Publications

Journals

2024

Xue, J., Ka, E., Feng, Y., and Ukkusuri, S.V. Network Macroscopic Fundamental Diagram-Informed Graph Learning for Traffic State Imputation. Transportation Research Part B: Methodological (In: 25^th ISTTT Conference) (Accepted)

Chen, H., Bandaru V.K., Wang, Y., Romero, M.A., Tarko A., and Feng, Y. 2024. A Cooperative Perception System for Aiding CAVs Navigation and Improving Safety. Transportation Research Record.

Tian, C., Chen, Y., Zhang, J., and Feng, Y. 2024. Integrating Domain Knowledge with Deep Learning Model for Automated Worker Activity Classification. Journal of Information Technology in Construction. 29(13), 264-280

Dong, N., Chen, S., Wu, Y., Feng, Y., and Liu X. 2024. An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems: A highway merging case study. Transportation Research Part C: Emerging Technologies. 161, 104554

Wang, Y., and Feng, Y. 2024. IDM-Follower: A Model-Informed Deep Learning Method for Car-Following Trajectory Prediction. IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3367654.

Zhang, C., and Feng, Y. 2024. Vehicle trajectory reconstruction for freeway traffic considering lane changing behaviors. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. DOI: 10.1080/15472450.2024.2307031

Luo, L., Liu, Y., Feng, Y., Liu, H.X., and Ge, Y. 2024. Stabilizing mixed traffic flow by autonomous vehicles: stability analysis and implementation considerations. Transportation Research Part C: Emerging Technologies. 158, 104449

Ying, J., and Feng, Y., 2024. Infrastructure-Assisted Cooperative Driving and Intersection Management in Mixed Traffic Conditions. Transportation Research Part C: Emerging Technologies. 158, 104443

2023

Abdo, A., Chen, H., Zhao X., Wu, G., and Feng, Y., 2023. Cybersecurity on Connected and Automated Transportation Systems: A Survey. IEEE Transactions on Intelligent Vehicles. doi: 10.1109/TIV.2023.3326736

Yang Z., Ying J., Shen, J., Feng, Y. Chen, Q.A., Mao, Z.M., and Liu, H.X. 2023. Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning from Demonstration. IEEE Transactions on Intelligent Transportation Systems Vol. 24, No. 9, pp. 9462-9475.

Fei, X., Wang X.. Yu, X., Feng Y., Liu, H.X., Shen, S., and Yin, Y. 2023. Traffic Signal Control under Stochastic Traffic Demand and Vehicle Turning via Decentralized Decomposition Approaches. European Journal of Operational Research 310(2), 712-736..

Ren, R., Li, H., Han, T., Tian, C., Zhang, C., Zhang J., Proctor. R.W., Chen Y., and Feng Y. 2023. Vehicle Crash Simulations for Safety: Introduction of Connected and Automated Vehicles on the Roadways. Accident Analysis and Prevention, 186, 107021.

Feng, Y., Chen, Y., Zhang, J., Tian, C., Ren, R., and Proctor, R. 2023. Human-Centered Design of Next Generation Transportation Infrastructure with Connected and Automated Vehicles: A System-of-Systems Perspective. Theoretical Issues in Ergonomics Science (2023): 1-29.

2022

Wang X., Yin, Y., Feng Y., and Liu, H.X. 2022 Learning the max pressure control for urban traffic networks considering the phase switching loss. Transportation Research Part C: Emerging Technologies 140, p.103670.

Feng, Y., Huang, S., Wong, W., Chen, Q.A., Mao, Z.M., and Liu, H.X. 2022. On the Cybersecurity of Traffic Signal Control System with Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2022.3149449

Liu L., Feng, S., Feng, Y., Zhu, X., and Liu, H.X., 2022. Learning-based Stochastic Driving Model for Autonomous Vehicle Testing. Transportation Research Record. Vol. 2672 (1) 54-64.

Ying, J., and Feng, Y. 2022. A Full Vehicle Trajectory Planning Model for Urban Traffic Control Based on Imitation Learning. Transportation Research Record. (Accepted)

2021

Liu, L., Feng, S., Feng, Y., Zhu, X., and Liu, H.X., 2021. A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing. Transportation Research Record (Accepted).

Huang, S., Feng, Y.,*, Liu, H.X., 2021, A Data Driven Method for Falsified Vehicle Trajectories Identification by Anomaly Detection. Transportation Research Part C: Emerging Technologies. 128, p. 103196.

Feng, S., Yan, X., Sun, H., Feng, Y., and Liu, H.X., Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment. 2021. Nature Communications. 12(1), pp.1-14. (ESI Highly Cited Paper)

Yang, Z., Feng, Y.,* and Liu, H.X., A Cooperative Driving Framework for Urban Arterials in Mixed Traffic Conditions. 2021. Transportation Research Part C: Emerging Technologies. 124, p.102918.

2020

Feng, S., Feng, Y., Sun, H., Zhang, Y., and Liu, H.X., Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework. 2020. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2020.3023668

Feng, S., Feng, Y.,* Yan, X., Shen, S., Xu, S., and Liu, H.X., Safety Assessment of Highly Automated Driving Systems in Test Tracks: A New Framework. 2020. Accident Analysis and Prevention. V144, 105664

Amini, M.R., Feng, Y., Yang, Z., Kolmanovsky, I., Sun, J., Long-Term Vehicle Speed Prediction Via Traffic Data Mining for Improved Energy Efficiency of Connected Electric Vehicles. 2020. Transportation Research Record. . 2674 (11) 17–29

Feng, S., Feng, Y., Sun, H., Bao, S., Zhang, Y., and Liu, H.X., Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies. IEEE Transactions on Intelligent Transportation Systems. 2020. doi: 10.1109/TITS.2020.2988309.

Feng, S., Feng, Y., Yu, C., Zhang, Y., and Liu, H.X., Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology. 2020. IEEE Transactions on Intelligent Transportation Systems. 2020. doi: 10.1109/TITS.2020.2988309.

Wang, X., Shen, S., Bezzina D., Sayer, J.R., Liu, H.X., and Feng, Y.* A Data Infrastructure for Connected Vehicle Applications. 2020. Transportation Research Record. Vol. 2674 (5) 85–96

2019

Yu, C., Feng, Y.*, Liu, H.X., Ma W., and Yang X., Corridor Level Cooperative Trajectory Optimization with Connected and Automated Vehicles. 2019. Transportation Research Part C: Emerging Technologies. V105, 405-421.

Ou, J., Yang, S., Feng, Y., and Wang Y., 2019. Freeway Travel Time Estimation Based on the General Motors Model: A Genetic Algorithm Calibration Framework. IET Intelligent Transport Systems. Vol. 13, Issue: 7, 1154-1163.

Yang, Z., Feng, Y. *, Gong, X., Zhao, D., and Sun, J., 2019. Eco-trajectory Planning with Consideration of Queue Along Congested Corridor for Hybrid Electric Vehicles. Transportation Research Record. Vol. 2673(9) 277-286.

2018

Yu, C., Feng, Y., Liu, H.X., Ma W., and Yang X., 2018. Lane-based integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections. Transportation Research Part B: Methodological. V112, 89-112. (ESI Highly Cited Paper)

Feng, Y., Yu, C., Liu, H.X., 2018. Spatiotemporal Intersection Control in a Connected and Automated Vehicle Environment. Transportation Research Part C: Emerging Technologies. V89, 364-383.

Feng, Y. *, Zheng J., and Liu, H.X.. 2018. A Real-time Detector-free Adaptive Signal Control with Low Penetration of Connected Vehicles. Transportation Research Record. Vol. 2672(18) 35-44.

Li, B., Zhang, Y., Feng, Y., Zhang Y., Ge, Y., and Shao Z.. 2018. A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and Automated Vehicles. IEEE Transactions on Intelligent Vehicles. Vol. 3, Issue: 3, pp. 340-350

Feng, Y. *, Huang, S., Chen, Q.A., Liu, H.X., and Mao, Z.M.. 2018. Vulnerability of Traffic Control System Under Cyber-Attacks Using Falsified Data. Transportation Research Record. Vol. 2672(1) 1-11.

2017

Beak, B., Head, K.L., Feng, Y.. Adaptive Coordination Based on Connected Vehicle Technology, 2017. Transportation Research Record. Vol. 2619, pp. 1-12.

2016

Yang, S., Wu, Y-J., Yin, Z., Feng, Y., 2016. Estimating Freeway Travel Times Using General Motors Model. Transportation Research Record. Vol. 2594, pp. 83-94.

Feng, Y. *, Zamanipour, M., Head, K.L., Khoshmagham, S., 2016. Connected Vehicle Based Adaptive Signal Control and Applications. Transportation Research Record. Vol. 2558, pp. 11-19.

Zamanipour, M., Head, K.L., Feng, Y., Khoshmagham, S., 2016 Efficient Priority Control Model for Multi-Modal Traffic Signal. Transportation Research Record. Vol. 2557, pp. 86-99

Khoshmagham, S., Head, K.L., Feng, Y., Zamanipour, M., 2016. Multi-Modal Data Analytics Comparative Visualization Tool: A Case Study of Pedestrian Crossing Design. Transportation Research Record. Vol. 2557, pp. 44-54

2015

Feng, Y. *, Head, K.L., Khoshmagham, S.., Zamanipour, M. 2015. A Real-time Adaptive Signal Control in a Connected Vehicle Environment. Transportation Research Part C: Emerging Technologies. V55, 460-473. (ESI Highly Cited Paper)

2014

Feng, Y. *, Head, K.L., Ma, W., 2014. Estimating Vehicles in The Dilemma Zone and Application to Fixed-time Coordinated Signal Optimization. Transportation Research Record, Volume 2439, pp. 62-70.

Feng, Y. *, Hourdos, J., Davis, G.A., 2014. Probe vehicle based real-time trafﬁc monitoring on urban roadways. Transportation Research Part C: Emerging Technologies. V40, 160-178.

Ma, W., Head, K.L., Feng, Y., 2014. Integrated Optimization of Transit Priority Operation at Isolated Intersections: A Person-Capacity-Based Approach. Transportation Research Part C: Emerging Technologies. V40, 49–62.

Xie, X.F., Feng, Y., Smith, S.F., and Head K.L.. 2014. Uniﬁed Route Choice Framework – Specification and Application to Urban Traffic Control. Transportation Research Record. Volume 2466, 105-113.

Security Conferences in Computer Science

Ying J., Feng Y., Chen Q.A., and Mao Z.M., 2024. WIP: Modeling and Detecting Falsified Vehicle Trajectories Under Data Spoofing Attacks. ISOC Symposium on Vehicle Security and Privacy (VehicleSec 2024), San Diego, CA.

Ying J., Feng Y., Chen Q.A., and Mao Z.M., GPS Spoofing Attack Detection on Intersection Movement Assist using One-Class Classification. ISOC Symposium on Vehicle Security and Privacy (VehicleSec 2023).

Huang, S., Feng Y.,* Wong, W., Chen, Q.A., Mao, Z.M., and Liu, H.X., Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control Systems. 2021. Third International Workshop on Automotive and Autonomous Vehicle Security (AutoSec), NDSS 2021 (Best Paper Award).

Hu, S., Chen, Q.A., Sun, J., Feng, Y., Mao, Z.M., and Liu, H.X.. Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols. USENIX Security ’21.

Hu, S., Chen, Q.A., Joung, J., Clrlak, C., Feng, Y., Mao, Z.M., and Liu, H.X.. CVShield: Guarding Sensor Data in Connected Vehicle with Trusted Execution Environment. 2020. Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security.

Chen, Q., Yin, Y., Feng, Y., Mao, Z.M., and Liu H.X.. Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control. Network and Distributed System Security Symposium (NDSS), 2018.