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Publications & Awards: Welcome

Wu, Y.*, Abdel-Aty, M., Cai, Q., Zheng, O., Zhang, S., 2020. Automated safety diagnosis based on unmanned aerial vehicle videos and deep learning algorithm. Transportation Research Record: Journal of Transportation Research Board

Yue, L., Abdel-Aty, M., Wu, Y., and Yuan J., 2020. An Augmentation Function for Active Pedestrian Safety System Based on Crash Risk Evaluation, Transportation Research Record: Journal of Transportation Research Board

Cai, Q., Abdel-Aty, M., Yuan, J., Lee, J., & Wu, Y. 2020. Real-time crash prediction on expressways using deep generative models. Transportation Research Part C: Emerging Technologies, 117, 102697.

Abdel-Aty, M., Wu, Y.*, Saad, M., & Rahman, M. S. 2020. Safety and operational impact of connected vehicles’ lane configuration on freeway facilities with managed lanes. Accident Analysis & Prevention, 144, 105616.

Xing, L., He, J., Li, Y., Wu, Y., Yuan, J., Gu, X., 2020. Comparison of different models for evaluating vehicle collision risks at upstream diverging area of toll plaza, Accident Analysis & Prevention, 135, 105343.

Wu, Y., Abdel-Aty, M., Wang, L., & Rahman, M.  2019. Combined connected vehicles and variable speed limit strategies to reduce rear-end crash risk under fog conditions. Journal of Intelligent Transportation Systems, 1-20

Wu, Y., Abdel-Aty, M., Zheng, O., Cai, Q., Yue, L. 2019. Developing a crash warning system for the bike lane area at intersections with connected vehicles technology. Transportation Research Record: Journal of Transportation Research Board, 2673, pp.47-58.

Yue, L., Abdel-Aty, M., Wu, Y., Farid, A., 2019. The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption and Usage. IEEE Transactions on Intelligent Transportation Systems

Wu, Y., Abdel-Aty, M. and Lee, J., 2018. Crash risk analysis during fog conditions using real-time traffic data. Accident Analysis & Prevention, 114, pp.4-11. （highly cited research)

Wu, Y., Abdel-Aty, M., Park, J. and Zhu, J., 2018. Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions. Transportation Research Part C: Emerging Technologies, 95, pp.481-492.

Park, J., Abdel-Aty, M., Wu, Y. and Mattei, I., 2018. Enhancing In-Vehicle Driving Assistance Information under Connected Vehicle Environment. IEEE Transactions on Intelligent Transportation Systems.

Wu, Y., Abdel-Aty, M., Cai, Q., Lee, J. and Park, J., 2018. Developing an algorithm to assess the rearend collision risk under fog conditions using real-time data. Transportation Research Part C: Emerging Technologies, 87, pp.11-25.

Wu, Y., Abdel-Aty, M., Park, J. and Selby, R. 2018. Effects of real-time warning systems on driving under fog conditions using an empirically supported speed choice modeling framework. Transportation Research Part C: Emerging Technologies, 86, pp.97-110.

Wu, Y., Abdel-Aty, M., Ding, Y., Jia, B., Shi, Q. and Yan, X., 2018. Comparison of proposed countermeasures for dilemma zone at signalized intersections based on cellular automata simulations. Accident Analysis & Prevention, 116, pp.69-78

Yue, L., Abdel-Aty, M., Wu, Y. and Wang, L., 2018. Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems. Accident Analysis & Prevention, 117, pp.55-64.

Publications & Awards: List

AWARDS

PRINCE MICHAEL INTERNATIONAL ROAD SAFETY AWARDS

Team award (2019)

USDOT VISUALIZATION CHALLENGE

Team award (2019)

AMERICAN PUBLIC HEALTH ASSOCIATION

APHA Scholarship (2017)

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