Yao-Jan Wu

Chapters

• Karimpour, A., & Wu, Y. (2021). Freeway to Arterial Interfaces. In International Encyclopedia of Transportation. International Encyclopedia of Transportation.
• Yang, S., & Wu, Y. (2019). Data-Driven Approaches for Estimating Travel Time Reliability. In Data-Driven Solutions to Transportation Problems(pp 81-110). NY, USA: Elsevier. doi:https://doi.org/10.1016/B978-0-12-817026-7.09987-2

Journals/Publications

• Karimpour, A., Anderson, J. C., Kothuri, S., & Wu, Y. (2022). Estimating pedestrian delay at signalized intersections using high-resolution event-based data: a finite mixture modeling method. Journal of Intelligent Transportation Systems, 26(5), 511--528.
• Li, X., Wu, Y., & Khani, A. (2022). Investigating a small-sized bike-sharing system’s impact on transit usage: a synthetic control analysis in Tucson, Arizona. Public Transport, 14(2), 441--458.
• Li, X., Xu, P., & Wu, Y. (2022). Pedestrian crossing volume estimation at signalized intersections using Bayesian additive regression trees. Journal of Intelligent Transportation Systems, 26(5), 557--571.
• Luo, X., Ma, X., Munden, M., Wu, Y., & Jiang, Y. (2022). A Multisource Data Approach for Estimating Vehicle Queue Length at Metered On-Ramps. Journal of Transportation Engineering, Part A: Systems, 148(2), 04021117.
• Xia, L., Li, X., Shaon, M., Wu, Y., & Jiang, X. (2022). Arterial Signal Offset Optimization Using Crowdsourced Speed Data. Transportation Research Record, 03611981221109177.
• Xu, P., Li, X., Wu, Y., & Noh, H. (2022). Network-level turning movement counts estimation using traffic controller event-based data. Journal of Intelligent Transportation Systems, 1--15.
• Zhang, W., Yan, C., Li, X., Fang, L., Wu, Y., & Li, J. (2022). Distributed Signal Control of Arterial Corridors Using Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems.
• Ariannezhad, A., Karimpour, A., Qin, X., Wu, Y., & Salmani, Y. (2021). Handling Imbalanced Data for Real-Time Crash Prediction: Application of Boosting and Sampling Techniques. Journal of Transportation Engineering, Part A: Systems, 147(3), 04020165.
• Karimpour, A., Kluger, R., & Wu, Y. (2021). Traffic sensor data-based assessment of speed feedback signs. Journal of Transportation Safety & Security, 13(12), 1302--1325.
• Karimpour, A., Kluger, R., Liu, C., & Wu, Y. (2021). Effects of speed feedback signs and law enforcement on driver speed. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 55--72.
• Luo, X., Cottam, A., Wu, Y., & Jiang, Y. (2021). Hybrid-Data Approach for Estimating Trip Purposes. Transportation Research Record, 2675(11), 545-553.
• Shaon, M., Li, X., Wu, Y., & Ramos, S. (2021). Quantitative Evaluation of Advanced Traffic Management Systems using Analytic Hierarchy Process. Transportation Research Record, 2675(12), 610-621.
• Ariannezhad, A., & Wu, Y. (2020). Large-Scale Loop Detector Troubleshooting Using Clustering and Association Rule Mining. Journal of Transportation Engineering, Part A: Systems, 146(7), 04020064.
• Ariannezhad, A., Karimpour, A., & Wu, Y. (2020). Incorporating Mode Choices into Safety Analysis at the Macroscopic Level. Journal of Transportation Engineering, Part A: Systems, 146(4), 04020022.
• Karimpour, A., Kluger, R., & Wu, Y. (2020). Traffic sensor data-based assessment of speed feedback signs. Journal of Transportation Safety & Security, 1--24.

Proceedings Publications

• Jin, F., Sengupta, A., Cao, S., & Wu, Y. (2020). MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring. In 2020 IEEE International Radar Conference (RADAR).
• Liang, Y., Zheng, X., Li, X., Cottam, A., & Wu, Y. (2020, Jan). Quantifying Mobility Impact of Pedestrian Hybrid Beacon Signal on Arterial Traffic: Case Study in Tucson, Arizona. In 99th Annual Meeting of the Transportation Research Board.
• Ma, X., Karimpour, A., & Wu, Y. (2020, January). Statistical Evaluation of Data Requirement for Ramp Metering Performance Assessment: A Case Study of SR-51, Arizona. In 99th Annual Meeting of the Transportation Research Board.
• Wu, Y., Karimpour, A., Kluger, R., & Liu, C. (2020, Jan). Does Periodic Law Enforcement Enhance the Effectiveness of Speed Feedback Sign? A Case Study in Pima County, Arizona. In 99th Annual Meeting of the Transportation Research Board.
• An, C., Kluger, R., Wu, Y., Guo, X., & Xia, J. (2018, Jan). An Integrated Data Approach for Constructing Arterial Shockwave Profiles. In Transportation Research Board 97th Annual Meeting.
• Ariannezhad, A., Wu, Y., & Goftar, V. N. (2018, Jan). Real-Time Crash Prediction Using Data Mining Techniques. In Transportation Research Board 97th Annual Meeting.
• Miao, Z., Wu, Y., Head, K. L., & Yang, S. (2018, Jan). A Functional Data Analysis Based Approach for Freeway Volume Data Imputation. In Transportation Research Board 97th Annual Meeting.
• Ou, J., Yang, S., Wu, Y., & Xia, J. (2018, Jan). Systematic Clustering Approach to Identifying and Characterizing Spatiotemporal Congestion on Freeway Corridors. In Transportation Research Board 97th Annual Meeting.
• An, C., Wu, Y., Xia, J., & Lu, Z. (2017, January). Investigating Impacts of Communication Loss on Signal Performance Using Event-Based Data. In 96th Annual Meeting of the Transportation Research Board.
• An, C., Wu, Y., Xia, J., Yang, S., & Qiu, F. (2017, January). Real-Time Queue Length Estimation using Event-Based Advance Detector Data. In 96th Annual Meeting of the Transportation Research Board.
• Ariannezhad, A., Wu, Y., Goftar, V., Riley, D., & Karimvand, R. (2017, January). Systematic Approach for Large-Scale Loop Detector Troubleshooting: Identifying Data Error Patterns. In 96th Annual Meeting of the Transportation Research Board.
• Liu, C., Ma, X., Wen, H., Wang, Y., & Wu, Y. (2017, January). Understanding Commuting Patterns Using Transit Smartcard Data. In 96th Annual Meeting of the Transportation Research Board.
• Luan, S., Ma, X., Wu, Y., Ding, C., & Wang, Y. (2017, January). Spatial Interpolation of Annual Average Daily Traffic Data Using Copula-Based Geostatistical Models. In 96th Annual Meeting of the Transportation Research Board.
• Ou, J., Xia, J., Wu, Y., & Rao, W. (2017, January). Urban Traffic Flow Forecasting Using Bias-corrected Random Forests. In 96th Annual Meeting of the Transportation Research Board.
• Yang, S., An, C., Wu, Y., & Xia, J. (2017, January). Origin-Destination Based Travel Time Reliability. In 96th Annual Meeting of the Transportation Research Board.

Poster Presentations

• Ariannezhad, A., & Wu, Y. (2019, Jan). Application of Clustering and Association Rule Mining in Large-Scale Loop Detector Troubleshooting. 98th Annual Meeting of the Transportation Research Board. Washington DC.
• Pan, M., Li, X., Kluger, R., & Wu, Y. (2019, Jan). Red-Light Violation Identification Using GPS Trajectories. 98th Annual Meeting of the Transportation Research Board.

Others

• Jin, F., Sengupta, A., Cao, S., & Wu, Y. (2019, Dec). MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring. IEEE International Radar Conference 2020. https://arxiv.org/abs/1911.06364
• Jiang, W., Li, H., Wu, Y., & Yin, Z. (2015, Jan). Vehicle Reidentification in Low-Resolution Videos for Travel Time Estimation. TRB Annual Meeting.
• Malinovskiy, Y., Wang, Y., & Wu, Y. (2013). Video-based vehicle detection and tracking using spatio-temporal maps.
• Wu, Y., Yang, S., & Abdoli, S. (2013). Freeway Travel Time Estimation Using Existing Fixed Traffic Sensors--Phase 1.
• Malinovskiy, Y., Lee, U., Wu, Y., & Wang, Y. (2011). Investigation of bluetooth-based travel time estimation error on a short corridor.
• Wang, Y., Malinovskiy, Y., Wu, Y., & Lee, U. K. (2011, Dec). Error modeling and analysis for travel time data obtained from Bluetooth MAC address matching. Department of Civil and Environmental Engineering, University of Washington.
• Briglia Jr, P. M., Fishkin, E., Hallenbeck, M. E., Wu, Y., & Trepanier, T. (2010). An Analysis of the Puget Sound In-Vehicle Traffic Map Demonstration.
• Malinovskiy, Y., Wu, Y., Wang, Y., & Lee, U. K. (2010). Field experiments on bluetooth-based travel time data collection.
• Wang, Y., Wu, Y., Ma, X., & Corey, J. (2010). Real-time travel time prediction on urban traffic network.
• Wu, Y. (2010). Traffic Sensor Data-Based Arterial Performance Measurement: Methodology and Online Implementation.
• Zhang, G., Wu, Y., & Wang, Y. (2010). Analyzing System Performance for Washington State Route 167 High-Occupancy Toll (HOT) Operations.
• Hwang, H., Lee, U., Baek, K., Wu, Y., & Wang, Y. (2009). Stereo Image Processing Algorithm for Preceding Vehicle Detection Using Lane-Related Information.
• Lao, Y., Wu, Y., Wang, Y., & Yang, X. (2009). Applicability of Signalized Single and Double Phase Midblock Crossings in Highly Populated Areas.
• Wang, Y., Corey, J., Lao, Y., & Wu, Y. (2009). Development of a statewide online system for traffic data quality control and sharing.
• Wu, Y., Hallenbeck, M. E., & Wang, Y. (2009). Interaction Between Arterial and Freeway Performance: Case Study.