Publications

This page provides an incomplete list of papers published for work performed at the STAR Lab. For a complete record, please go to Dr. Wang's Google Scholar.

2022

  1. S. Wang, Z. Pu, Q. Li, and Y. Wang (2022). “Estimating crowd density with edge intelligence based on lightweight convolutional neural networks,” Expert Systems with Applications, vol. 206, p. 117823, Nov. 2022, doi: 10.1016/j.eswa.2022.117823.
  2. M. -J. Tsai, Z. Cui, C. Liu, H. Yang, and Y. Wang. An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) , 2022, pp. 3237-3242, doi: 10.1109/ITSC55140.2022.9922113. [Link]
  3. S. Yin, Z. Cui, and Y. Wang. Reinforcement Learning for Curbside Space Management with Infrastructure Autonomy and Mixed Vehicle Connectivity. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) , 2022, pp. 3276-3282, doi: 10.1109/ITSC55140.2022.9922149. [Link]
  4. Meixin Zhu. "Behavior Modeling and Motion Planning for Autonomous Driving using Artificial Intelligence". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]
  5. Yifan Zhuang. "Efficient and Robust Machine Learning Methods for Challenging Traffic Video Sensing Applications". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]
  6. H. (Frank) Yang, R. Ke, Z. Cui, Wang, Y., and K. Murthy. “Toward a real‐time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning,” International Journal of Intelligent Systems, vol. 37, no. 8, pp. 4437–4470, Nov. 2021, doi: 10.1002/int.22725.
  7. Zhu, M., Du, S. S., Wang, X., Pu, Z., & Wang, Y. (2022). TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. arXiv preprint arXiv:2202.03183.

2021

  1. Z. Pu, Z. Cui, J. Tang, S. Wang, and Y. Wang. “Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology,” IEEE Internet of Things Journal ,vol. 9, no. 14, pp. 12413–12424, Jul. 2022, doi: 10.1109/jiot.2021.3136031.
  2. H. Yang, C. Liu, Y. Zhuang, W. Sun, K. Murthy, Z. Pu, and Y. Wang. “Truck Parking Pattern Aggregation and Availability Prediction by Deep Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 12778–12789, Aug. 2022, doi: 10.1109/tits.2021.3117290.
  3. M. -J. Tsai, H. -Y. Chen, Z. Cui, and Y. Wang. "Multivariate Long And Short Term LSTM-Based Network for Traffic Forecasting Under Interference: Experiments During COVID-19," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) , 2021, pp. 2169-2174, doi: 10.1109/ITSC48978.2021.9565118. [Link]
  4. Zhiyong Cui. "Deep Learning for Short-term Network-wide Road Traffic Forecasting". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]
  5. J. E. Ash, Y. Zou, D. Lord, and Y. Wang. “Comparison of confidence and prediction intervals for different mixed-Poisson regression models,” Journal of Transportation Safety & Security, vol. 13, no. 3, pp. 357–379, Aug. 2019, doi: 10.1080/19439962.2019.1638475.
  6. H. Yang, C. Liu, M. Zhu, X. Ban, and Y. Wang, “How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 2045–2055, Mar. 2022, doi: 10.1109/tits.2020.3031026.
  7. John E. Ash. "Understanding Freeway Crashes through Data-Driven Solutions". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]

2020

  1. Z. Pu, Z. Li, R. Ke, X. Hua, and Y. Wang, “Evaluating the Nonlinear Correlation between Vertical Curve Features and Crash Frequency on Highways Using Random Forests,” Journal of Transportation Engineering, Part A: Systems, vol. 146, no. 10, Oct. 2020, doi: 10.1061/jtepbs.0000410.
  2. Y. Zhuang, R. Ke, and Y. Wang, “Edge-Based Traffic Flow Data Collection Method Using Onboard Monocular Camera,” Journal of Transportation Engineering, Part A: Systems, vol. 146, no. 9, Sep. 2020, doi: 10.1061/jtepbs.0000416.
  3. Z. Cui, R. Ke, Z. Pu, and Y. Wang, “Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values,” Transportation Research Part C: Emerging Technologies, vol. 118, p. 102674, Sep. 2020, doi: 10.1016/j.trc.2020.102674.
  4. Ziyuan Pu. "Developing Wireless Sensing Methods and Technologies for Enhanced Transit Rider and Non-Motorized Traffic Data". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]
  5. Ruimin Ke. "Real-Time Video Analytics Empowered by Machine Learning and Edge Computing for Smart Transportation Applications". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]
  6. Z. Cui, L. Lin, Z. Pu, and Y. Wang, “Graph Markov network for traffic forecasting with missing data,” Transportation Research Part C: Emerging Technologies, vol. 117, p. 102671, Aug. 2020, doi: 10.1016/j.trc.2020.102671.
  7. M. Zhu, Y. Wang, Z. Pu, J. Hu, X. Wang, and R. Ke, “Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving,” Transportation Research Part C: Emerging Technologies, vol. 117, p. 102662, Aug. 2020, doi: 10.1016/j.trc.2020.102662.
  8. Cui, Z., Zhu, M., Wang, S., Wang, P., Zhou, Y., Cao, Q., Kopca, C., and Wang, Y., “Traffic performance score for measuring the impact of COVID-19 on urban mobility,” arXiv preprint arXiv:2007.00648.
  9. R. Ke, S. Feng, Z. Cui, and Y. Wang, “Advanced framework for microscopic and lane‐level macroscopic traffic parameters estimation from UAV video,” IET Intelligent Transport Systems, vol. 14, no. 7, pp. 724-734, Apr. 2020, doi: 10.1049/iet-its.2019.0463.
  10. Z. Cui, R. Ke, Z. Pu, X. Ma, and Y. Wang, “Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction,” Transportation Research Part C: Emerging Technologies, vol. 115, p. 102620, Jun. 2020, doi: 10.1016/j.trc.2020.102620.
  11. Z. Cui, K. Henrickson, S. A. Biancardo, Z. Pu, and Y. Wang, “Establishing Multisource Data-Integration Framework for Transportation Data Analytics,” Journal of Transportation Engineering, Part A: Systems, vol. 146, no. 5, May 2020, doi: 10.1061/jtepbs.0000331.
  12. R. Ke, Y. Zhuang, Z. Pu, and Y. Wang, “A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 8, pp. 4962–4974, Aug. 2021, doi: 10.1109/tits.2020.2984197.
  13. Z. Pu, Z. Cui, S. Wang, Q. Li, and Y. Wang, “Time‐aware gated recurrent unit networks for forecasting road surface friction using historical data with missing values,” IET Intelligent Transport Systems, vol. 14, no. 4, pp. 213–219, Mar. 2020, doi: 10.1049/iet-its.2019.0428.

2019

  1. Z. Cui, K. Henrickson, R. Ke, and Y. Wang, “Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 11, pp. 4883–4894, Nov. 2020, doi: 10.1109/tits.2019.2950416.
  2. Zhu, M., Hu, J., Pu, Z., Cui, Z., Yan, L., and Wang, Y., “Traffic sign detection and recognition for autonomous driving in virtual simulation environment,” arXiv preprint arXiv:1911.05626.
  3. X. Fu, H. Yang, C. Liu, J. Wang, and Y. Wang, “A hybrid neural network for large-scale expressway network OD prediction based on toll data,” PLOS ONE, vol. 14, no. 5, p. e0217241, May 2019, doi: 10.1371/journal.pone.0217241.
  4. Y. Zhuang, R. Ke, and Y. Wang, “Innovative method for traffic data imputation based on convolutional neural network,” IET Intelligent Transport Systems, vol. 13, no. 4, pp. 605–613, Nov. 2018, doi: 10.1049/iet-its.2018.5114.
  5. Wenbo Zhu. "A Connected Vehicle Based Coordinated Adaptive Navigation System". Department of Civil and Environmental Engineering, Doctor of Philosophy in Transportation Engineering. [Link]

2018

  1. H. Hinohara, and Y. Wang, “Analysis of Toll Lanes Access Violation Behavior: Example of Express Toll Lanes on I-405,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2672, no. 14, pp. 1–9, Jun. 2018, doi: 10.1177/0361198118782759.
  2. M. Zhu, X. Wang, and Y. Wang, “Human-like autonomous car-following model with deep reinforcement learning,” Transportation Research Part C: Emerging Technologies, vol. 97, pp. 348–368, Dec. 2018, doi: 10.1016/j.trc.2018.10.024.
  3. R. Ke, Z. Li, J. Tang, Z. Pan, and Y. Wang, “Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 1, pp. 54–64, Jan. 2019, doi: 10.1109/tits.2018.2797697.
  4. Y. Zou, X. Ye, K. Henrickson, J. Tang, and Y. Wang, “Jointly analyzing freeway traffic incident clearance and response time using a copula-based approach,” Transportation Research Part C: Emerging Technologies, vol. 86, pp. 171–182, Jan. 2018, doi: 10.1016/j.trc.2017.11.004.

2017

  1. W. Zhang, C. Kopca, J. Tang, D. Ma, and Y. Wang, “A Systematic Approach for Collision Risk Analysis based on AIS Data,” Journal of Navigation, vol. 70, no. 5, pp. 1117–1132, May 2017, doi: 10.1017/s0373463317000212.
  2. W. Zhang, Y. Qi, K. Henrickson, J. Tang, and Y. Wang, “Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method,” Transportmetrica A: Transport Science, vol. 13, no. 5, pp. 467–490, Mar. 2017, doi: 10.1080/23249935.2017.1294631.
  3. W. Zhang, Y. Qi, K. Henrickson, J. Tang, and Y. Wang, “Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method,” Transportmetrica A: Transport Science, vol. 13, no. 5, pp. 467–490, Mar. 2017, doi: 10.1080/23249935.2017.1294631.
  4. Z. Pu, Z. Li, J. Ash, W. Zhu, and Y. Wang, “Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change,” Transportation Research Part C: Emerging Technologies, vol. 77, pp. 67–79, Apr. 2017, doi: 10.1016/j.trc.2017.01.008.
  5. Z. Zeng, W. Zhu, R. Ke, J. Ash, Y. Wang, J. Xu, and X. Xu, “A generalized nonlinear model-based mixed multinomial logit approach for crash data analysis,” Accident Analysis & Prevention, vol. 99, pp. 51–65, Feb. 2017, doi: 10.1016/j.aap.2016.11.008.
  6. W. Zhu, Z. Li, J. Ash, Y. Wang, and X. Hua, “Capacity Modeling and Control Optimization for a Two-Lane Highway Lane-Closure Work Zone,” Journal of Transportation Engineering, Part A: Systems, vol. 143, no. 12, Dec. 2017, doi: 10.1061/jtepbs.0000078.

2016

    2015

    2014

    2013

    2012

    before 2011

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