| An improved fuzzy neural network for traffic speed prediction considering periodic characteristic J Tang, F Liu, Y Zou, W Zhang, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (9), 2340-2350, 2017 | 286 | 2017 |
| Lane-changes prediction based on adaptive fuzzy neural network J Tang, F Liu, W Zhang, R Ke, Y Zou Expert Systems with Applications 91, 452-463, 2018 | 157 | 2018 |
| A space–time diurnal method for short-term freeway travel time prediction Y Zou, X Zhu, Y Zhang, X Zeng Transportation Research Part C: Emerging Technologies 43, 33-49, 2014 | 83 | 2014 |
| Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis Y Zou, Y Zhang, D Lord Accident Analysis & Prevention 50, 1042-1051, 2013 | 83 | 2013 |
| Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China J Tang, S Zhang, X Chen, F Liu, Y Zou Physica A: Statistical Mechanics and its Applications 493, 430-443, 2018 | 73 | 2018 |
| Google Earth elevation data extraction and accuracy assessment for transportation applications Y Wang, Y Zou, K Henrickson, Y Wang, J Tang, BJ Park PloS one 12 (4), e0175756, 2017 | 64 | 2017 |
| The Poisson inverse Gaussian (PIG) generalized linear regression model for analyzing motor vehicle crash data L Zha, D Lord, Y Zou Journal of Transportation Safety & Security 8 (1), 18-35, 2016 | 60 | 2016 |
| Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety Y Zou, JE Ash, BJ Park, D Lord, L Wu Journal of Applied Statistics 45 (9), 1652-1669, 2018 | 59 | 2018 |
| Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models Y Zou, Y Zhang, D Lord Analytic methods in accident research 1, 39-52, 2014 | 59 | 2014 |
| Modeling over-dispersed crash data with a long tail: examining the accuracy of the dispersion parameter in negative binomial models Y Zou, L Wu, D Lord Analytic Methods in Accident Research 5, 1-16, 2015 | 58 | 2015 |
| Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review J Tang, L Zheng, C Han, W Yin, Y Zhang, Y Zou, H Huang Analytic Methods in Accident Research 27, 100123, 2020 | 57 | 2020 |
| Assessing the agreement among pavement condition indexes NG Gharaibeh, Y Zou, S Saliminejad Journal of Transportation Engineering 136 (8), 765-772, 2010 | 55 | 2010 |
| Application of finite mixture models for analysing freeway incident clearance time Y Zou, K Henrickson, D Lord, Y Wang, K Xu Transportmetrica A: Transport Science 12 (2), 99-115, 2016 | 47 | 2016 |
| A semi-nonparametric Poisson regression model for analyzing motor vehicle crash data X Ye, K Wang, Y Zou, D Lord PloS one 13 (5), e0197338, 2018 | 46 | 2018 |
| Short-term speed prediction using remote microwave sensor data: machine learning versus statistical model H Jiang, Y Zou, S Zhang, J Tang, Y Wang Mathematical Problems in Engineering 2016, 2016 | 46 | 2016 |
| Hybrid short-term freeway speed prediction methods based on periodic analysis Y Zou, X Hua, Y Zhang, Y Wang Canadian Journal of Civil Engineering 42 (8), 570-582, 2015 | 45 | 2015 |
| Evaluation of short-term freeway speed prediction based on periodic analysis using statistical models and machine learning models X Yang, Y Zou, J Tang, J Liang, M Ijaz Journal of Advanced Transportation 2020, 2020 | 44 | 2020 |
| Comparison of sichel and negative binomial models in estimating empirical bayes estimates Y Zou, D Lord, Y Zhang, Y Peng Transportation research record 2392 (1), 11-21, 2013 | 43 | 2013 |
| Flexible and robust method for missing loop detector data imputation K Henrickson, Y Zou, Y Wang Transportation Research Record 2527 (1), 29-36, 2015 | 37 | 2015 |
| Use of skew-normal and skew-t distributions for mixture modeling of freeway speed data Y Zou, Y Zhang Transportation research record 2260 (1), 67-75, 2011 | 36 | 2011 |
