STAR Lab

The UW STAR Lab has excellent publication records, and our research got around 1,600 citations in year 2019. We are eager to work with motivated students and researchers and are equally open to industry opportunities.

Journal Publications

Li, H., Li, M., Lin, X., He, F., & Wang, Y. (2020). A spatiotemporal approach for traffic data imputation with complicated missing patterns. Transportation Research Part C: Emerging Technologies, 119, 102730.

Pu, Z., Li, Z., Ke, R., Hua, X., & Wang, Y. (2020). Evaluating the nonlinear correlation between vertical curve features and crash frequency on highways using random forests. Journal of transportation engineering, Part A: Systems, 146(10), 04020115.

Yang, H., Wang, Z., Zou, Y., Wu, B., & Wang, Y. (2020). Modified Stackelberg Games Approach for Dynamic Signal Control and Route Choice Equilibrium on Mixed Networks. Transportation Research Record, 2674(9), 51-65.

Zhuang, Y., Ke, R., & Wang, Y. (2020). Edge-Based Traffic Flow Data Collection Method Using Onboard Monocular Camera. Journal of Transportation Engineering, Part A: Systems, 146(9), 04020096.

Wang, H., Zhu, M., Hong, W., Wang, C., Tao, G., & Wang, Y. (2020). Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy. IEEE Transactions on Intelligent Transportation Systems.

Ke, R., Cui, Z., Chen, Y., Zhu, M., & Wang, Y. (2020). IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. arXiv preprint arXiv:2008.00549.

Cui, Z., Lin, L., Pu, Z., & Wang, Y. (2020). Graph Markov network for traffic forecasting with missing data. Transportation Research Part C: Emerging Technologies, 117, 102671.

Zhu, M., Wang, Y., Pu, Z., Hu, J., Wang, X., & Ke, R. (2020). Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving. Transportation Research Part C: Emerging Technologies, 117, 102662.

Pu, Z., Zhu, M., Li, W., Cui, Z., Guo, X., & Wang, Y. (2020). Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. IEEE Internet of Things Journal.

Liu, D., Deng, Z., Yinhai, W., & Kaisar, E. I. (2020). Method for Identifying Truck Traffic Site Clustering Using Weigh-in-Motion (WIM) Data. IEEE Access, 8, 136750-136759.

Yang, H., Wang, Z., Zou, Y., Wu, B., & Wang, Y. (2020). Modified Stackelberg Games Approach for Dynamic Signal Control and Route Choice Equilibrium on Mixed Networks. Transportation Research Record, 0361198120926998.

Liu, D., Deng, Z., Zhang, W., Wang, Y., & Kaisar, E. I. (2020). Design of sustainable urban electronic grocery distribution network. Alexandria Engineering Journal.

Cui, Z., Zhu, M., Wang, S., Wang, P., Zhou, Y., Cao, Q., ... & Wang, Y. (2020). Traffic Performance Score for Measuring the Impact of COVID-19 on Urban Mobility. arXiv preprint arXiv:2007.00648.

Zhang, C., He, J., Wang, Y., Yan, X., Zhang, C., Chen, Y., ... & Zhou, B. (2020). A crash severity prediction method based on improved neural network and factor Analysis. Discrete Dynamics in Nature and Society, 2020.

Cui, Z., Ke, R., Pu, Z., Ma, X., & Wang, Y. (2020). Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction. Transportation Research Part C: Emerging Technologies, 115, 102620.

Cui, Z., Ke, R., Pu, Z., & Wang, Y. (2020). Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values. arXiv preprint arXiv:2005.11627.

Cui, Z., Henrickson, K., Biancardo, S. A., Pu, Z., & Wang, Y. (2020). Establishing Multisource Data-Integration Framework for Transportation Data Analytics. Journal of Transportation Engineering, Part A: Systems, 146(5), 04020024.

Ma, X., Zhong, H., Li, Y., Ma, J., Cui, Z., & Wang, Y. (2020). Forecasting transportation network speed using deep capsule networks with nested lstm models. IEEE Transactions on Intelligent Transportation Systems.

Ke, R., Li, W., Cui, Z., & Wang, Y. (2020). Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. Transportation Research Record, 2674(4), 459-470.

Zhu, M., Wang, Y., Pu, Z., Hu, J., Wang, X., & Ke, R. (2020). Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving. Transportation Research Part C: Emerging Technologies, 117, 102662.

Pu, Z., Li, Z., Jiang, Y., & Wang, Y. (2020). Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System. IEEE Transactions on Intelligent Transportation Systems.

Tang, J., Zhang, X., Yin, W., Zou, Y., & Wang, Y. (2020). Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory. Journal of Intelligent Transportation Systems, 1-16.

Chen, C., Wang, H., Roll, J., Nordback, K., & Wang, Y. (2020). Using bicycle app data to develop Safety Performance Functions (SPFs) for bicyclists at intersections: A generic framework. Transportation Research Part A: Policy and Practice, 132, 1034-1052.

Pu, Z., Cui, Z., Wang, S., Li, Q., & Wang, Y. (2020). Time-aware gated recurrent unit networks for forecasting road surface friction using historical data with missing values. IET Intelligent Transport Systems, 14(4), 213-219.

Zhang, W., Feng, Y., Lu, K., Song, Y., & Wang, Y. (2020). Speed Prediction Based on a Traffic Factor State Network Model. IEEE Transactions on Intelligent Transportation Systems.

Ke, R., Zhuang, Y., Pu, Z., & Wang, Y. (2020). A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices. arXiv preprint arXiv:2001.00269.

Cui, Z., Henrickson, K., Ke, R., & Wang, Y. (2019). Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting. IEEE Transactions on Intelligent Transportation Systems.

Pu, Z., Cui, Z., Zhu, M., & Wang, Y. (2019). Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. arXiv preprint arXiv:1911.01282.

Jiang, Y., Zhang, J., Wang, Y., & Wang, W. (2019). Capturing ownership behavior of autonomous vehicles in Japan based on a stated preference survey and a mixed logit model with repeated choices. International Journal of Sustainable Transportation, 13(10), 788-801.

Yan, H., He, F., Lin, X., Yu, J., Li, M., & Wang, Y. (2019). Network-level multiband signal coordination scheme based on vehicle trajectory data. Transportation Research Part C: Emerging Technologies, 107, 266-286.

Zhang, Z., Li, M., Lin, X., Wang, Y., & He, F. (2019). Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies. Transportation Research Part C: Emerging Technologies, 105, 297-322.

Fu, X., Yang, H., Liu, C., Wang, J., & Wang, Y. (2019). A hybrid neural network for large-scale expressway network OD prediction based on toll data. PloS one, 14(5), e0217241.

Qu, L., Li, W., Li, W., Ma, D., & Wang, Y. (2019). Daily long-term traffic flow forecasting based on a deep neural network. Expert Systems with Applications, 121, 304-312.

Tang, J., Wang, Y., Hao, W., Liu, F., Huang, H., & Wang, Y. (2019). A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering Spatio-Temporal Factors in Route Choice. IEEE Transactions on Intelligent Transportation Systems.

Li, H., He, F., Lin, X., Wang, Y., & Li, M. (2019). Travel time reliability measure based on predictability using the Lempel–Ziv algorithm. Transportation Research Part C: Emerging Technologies, 101, 161-180.

Zhou, Z., Zhang, K., Zhu, W., & Wang, Y. (2019). Modeling Lane-Choice Behavior to Optimize Pricing Strategy for HOT Lanes: A Support Vector Regression Approach. Journal of Transportation Engineering, Part A: Systems, 145(4), 04019004.

Hua, X., Wang, Y., Yu, W., Zhu, W., & Wang, W. (2019). Control Strategy Optimization for Two-Lane Highway Lane-Closure Work Zones. Sustainability, 11(17), 4567.

Wang, Z., Bai, Y., Zhu, R., Wang, Y., Wu, B., & Wang, Y. (2019). Impact Analysis of Extra Traffic Induced by Project Construction during Planned Special Events. Transportation Research Record, 0361198119840346.

Yang, X., Zou, Y., Wu, L., Zhong, X., Wang, Y., Ijaz, M., & Peng, Y. (2019). Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification. Journal of Advanced Transportation, 2019.

Liu, D., Deng, Z., Sun, Q., Wang, Y., & Wang, Y. (2019). Design and freight corridor-fleet size choice in collaborative intermodal transportation network considering economies of scale. Sustainability, 11(4), 990.

Zou, Y., Zhong, X., Tang, J., Ye, X., Wu, L., Ijaz, M., & Wang, Y. (2019). A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife‒Vehicle Crash Analysis. Sustainability, 11(2), 418.

Zhang, S., Liu, X., Tang, J., Cheng, S., & Wang, Y. (2019). Urban spatial structure and travel patterns: Analysis of workday and holiday travel using inhomogeneous Poisson point process models. Computers, Environment and Urban Systems, 73, 68-84.

Wang, Y., Peng, S., Xu, C., Assogba, K., Wang, H., Xu, M., & Wang, Y. (2018). Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing. Expert Systems with Applications, 113, 44-65.

Zhang, S., Liu, X., Tang, J., Cheng, S., Qi, Y., & Wang, Y. (2018). Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach. Physica A: Statistical Mechanics and its Applications, 512, 537-551.

Ma, D., Li, W., Song, X., Wang, Y., & Zhang, W. (2018). Time-of-day breakpoints optimisation through recursive time series partitioning. IET Intelligent Transport Systems, 13(4), 683-692.

Zhang, W., Guo, H., Zeng, Z., Qi, Y., & Wang, Y. (2018). Transportation Cloud Service Composition Based on Fuzzy Programming and Genetic Algorithm. Transportation Research Record, 2672(45), 64-75.

Zhu, M., Wang, X., & Wang, Y. (2018). Human-like autonomous car-following model with deep reinforcement learning. Transportation research part C: emerging technologies, 97, 348-368.

Liang, Y., Cui, Z., Tian, Y., Chen, H., & Wang, Y. (2018). A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation. Transportation Research Record, 2672(45), 87-105.

You, J., Shangguan, J., Zhuang, L., Li, N., & Wang, Y. (2018). An autonomous dynamic trust management system with uncertainty analysis. Knowledge-Based Systems, 161, 101-110.

Wang, Y., Zhang, J., Assogba, K., Liu, Y., Xu, M., & Wang, Y. (2018). Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup. Knowledge-Based Systems, 160, 296-310.

Song, X., Li, W., Ma, D., Wang, D., Qu, L., & Wang, Y. (2018). A Match-Then-Predict Method for Daily Traffic Flow Forecasting Based on Group Method of Data Handling. Computer-Aided Civil and Infrastructure Engineering, 33(11), 982-998.

Zhuang, Y., Ke, R., & Wang, Y. (2018). Innovative method for traffic data imputation based on convolutional neural network. IET Intelligent Transport Systems, 13(4), 605-613.

Zhang, W., Qi, Y., Zhou, Z., Biancardo, S. A., & Wang, Y. (2018). Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model. IET Intelligent Transport Systems, 12(10), 1312-1321.

Liang, Y., Wu, Z., Li, J., Li, F., & Wang, Y. (2018). Shockwave-Based Queue Length Estimation Method for Presignals for Bus Priority. Journal of Transportation Engineering, Part A: Systems, 144(9), 04018057.

Li, M., Chen, X., Lin, X., Xu, D., & Wang, Y. (2018). Connected vehicle-based red-light running prediction for adaptive signalized intersections. Journal of Intelligent Transportation Systems, 22(3), 229-243.

Wang, Y., Peng, S., Assogba, K., Liu, Y., Wang, H., Xu, M., & Wang, Y. (2018). Implementation of cooperation for recycling vehicle routing optimization in two-echelon reverse logistics networks. Sustainability, 10(5), 1358.

Chen, X., Li, Z., Wang, Y., Tang, J., Zhu, W., Shi, C., & Wu, H. (2018). Anomaly Detection and Cleaning of Highway Elevation Data from Google Earth Using Ensemble Empirical Mode Decomposition. Journal of Transportation Engineering, Part A: Systems, 144(5), 04018015.

Li, Y., Ma, D., Zhu, M., Zeng, Z., & Wang, Y. (2018). Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network. Accident Analysis & Prevention, 111, 354-363.

Hua, X., Wang, W., Wang, Y., & Ren, M. (2018). Bus arrival time prediction using mixed multi-route arrival time data at previous stop. Transport, 33(2), 543-554.

Wang, Y., Yuan, Y., Assogba, K., Gong, K., Wang, H., Xu, M., & Wang, Y. (2018). Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization. Journal of Advanced Transportation, 2018.

Ke, R., Zeng, Z., Pu, Z., Wang, Y. (2018). New Framework for Automatic Identification and Quantification of Freeway Bottlenecks Based on Wavelet Analysis. Journal of Transportation Engineering, Part A: Systems, 144(9).

Zou, Y., Ye, X., Henrickson, K., Tang, J., & Wang. Y. (2018). Jointly Analyzing Freeway Traffic Incident Clearance and Response Time Using a Coupla-based Approach. Transportation Research Part C: Emerging Technologies, 86, 171-182.

Cui, Z., Ke, R., Pu, Z., & Wang, Y. (2018). Deep bidirectional and unidirectional LSTM recurrent neural network for network-wide traffic speed prediction. arXiv preprint arXiv:1801.02143.

Ke, R., Li, Z., Tang, J., Pan, Z., & Wang, Y. (2018). Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow. IEEE Transactions on Intelligent Transportation Systems.

Ma, X., Chen, X., Li, X., Ding, C., & Wang, Y. (2018). Sustainable Station-level planning: An Integrated Transport and Land Use Design Model for Transit-oriented Development. Journal of Cleaner Production, 170, 1052-1063.

Chen, C., Anderson, J. C., Wang, H., Wang, Y., Vogt, R., & Hernandez, S. (2017). How Bicycle Level of Traffic Stress Correlate with Reported Cyclist Accidents Injury Severities: A Geospatial and Mixed Logit Analysis. Accident Analysis & Prevention, 108, 234-244.

Chen, X., Li, Z., Wang, Y., Cui, Z., Shi, C., & Wu, H. (2017). Evaluating the impacts of grades on vehicular speeds on interstate highways. PloS one, 12(9), e0184142.

Zhu, W., Li, Z., Ash, J., Wang, Y., & Hua, X. (2017). Capacity Modeling and Control Optimization for a Two-Lane Highway Lane-Closure Work Zone. Journal of Transportation Engineering, Part A: Systems, 143(12), 04017059.

Zeng, Z., Zhu, W., Ke, R., Ash, J., Wang, Y., Xu, J., & Xu, X. (2017). A generalized nonlinear model-based mixed multinomial logit approach for crash data analysis. Accident Analysis & Prevention, 99, 51-65.

Pu, Z., Li, Z., Ash, J., Zhu, W., & Wang, Y. (2017). Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change. Transportation Research Part C: Emerging Technologies, 77, 67-79.

Zhang, S., Tang, J., Wang, H., Wang, Y., & An, S. (2017). Revealing intra-urban travel patterns and service ranges from taxi trajectories. Journal of Transport Geography, 61, 72-86.

Zou, Y., Zhong, X., Ash, J., Zeng, Z., Wang, Y., Hao, Y., & Peng, Y. (2017). Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification. Journal of Advanced Transportation, Vol. 2017.

Wang, Z., Cai, Q., Wu, B., Zheng, L., & Wang, Y. (2017). Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data. Journal of Intelligent Transportation Systems, 21(3), 167-178.

Zhang, W., Kopca, C., Tang, J., Ma, D., & Wang, Y. (2017). A Systematic Approach for Collision Risk Analysis based on AIS Data. The Journal of Navigation, 70(5), 1117-1132.

Bie, Y., Liu, Z., & Wang, Y. (2017). A real-time traffic control method for the intersection with pre-signals under the phase swap sorting strategy. PloS one, 12(5), e0177637.

Wang, Y., Zou, Y., Henrickson, K., Wang, Y., Tang, J., & Park, B. J. (2017). Google Earth elevation data extraction and accuracy assessment for transportation applications. PloS one, 12(4), e0175756.

Loewenherz, F., Bahl, V., & Wang, Y. (2017). Video Analytics Towards Vision Zero. Institute of Transportation Engineers. ITE Journal, 87(3), 25.

Zou, Y., Tang, J., Wu, L., Henrickson, K., & Wang, Y. (2017, February). Quantile analysis of factors influencing the time taken to clear road traffic incidents. In Proceedings of the Institution of Civil Engineers-Transport (Vol. 170, No. 5, pp. 296-304). Thomas Telford Ltd.

Tang, J., Liu, F., Zou, Y., Zhang, W., & Wang, Y. (2017). An improved fuzzy neural network for traffic speed prediction considering periodic characteristic. IEEE Transactions on Intelligent Transportation Systems, 18(9), 2340-2350.

Zhang, W., Qi, Y., Yan, Y., Tang, J., & Wang, Y. (2017). A method of emission and traveller behavior analysis under multimodal traffic condition. Transportation Research Part D: Transport and Environment, 52, 139-155.

Zhang, W., Qi, Y., Henrickson, K., Tang, J., & Wang, Y. (2017). Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method. Transportmetrica A: Transport Science, 13(5), 467-490.

Wang, Y., Ma, X., Li, Z., Liu, Y., Xu, M., & Wang, Y. (2017). Profit distribution in collaborative multiple centers vehicle routing problem. Journal of cleaner production, 144, 203-219.

Wang, Y., Ma, X., Liu, M., Gong, K., Liu, Y., Xu, M., & Wang, Y. (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft Computing, 56, 143-157.

Chen, C., Zhang, G., Ma, X., & Wang, Y. (2017). Big Data Analysis and Knowledge Discovery for Smart City Development Enhancement. Big Data Research, 3(2016), 39-48. In Chinese.

Yuan, S., Wright, B., Zou, Y., & Wang, Y. (2017). Quantification of variability of valid travel times with FMMs for buses, passenger cars, and taxis. IET Intelligent Transport Systems, 11(1), 1-9.

Ke, R., Li, Z., Kim, S., Ash, J., Cui, Z., & Wang, Y. (2017). Real-time bidirectional traffic flow parameter estimation from aerial videos. IEEE Transactions on Intelligent Transportation Systems, 18(4), 890-901.

Hua, X., Wang, W., Wang, Y., & Ren, M. (2017). Bus arrival time prediction using mixed multi-route arrival time data at previous stop. Transport, 1-12.

Wu, W., Ma, W., Lo, K., & Wang, Y. (2016). Integrated Optimization of Bus Priority Operations in Connected Vehicle Environment. Journal of Advanced Transportation, 50 (8), 1853-1869.

Zhang, W., Tang, J., Kristian, H., Zou, Y., & Wang, Y. (2016). Hybrid Short-Term Prediction of Traffic Volume at Ferry Terminal Based on Data Fusion. IET Intelligent Transport Systems, 10(8), 524-534.

Zhang, W., Zou, Y., Tang, J., Ash, J., & Wang, Y. (2016). Short-Term Prediction of Vehicle Waiting Queue at Ferry Terminal Based on Machine Learning Method. Journal of Marine Science and Technology, 21(4), 729-741.

Zhang, W., Goerlandt, F., Kujala, P., & Wang, Y. (2016). An Advanced Method for Detecting Possible Near Miss Ship Collisions from AIS data. Ocean Engineering, 124, 141-156.

Tang, J., Jiang, H., Li, Z., Li, M., Liu, F., & Wang, Y. (2016). A Two-layer Model for Taxi Customer Searching Behaviors using GPS Trajectory Data. IEEE Transactions on Intelligent Transportation Systems, 17(11), 3318-3324.

Wang, Y., Ma, X., Liu, Y., Gong, K, Xu, M., & Wang, Y. (2016). A Two-Stage Algorithm for Origin-Destination Matrices Estimation Considering Dynamic Dispersion Parameter for Route Choice. PLOS ONE, 11(1).

Ma, X., Wang, Y., McCormack, E., & Wang, Y. (2016). Understanding Freight Trip Chaining Behavior Using Spatial Data Mining Approach with GPS Data. Transportation Research Record. No. 2596, 44-54.

Li, M., Chen, X., Lin, S., Xu, D., & Wang, Y. (2016). Connected Vehicle based Dynamic All-Red Extension for Adaptive Signalized Intersections. Journal of Intelligent Transportation Systems. Published online.

Dunlap, M., Li, Z., Henrickson, K., & Wang, Y. (2016). Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit. Transportation Research Record. No. 2595, 11-17.

Wang, Y., Ma, X., Liu, Y., Gong, K., Xu, M., & Wang, Y. (2016). A Two-Stage Algorithm for Origin-Destination Matrices Estimation Considering Dynamic Dispersion Parameter for Route Choice. PLOS ONE, 11(1).

Lin, D., Ma, W., Li, L., & Wang, Y. (2016). A Driving Force Model for Non-Strict Priority crossing Behaviors of Right-Turn Drivers. Transportation Research Part B, 83, 230-244.

Jiang, H., Zou, Y., Zhang, S., Tang, J., & Wang, Y. (2016). Vehicle Waiting Queue at Ferry prediction using remote microwave sensor data: machine learning versus statistical model. Mathematical Problems in Engineering. Vol. 2016.

Tang, J., Liu, F., Zhang, W., Zhang, S., & Wang, Y. (2016). Exploring Dynamic Property of Traffic Flow Time Series in Multi-State Based on Complex Networks: Phase Space Reconstruction versus Visibility Graph. Physica A, 15(5), 635-648.

Tang, J., Zhang, S., Zou, Y., Ash, J., Liu, F., & Wang, Y. (2016). Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System. PLOS ONE, 11(2).

Wang, Z., Wu, B., & Wang, Y. (2016). Comparison of Delay Estimation Models for Signalized Intersections Using Field Observations in Shanghai. IET Journal of Intelligent Transportation Systems, 10(3), 165-174.

Xu, G., Lao, Y., Liu, X., Wang, Y., & An, S. (2016). Simulation-Based Tolling Evaluation for Traffic Network through Customized Route Choice Module. Journal of Transportation Engineering, 142(2).

Zou, Y., Henrickson, K., Lord, D., Wang, Y., & Xu, K. (2016). Application of Finite Mixture Models for Analyzing Freeway Incident Clearance Time. Transportmetrica A, 12(2), 99-115.

Wang, J., Wang, Y., Bi, C., Weng, J., & Yan, X. (2016). Modeling the Probability of Freeway Lane-Changing Collision Occurrence Considering Inter-Vehicle Interaction. Traffic Injury Prevention, 17(2), 181-187.

Chen, X., Henrickson, K., & Wang, Y. (2015). Kinect-based Pedestrian Detection for Crowded Scenes. Computer-Aided Civil and Infrastructure Engineering, 31(3), 229-240.

Zou, Y., Hua, X., Zhang, Y., & Wang, Y. (2015). Hybrid Short-Term Freeway Speed Prediction Methods Based on Spatial-Temporal and Periodic Analysis. Canadian Journal of Civil Engineering, 42(8), 570-582.

Tang, J., Liu, F., Wang, Y., & Wang, H. (2015). Uncovering Urban Human Mobility from Large Scale Taxi GPS Data. Physica A, 438: 140-153.

Ding, C., Ma, X., Wang, Y., & Wang, Y. (2015). Exploring the Influential Factors in Incident Clearance Time: Disentangling Causation from Self-Selection Bias. Accident Analysis and Prevention, 85, 58-65.

Zou, Y., Henrickson, K., Wu, L., & Wang, Y. (2015). Application of the Empirical Bayes Method with Finite Mixture Model for Identifying Accident-Prone Spots. Mathematical Problems in Engineering, Vol. 2015.

Ma, X., Tao, Z., Wang, Y., Yu, H., & Wang, Y. (2015). Long Short-term Memory Neural Network for Traffic Speed Prediction Using Remote Microwave Sensor Data. Transportation Research Part C: Emerging Technologies, 54, 187-197.

Wang, Y., Ma, X., Lao, Y., & Wang, Y. (2015). Two-Echelon Logistics Distribution Region Partitioning Problem based on a Hybrid Particle Swarm Optimization–Genetic Algorithm. Expert Systems with Applications, 42(12), 5019-5031.

Ma, X., Yu, H., Wang, Y., & Wang, Y. (March, 2015). Large-scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory. PLOS ONE.

Zhang, S., Tang, J., Wang, H., & Wang, Y. (2015). Enhancing Traffic Incident Detection Using Spatial Point Pattern Analysis in Social Media. Transportation Research Record, 2528, 69-77.

Tang, J., Wang, Y., Zhang, S., Wang, H., & Liu, F. (2015). On Missing Traffic Data Imputation Based on Fuzzy C-means Method by Considering Spatial Temporal Correlation. Transportation Research Record, No. 2528, 86–95.

Henrickson, K., Zou, Y., Wang, Y. (2015). Flexible and Robust Method for Missing Loop Detector Data Imputation. Transportation Research Record, No. 2527, 29-36.

Wang, Y., Ma, W., Henrickson, K., Wang, Y., & Yang, X. (2015). Dynamic Lane Assignment Approach for Freeway Weaving Segment Operation. Transportation Research Record, No. 2484, 39-49.

Wright, B., Zou, Y., & Wang, Y. (2015). The Impact of Traffic Incidents on the Reliability of Freeway Travel Times. Transportation Research Record, No. 2484, 90-98.

Xiao, S., Liu, C., & Wang, Y. (2015). Data-driven Geospatial-enabled Transportation Platform for Freeway Performance Analysis. IEEE Intelligent Transportation Systems Magazine, 7(2), 10-21.

Yu, R., Liu, C., Larson, T., & Wang, Y. (2015). Coherent Approach for Modeling and Nowcasting Hourly Near-Road Black Carbon Concentrations in Seattle, Washington. Transportation Research Part D, 34, 104–115.

Zhang, H., Zhao, P., Wang, Y., Yao, X., Zhuge, C. (2015). Evaluation of Bus Networks in China: from Topology and Transfer Perspectives. Discrete Dynamics in Nature and Society, Vol. 2015, Article ID 328320, 8 pages.

Tang, J., Zhang, G., Wang, Y., Wang, H., & Liu, F. (2015). A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation. Transportation Research Part C, 51, 29-40.

Wang, Y., Ma, X., Lao, Y., & Wang, Y. (2015). Vehicle Routing Problem based on A Fuzzy Customer Clustering Approach for Logistics Network Optimization.” Journal of Intelligent & Fuzzy Systems, 29(4), 1427-1442.

Wang, Y., Ma, X., Wang, L., Wang, Y., Liu, Y., & Xu, M. (2015). A Methodology to Exploit Profit Allocation in Logistics Joint Distribution Network Optimization. Mathematical Problems in Engineering, Vol. 2015, Article ID 827021.

Perrine, K., Lao, Y., Wang, J., & Wang, Y. (2015). Area-Wide Ramp Metering for Targeted Incidents: The Additive Increase, Multiplicative Decrease Method. Journal of Computing in Civil Engineering, 29(2).

Hou, L., Lao, Y., Wang, Y., Zhang, Z., Zhang, Y., & Li, Z. (2014). Time-Varying Effects of Influential Factors on Incident Clearance Time Using a Non-Proportional Hazard-based Model. Transportation Research Part A, Vol. 63, 12-24.

Ma, X. and Wang, Y. (2014). Development of A Data-driven Platform for Transit Performance Measures Using Smart Card Data and GPS Data. Journal of Transportation Engineering, 140(12).

Cai, Q., Wang, Z., Zheng, L., Wu, B., & Wang, Y. (2014). Shockwave Approach to Estimating Queue Length at Signalized Intersections by Fusing Data of Point and Mobile Sensors. Transportation Research Record, No. 2422, 79-87.

Tang, J., Wang, H., Wang, Y., Liu, X., & Liu, F. (2014). Hybrid Predicting Approach Based on Weekly Similarity for Traffic Flow at Different Temporal Scales. Transportation Research Record, No. 2443, 21-31.

Wang, H., Quan, W., Wang, Y., & Miller, G. (2014). Dual Roadside Seismic Sensor for Moving Road Vehicle Detection and Characterization. Sensors 2014, 14(2), 2892-2910.

Tang, J., Wang, Y., & Liu, F. (2014). Dynamic Analysis of Traffic Time Series at Different Temporal Scales: A Complex Networks Approach. Physica A, Vol. 405, 303-315.

Zhang, G., Ma, X., & Wang, Y. (2014). Self-Adaptive Dynamic Tolling Strategy for Optimal Operations on High Occupancy Toll Lanes. IEEE Transactions on Intelligent Transportation Systems, 15(1), 306-317.

Lao, Y., Zhang, G., Wang, Y., & Milton, J. (2014). Generalized Nonlinear Models for Rear-End Crash Risk Analysis. Accident Analysis and Prevention, Vol. 62, 9-16.

Wang, Y., Ma, X., Lao, Y., Wang, Y., & Mao, H. (2014). A Fuzzy-based Customer Clustering Approach with Hierarchical Structure for Logistics Network Optimization. Expert Systems with Applications, 41(2), 521-534.

Yu, R., Lao, Y., Ma, X., & Wang, Y. (2014). Short-Term Traffic Flow Forecasting for Improved Estimates of Freeway Incident Induced Delays. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 18(3), 254-263.

Zhang, G. and Wang, Y. (2014). Gaussian Kernel Based Approach for Modeling Vehicle Headway Distributions. Transportation Science, 48(2).

Ma, X., Wu, Y., Wang, Y., Chen, F., & Liu, J. (2013). Mining Smart Card Data for Transit Riders’ Travel Patterns. Transportation Research Part C, Vol, 36, 1-12.

Tang, J., Wang, Y., & Liu, F. (2013). Characterizing Traffic Time Series Based on Complex Network Theory. Physica A, 392(18), 4192-4201.

Wang, Y., Ma, X., Lao, Y., Wang, Y., & Mao, H. (2013). Vehicle Routing Problem: Simultaneous Deliveries and Pickups with Split Loads and Time Windows. Transportation Research Record, No. 2378, 120-128.

Wang, H., Quan, W., Wang, Y., & Liu, X. (2013). Modeling of Safe Driving Distance on the Basis of Vehicle-to-Vehicle Communication. Transportation Research Record, No. 2381, 28-35.

Liu, X., Zhang, G., Kwan, C., Wang, Y., & Kemper, B. (2013). Simulation-Based Scenario-Driven Integrated Corridor Management Strategy Analysis. Transportation Research Record, No. 2396, 38-44.

Zheng, J., Wu, Y., Ma, X., & Wang, Y. (2013). Measuring Signalized Intersection Performances in Real-Time with Traffic Sensors. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 17(4), 304-316.

Zhang, G. and Wang, Y. (2013). Optimizing Coordinated Ramp Metering – A Preemptive Hierarchical Control Approach. Computer-Aided Civil and Infrastructure Engineering, Vol. 28, 23-27.

Hou, L., Lao, Y., Wang, Y., Zhang, Z., Zhang, Y., & Li, Z. (2013). Modeling Freeway Incident Response Time: a Mechanism-based Approach. Transportation Research Part C, Vol. 28, 87-100.

Cao, J., Liu, X., Wang, Y., & Li, Q. (2013). Accessibility Impacts of China’s High-Speed Rail Network. Journal of Transport Geography, Vol. 28, 12-21.

Conference Proceedings

Pu, Z., Zhang, Q., Zhuang, Y., Lv, Y., & Wang, Y. (2020, August). A Device-Free Wi-Fi Sensing Method for Pedestrian Monitoring Using Channel State Information. In International Conference on Transportation and Development 2020 (pp. 207-220). Reston, VA: American Society of Civil Engineers.

Xu, X., Zeng, Z., Wang, Y., & Ash, J. (2019). Crash Density and Severity Prediction Using Recurrent Neural Networks Combined with Particle Swarm Optimization. In International Conference on Management Science and Engineering Management (pp. 566-580). Springer, Cham.

Yang, H., Liu, C., Gottsacker, C., Ban, X., Zhang, C., & Wang, Y. (2019). Cell-Speed Prediction Neural Network (CPNN): A Deep Learning Approach for Trip-Based Speed Prediction (No. 19-02492).

Liang, Y., & Wang, Y. (2019). Data-Driven Road Side Unit Location for Connected-Autonomous-Vehicle-Based Intersection Control (No. 19-01496).

Cui, Z., Henrickson, K., Pu, Z., Guo, G., & Wang, Y. (2019). A New Multi-Source Traffic Data Integration Framework for Traffic Analysis and Performance Measurement (No. 19-02736).

Liu, C., Deng, F., Jiang, Y., Pu, Z., Du, Y., & Wang, Y. (2019). View Independent Vehicle Model Recognition Using Semantic Segmentation and Image Retrieval (No. 19-03448).

Jiang, Y., Zhang, J., Wang, Y., Liu, C., & Pu, Z. (2019). Capturing Young People’s Ownership Behavior of Autonomous Vehicles Based on an Comparative Analysis in Japan (No. 19-05888).

Ash, J. E., Henrickson, K., & Wang, Y. (2019). A Data-Driven Approach for Estimation of Passenger Car Equivalents on Basic Freeway Segments Operating at Capacity (No. 19-04350).

Zeng, Z., Ash, J., Pu, Z., Zhuang, Y., & Wang, Y. (2018). A Framework of a V2X Communication System for Enhancing Vehicle and Pedestrian Safety at Un-signalized Intersections (No. 18-03707).

Pu, Z., Li, Z., Zhu, W., Cui, Z., & Wang, Y. (2017). Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis (No. 17-05863).

Ke, R., Pan, Z., Pu, Z., & Wang, Y. (2017, September). Roadway surveillance video camera calibration using standard shipping container. In Smart Cities Conference (ISC2), 2017 International (pp. 1-6). IEEE.

You, J., Shangguan, J., Sun, Y., & Wang, Y. (2017, September). Improved trustworthiness judgment in open networks. In Smart Cities Conference (ISC2), 2017 International (pp. 1-2). IEEE.

Cui, Z., Ke, R., & Wang, Y. 2017). Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction. UrbCom’17, Aug. 14, 2017, Halifax, Nova Scotia, Canada.

Ke, R., Lutin, J., Spears, J., & Wang, Y. (2017). A Cost-effective Framework for Automated Vehicle-pedestrian Near-miss Detection through Onboard Monocular Vision. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Honolulu, Hawaii, July 21, 2017.

Zhang, W., Dai, J., Ke, R., & Wang, Y. (2017). Evaluating Influential Factors on the Duration of Vehicle Incidents that Result in Fires Using Gray Relational Analysis. Proceedings of the 17th COTA International Conference of Transportation Professionals (CICTP 2017).

Cui, Z., Zhang, S., Henrickson, K., & Wang, Y. (2016). New Progress of DRIVE Net. Proceedings of the IEEE Second International Smart Cities Conference.

Liu, J., Ma, X., & Wang, Y. (2016). Temporal Distribution Analysis of Beijing Subway Ridership. Proceedings of the 16th COTA International Conference of Transportation Professionals (CICTP 2016).

Zhu, W., Li, Z., & Wang, Y. (2016). Capacity Modeling and Control Optimization for Two-lane Highway Lane Closure Work Zones. Accepted by the International Symposium on Enhancing Highway Performance (ISEHP).

Chen, X., Zou, Y., Wright, B., & Wang, Y. (2016). Examining the Impact of Traffic Incidents on the Travel Time Variability of Freeway Managed Lanes. Accepted by the International Symposium on Enhancing Highway Performance (ISEHP).

Ke, R., Kim, S., Li, Z., & Wang, Y. (2015). Motion-Vector Clustering for Traffic Speed Detection from UAV Video. Proceedings of the IEEE First International Smart Cities Conference.

Cui, Z., Long, Y., Ke, R., & Wang, Y. (2015). Characterizing evolution of extreme public transit behavior using smart card data. Proceedings of the IEEE First International Smart Cities Conference.

Zhu, W., Ash, J., Li, Z., Wang, Y., & Lowry, M. (2015). Applying semi-supervised learning method for cellphone-based travel mode classification. In Smart Cities Conference (ISC2), 2015 IEEE First International (pp. 1-6). IEEE.

Bi, C., Zou, Y., & Wang, Y. (2014). Traffic Flow Condition Associated with Truck-involved Crash on Freeway. Proceedings of the 14th COTA International Conference of Transportation Professionals (CICTP).

Bi, C., Ma, X., Zhang, Y., & Wang, Y. (2014). Developing A Cluster-based Algorithm for Collision Hotspot Identification. Proceedings of the 14th COTA International Conference of Transportation Professionals (CICTP).

Zhang, S., Wang, H., Wang, Y., & Liu, X. (2014). Analysis of Weather-Lagged Effects on Freeway Free-Flow Characteristics in Jilin, China. Preprint CD-ROM, the 93rd Annual Meeting of Transportation Research Board, Paper 14-5156.

Chen, X., Lin, X., Xu, D., Wang, Y., & Li, M. (2014). Applying Least Squares Support Vector Machines for Prediction of Red-Light-Running Based on Continuous Vehicle Trajectory Measurements. Preprint CD-ROM, the 93rd Annual Meeting of Transportation Research Board, Paper 14-3397.

Corey, J., Lao, Y., & Wang, Y. Applicability of Conditional Left Turn Phase Reservice Strategies. Preprint CD-ROM, the 93rd Annual Meeting of Transportation Research Board, Paper 14-5664.

Books

Ziqiang Zeng, Wenbo Zhu, Ruimin Ke, John Ash, Yinhai Wang*, Jiuping Xu, Xinxin Xu. A Generalized Nonlinear Model-based Mixed Multinomial Logit Approach for Crash Data Analysis. Accident Analysis and Prevention, 2017, 99: 51-65.

Datasets

We published the following datasets with 20,000 samples in total as a benchmark for UAV-based vehicle detection. In the datasets (in csv format), each row is an image in the size of 20 × 13. For more details, please refer to our paper [1]. When using this dataset in your research, we will be happy if you cite our paper! (or bring us some self-made pizza)
Training data (csv 18k)
Test data (csv 2k)

[1] Ke, R., Li, Z., Tang, J., Pan, Z., & Wang, Y. (2018). Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow. IEEE Transactions on Intelligent Transportation Systems.

Journal Publications

Conference Proceedings

Books

Datasets