Modeling traffic flow interrupted by incidents von Baykal-Gürsoy, M., Xiao, W., Ozbay, K.

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Exteriorized versus in-situ repair of the uterine incision at cesarean delivery: a randomized controlled trial von Ozbay, K

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Use of real-world connected vehicle data in identifying high-risk locations based on a new surrogate safety measure von Xie, Kun, Yang, Di, Ozbay, Kaan, Yang, Hong

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Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random paramete... von Yang, Di, Xie, Kun, Ozbay, Kaan, Yang, Hong

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Dynamic Origin–Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter von Xiong, Xi, Ozbay, Kaan, Jin, Li, Feng, Chen

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Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors von Kurkcu, Abdullah, Ozbay, Kaan

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A multivariate spatial approach to model crash counts by injury severity von Xie, Kun, Ozbay, Kaan, Yang, Hong

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Mining automatically extracted vehicle trajectory data for proactive safety analytics von Xie, Kun, Ozbay, Kaan, Yang, Hong, Li, Chenge

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An RFID-based inventory management framework for emergency relief operations von Ozguven, Eren Erman, Ozbay, Kaan

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Proactive safety monitoring: A functional approach to detect safety-related anomalies using unmanned aerial vehicle video data von Yang, Di, Ozbay, Kaan, Xie, Kun, Yang, Hong, Zuo, Fan, Sha, Di

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Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle von Bian, Zilin, Zuo, Fan, Gao, Jingqin, Chen, Yanyan, Pavuluri Venkata, Sai Sarath Chandra, Duran Bernardes, Suzana, Ozbay, Kaan, Ban, Xuegang (Jeff), Wang, Jingxing

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Modeling of time-dependent safety performance using anonymized and aggregated smartphone-based dangerous driving event data von Yang, Di, Xie, Kun, Ozbay, Kaan, Yang, Hong, Budnick, Noah

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Methodological evolution and frontiers of identifying, modeling and preventing secondary crashes on highways von Yang, Hong, Wang, Zhenyu, Xie, Kun, Ozbay, Kaan, Imprialou, Marianna

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Using Big Data to Study Resilience of Taxi and Subway Trips for Hurricanes Sandy and Irene von Zhu, Yuan, Ozbay, Kaan, Xie, Kun, Yang, Hong

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Estimating Uncertainty of Work Zone Capacity using Neural Network Models von Bian, Zilin, Ozbay, Kaan

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A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City von He, Brian Yueshuai, Zhou, Jinkai, Ma, Ziyi, Wang, Ding, Sha, Di, Lee, Mina, Chow, Joseph Y.J., Ozbay, Kaan

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Use of Deep Learning to Predict Daily Usage of Bike Sharing Systems von Yang, Hong, Xie, Kun, Ozbay, Kaan, Ma, Yifang, Wang, Zhenyu

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Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population von He, Brian Y., Zhou, Jinkai, Ma, Ziyi, Chow, Joseph Y.J., Ozbay, Kaan

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Derivation and Validation of New Simulation-Based Surrogate Safety Measure von Ozbay, Kaan, Yang, Hong, Bartin, Bekir, Mudigonda, Sandeep

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Data-Driven Spatial Modeling for Quantifying Networkwide Resilience in the Aftermath of Hurricanes Irene and Sandy von Zhu, Yuan, Xie, Kun, Ozbay, Kaan, Zuo, Fan, Yang, Hong

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