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Qing Cai Ph.D.

Assistant Professor (research track)

Civil, Environmental & Construction Engineering Department

University of Central Florida

12800 Pegasus Drive, Room 301B, Orlando, Florida 32816, USA

CV

Email

Google Scholar, ResearchGate, LinkedIn,

Qing Cai

I am a research assistant professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. I received my PhD degree from the University of Central Florida advised by Prof. Mohamed Abdel-Aty, and my Master degree and Bachelor degree from Tongji University

My research focuses on the applications of emerging technologies and methodologies for intelligent transportation system in smart cities, developing machine learning and modeling solutions to understand the effects of built-in environment on transportation safety and efficiency, and innovating software/hardware and simulation development to advance transportation systems for connected & automated vehicles (CAVs). I rely on the real-world data and simulation data to better understand how to adapt our current transportation system to the future. I have published over 40 journal papers and worked on over 10 research projects. 

Recent Activities
  • April 2021, we received the funded project "Evaluating the effects of cooperative perception on avoiding pedestrian crashes for connected and automated vehicles" from Safer-Sim to explore CAV technology on cooperative perception by using co-simulations. 

  • March 2021, our paper "Factor contributing to operating speeds on arterial roads by context classification" is accepted by ASCE's Journal of Transportation Engineering, Part A: Systems.

  • January 2021, we received the funded project from FDOT as a part of the I-4 FRAME project which is about Integrated Corridor Management (ICM) with CAV technologies.

  • January 2021, our paper "Development of decision support system for integrated active traffic management systems considering travel time reliability" receives the Best Paper Award for RTSMO ACP10 Committee at the Transportation Research Board Annual Meeting in 2021.

  • December 2020, our paper "Predicting cycle-level traffic movements at signalized intersection using machine learning models" is accepted by Transportation Research Part C: Emerging Technology.

  • December 2020, our paper "Crash data augmentation using variational autoencoder" is accepted by Accident Analysis and Prevention

  • November 2020, our paper "Cycle-level real-time turning movement estimation at signalized intersection" is accepted by Journal of Intelligent Transportation System: Technology, Planning, and Operation.

  • October 2020, our paper "Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network" is accepted by Accident Analysis and Prevention

  • August 2020, our paper "A deep learning approach to detect real-time vehicle maneuvers based on smartphone sensors" is accepted by IEEE Transactions on Intelligent Transportation Systems.

  • August 2020, our paper "Automated safety diagnosis based on unmanned aerial vehicle videos and deep learning algorithm" is accepted by Transportation Research Record: Journal of Transportation Research Board.

  • June 2020, our paper "Real-Time crash prediction on expressways using deep generative models" is accepted by Transportation Research Part C: Emerging Technology.

  • May 2020, our paper "Modeling real-time cycle-level crash risk at signalized intersections based on high-resolution event-based data" is accepted by IEEE Transaction of Intelligent Transportation Systems.

Selected Publication
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Applying machine learning and Google street view to explore effects of drivers' visual environment on traffic safety

Qing Cai, Mohamed Abdel-Aty, Ou Zheng, Yina Wu

under review. [PDF]

STAY TUNED!
TRC-MOVEMENT_PREDICTION_THROUGH.jpg

Predicting cycle-level traffic movements at signalized intersections using machine learning models

Nada Mahmoud, Mohamed Abdel-Aty, Qing Cai, Jinghui Yuan

Transportation Research Part C: Emerging Technologies, 2021. [link]

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Crash data augmentation using variational autoencoder

Zubayer Islam, Mohamed Abdel-Aty, Qing Cai, Jinghui Yuan

Accident Analysis & Prevention, 2021. [link]

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Real-time crash prediction on expressways using deep generative models

Qing Cai, Mohamed Abdel-Aty, Jinghui Yuan, Jaeyoung Lee, Yina Wu

Transportation Research Part C: Emerging Technologies, 2020. [link]

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A deep learning approach to detect real-time vehicle maneuvers based on smartphone sensors

Pei Li, Mohamed Abdel-Aty, Qing Cai, Zubayer Islam

IEEE Transactions on Intelligent Transportation Systems, 2020. [link]

 
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Development of decision support system for integrated active traffic management systems considering travel time reliability

Whoibin Chung, Mohamed Abdel-Aty, Ho-Chul Park, Qing Cai, Mdhasibur Rahman, Yaobang Gong, Raj Ponnaluri

Transportation Research Record: Journal of Transportation Research Board, 2020. [link]

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Automated safety diagnosis based on unmanned aerial vehicle video and deep learning algorithm

Yina Wu, Mohamed Abdel-Aty, Ou Zheng, Qing Cai, Shile Zhang

Transportation Research Record: Journal of Transportation Research Board, 2020. [link]

Applying a deep learning approach for transportation safety planning by using high-resolution transportation and land use data

Qing Cai, Mohamed Abdel-Aty, Yangyang Sun, Jaeyoung Lee, Jinghui Yuan

Transportation Research Part A: Policy and Practice, 2019. [link]

Decentralized network level adaptive signal control by multi-agent deep reinforcement learning

Yaobang Gong, Mohamed Abdel-Aty, Qing Cai, Md Sharikur Rahman

Transportation Research Interdisciplinary Perspectives, 2019. [link]

Safety impact of weaving distance on freeway facilities with managed lanes using both microscopic traffic and driving simulations

Qing Cai, Moatz Saad, Mohamed Abdel-Aty, Jinghui Yuan, Jaeyoung Lee

Transportation Research Record: Journal of Transportation Research Board, 2018. [link]

Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling

Qing Cai, Mohamed Abdel-Aty, Jaeyoung Lee, Ling Wang, Xuesong Wang

Analytic Methods in Accident Research, 2018. [link]

Teaching Activities
  • 2019, Lecture, TTE 5531, Active Mobility and Technologies: Synergy and Challenges

  • 2017, Lecture, TTE 6938, Geographic Information System (GIS) Application for Transportation

Professional Society Memberships & Activities

Guest Editor       

  • Journal of Advanced Transportation, Special Issue: Emerging Technologies in Traffic Safety Risk Evaluation, Prevention, and Control

  • Sustainability, Special Issue: Novel Approaches to Transportation Safety Planning in Sustainable Transportation

Member of Editorial Board

Committee Member