Kuilin Zhang

A Data-driven Optimization-based Control Model for Cooperative Adaptive Cruise Control Under Uncertainty

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A Data-driven Optimization-based Control Model for Cooperative Adaptive Cruise Control Under Uncertainty Motivated by connected and automated vehicle (CAV) technologies, this talk presented a data-driven optimization-based Model Predictive Control (MPC) model for the cooperative adaptive cruise control (CACC) of a string of CAVs under traffic uncertainty. The proposed data-driven MPC modeling framework aimed to improve…

Di Yang wins Northeastern District Student Paper Award!

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Di Yang wins Northeastern District Student Paper Award! C2SMART is proud to announce that student researcher Di Yang has been selected for the Institute of Transportation Engineers Northeastern District Daniel B. Fambro Student Paper Award in recognition of his paper, “A novel representation and discrimination of traffic risk of signalized intersections: An exploratory study using functional data analysis”. Di…

All the volunteers for Transportation Camp pose in orange safety vests for the camera

NYU ITE Student Chapter Wins Northeastern District Award

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NYU ITE Student Chapter Wins Top Prizes The Institute of Transportation Engineers (ITE) is an international educational and scientific association of transportation professionals who are responsible for meeting mobility and safety needs. NYU’s ITE-ITS student chapter, supported by C2SMART, has been awarded the ITE Northeastern District Student Chapter Award during the District’s virtual conference on May…

Di Yang

Di Yang

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Di Yang Student Researcher Contact Di Yang is a Ph.D. student at the Department of Civil and Urban Engineering at New York University. His research mainly focuses on the development and application of data-driven approaches to understand and improve traffic safety. Before joining NYU, he obtained his Bachelor’s degree at Beijing Jiaotong University. His research…

AI-based Navigation for Accessible Cities: Challenges and Opportunities

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AI-based Navigation for Accessible Cities: Challenges and Opportunities Visual place recognition (VPR) is an AI-based technology that is critical in not only localization and mapping for autonomous driving vehicles, but also assistive navigation for the visually impaired population, both of which are important topics for urban transportation systems. In this talk, after a quick overview…

Thales Couto Braguim

Thales Couto Braguim

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Thales Couto Braguim Student Researcher Contact Thales Couto Braguim is a PhD candidate at Rutgers University under the supervision of Prof. Hani Nassif. His research is focused on the assessment of the fatigue behavior of steel bridges governed by welded joints and the calibration of the advanced weigh-in-motion (WIM) sensors. He has been working with…

Ohay Angah

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Ohay Angah Student Researcher Contact Ohay Angah holds a Hydraulic Engineering Master’s degree in Civil Engineering from the National Taiwan University in 2015 and a Transportation Engineering Master’s degree in Civil and Environmental Engineering (CEE) at the University of Washington (UW) in 2021. She worked as an engineer in Department of Hazard Mitigation at Sinotech,…

Qiangqiang Guo

Qiangqiang Guo

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Qiangqiang Guo Student Researcher Contact Qiangqiang Guo received his B.S. (2014) and M.S. (2017) degrees in Automotive Engineering from Tsinghua University, and he is now pursuing his PhD degree at the Department of Civil and Environmental Engineering at University of Washington. His research interests include dynamic transportation network modeling/control and connected/automated vehicles. Current C2SMART Projects:

Yiran Zhang

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Yiran Zhang Student Researcher Contact Yiran Zhang received her B.S. (2016) in Railway Engineering from Southwest Jiaotong University and M.S. (2018) in Civil Environmental Engineering (CEE) from the University of Washington (UW). She is now pursuing her PhD degree in CEE at UW. Her research interests focus on transportation data bias, traffic network simulation and…