C2SMART Announces Student Entrepreneurial Grant Competition At its roots, engineering is about the invention, design, and development of new products that improve society. To foster this activity among our students, C2SMART is launching an entrepreneurship program in which grants to improve our transportation systems and mobility for all by way of entrepreneurial activity. Up to…

Bekir Bartin

Calibration and Development of Safety Performance Functions for New Jersey

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Calibration and Development of Safety Performance Functions for New Jersey The predictive models provided by the Highway Safety Manual (HSM) are based on safety performance functions (SPFs), which are statistical regression models based on observed crash data from similar facility types that estimate the predicted average crash frequency for the base conditions. To make the…