Yao-Jan Wu

Journals/Publications

• An, C., Wu, Y., Xia, J., & Huang, W. (2017). Real-time queue length estimation using event-based advance detector data. Journal of Intelligent Transportation Systems, 1--14.
• An, C., Wu, Y., Xia, J., & Lu, Z. (2017). Investigating Impacts of Communication Loss on Signal Performance with Use of Event-Based Data. Transportation Research Record: Journal of the Transportation Research Board, 38--49.
• Ma, X., Liu, C., Wen, H., Wang, Y., & Wu, Y. (2017). Understanding commuting patterns using transit smart card data. Journal of Transport Geography, 58, 135--145.
• Ou, J., Xia, J., Wu, Y., & Rao, W. (2017). Short-Term Traffic Flow Forecasting for Urban Roads Using Data-Driven Feature Selection Strategy and Bias-Corrected Random Forests. Transportation Research Record: Journal of the Transportation Research Board, 157--167.
• Yang, S., & Wu, Y. (2017). Travel mode identification using bluetooth technology. Journal of Intelligent Transportation Systems, 1--15.
• Yang, S., An, C., Wu, Y., & Xia, J. (2017). Origin--Destination-Based Travel Time Reliability. Transportation Research Record: Journal of the Transportation Research Board, 139--159.
• Yang, S., An, C., Wu, Y., & Xia, J. (2017). Taxicab Availability: Empirical Study of Kunshan, China. Transportation Research Record: Journal of the Transportation Research Board, 41--57.
• Chen, Y., Yang, S., Hu, M., & Wu, Y. (2016). A reliability-based transit trip planning model under transit network uncertainty. Public Transport, 8(3), 477--496.
• Wu, Y., Chen, F., Lu, C., & Yang, S. (2016). Urban traffic flow prediction using a spatio-temporal random effects model. Journal of Intelligent Transportation Systems, 20(3), 282--293.
• Yang, S., & Wu, Y. (2016). Mixture Models for Fitting Freeway Travel Time Distributions and Measuring Travel Time Reliability. Transportation Research Record: Journal of the Transportation Research Board, 95--106.
• Yang, S., Wu, Y., & Woolschlager, J. (2016). Integrated Modeling Framework for Highway Traffic Pollution Estimation and Dispersion.. American Journal of Environmental Sciences, 12(3), 140-151. doi:10.3844/ajessp.2016.140.151
• Yang, S., Wu, Y., Yin, Z., & Feng, Y. (2016). Estimating Freeway Travel Times Using the General Motors Model. Transportation Research Record: Journal of the Transportation Research Board, 83--94.
• Lu, Z., Rao, W., Wu, Y., Guo, L., & Xia, J. (2015). A Kalman filter approach to dynamic OD flow estimation for urban road networks using multi-sensor data. Journal of Advanced Transportation, 49, 210--227.
• Wu, Y., Chen, F., Lu, C., & Yang, S. (2015). Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model. Journal of Intelligent Transportation Systems, 1--12.
• Yang, S., Wu, Y., Marion, B., & Moses, I. E. (2015). Identification of transit farebox data errors: impacts on transit planning. Public Transport, 7, 457--473.

Proceedings Publications

• 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.
• Yang, S., An, C., Wu, Y., & Xia, J. (2017, January). Region-Wide Travel Time Reliability Estimation Using Robust Statistics. In 96th Annual Meeting of the Transportation Research Board.
• Yang, S., An, C., Wu, Y., & Xia, J. (2017, January). Taxicab: Empirical Study of Kunshan. In 96th Annual Meeting of the Transportation Research Board.
• Ariannezhad, A., Wu, Y., Chiu, Y., & Sun, A. (2016, Jan 2016). Incorporating Mode Choice into Safety Analysis in Transportation Analysis Zones. In 95th Annual Meeting of the Transportation Research Board.
• Chen, M., Yang, S., & Wu, Y. (2016, Jan 2016). A Machine Learning Approach to Decomposing Arterial Travel Time Using a Hidden Markov Model with Genetic Algorithm. In 95th Annual Meeting of the Transportation Research Board.
• Chen, M., Yang, S., & Wu, Y. (2016, Jan 2016). An Innovative Approach to Improving Bluetooth-Based Arterial Travel Time Data: Mitigating Missing Data. In 95th Annual Meeting of the Transportation Research Board.
• Wu, Y. (2016, Jan 2016). Effects of Adverse Weather in Different Light Conditions on Crash Severity During Arizona’s Monsoon Season. In 95th Annual Meeting of the Transportation Research Board.
• Yang, S., & Wu, Y. (2016, Jan 2016). Probability Distribution Selection for Measuring Freeway Travel Time Reliability. In 95th Annual Meeting of the Transportation Research Board.
• Yang, S., Wu, Y., & Ma, X. (2016, Jan 2016). A Generalized Transit Reliability Measure Using Mixture Models. In 95th Annual Meeting of the Transportation Research Board.

Others

• 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.
• Wang, Y., Malinovskiy, Y., Wu, Y., & Northwest, T. (2008). Occlusion robust and environment insensitive algorithm for vehicle detection and tracking using surveillance video cameras.