Predicting motor vehicle crashes using support vector machine models X Li, D Lord, Y Zhang, Y Xie Accident Analysis & Prevention 40 (4), 1611-1618, 2008 | 403 | 2008 |
Short‐term traffic volume forecasting using Kalman filter with discrete wavelet decomposition Y Xie, Y Zhang, Z Ye Computer‐Aided Civil and Infrastructure Engineering 22 (5), 326-334, 2007 | 353 | 2007 |
Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis Y Xie, D Lord, Y Zhang Accident Analysis & Prevention 39 (5), 922-933, 2007 | 322 | 2007 |
A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model Y Zhang, Y Zhang, A Haghani Transportation Research Part C: Emerging Technologies 43, 65-78, 2014 | 269 | 2014 |
Crash injury severity analysis using Bayesian ordered probit models Y Xie, Y Zhang, F Liang Journal of Transportation Engineering 135 (1), 18-25, 2009 | 235 | 2009 |
Forecasting of short-term freeway volume with v-support vector machines Y Zhang, Y Xie Transportation Research Record 2024 (1), 92-99, 2007 | 195 | 2007 |
Traffic flow simulation using CORSIM LE Owen, Y Zhang, L Rao, G McHale 2000 Winter Simulation Conference Proceedings (Cat. No. 00CH37165) 2, 1143-1147, 2000 | 178 | 2000 |
Queue length estimation using connected vehicle technology for adaptive signal control K Tiaprasert, Y Zhang, XB Wang, X Zeng IEEE Transactions on Intelligent Transportation Systems 16 (4), 2129-2140, 2015 | 169 | 2015 |
Travel mode choice modeling with support vector machines Y Zhang, Y Xie Transportation Research Record 2076 (1), 141-150, 2008 | 164 | 2008 |
Short-term traffic flow forecasting using fuzzy logic system methods Y Zhang, Z Ye Journal of Intelligent Transportation Systems 12 (3), 102-112, 2008 | 163 | 2008 |
Multiregime approach for microscopic traffic simulation Y Zhang, LE Owen, JE Clark Transportation Research Record 1644 (1), 103-114, 1998 | 145 | 1998 |
Vehicle type–specific headway analysis using freeway traffic data F Ye, Y Zhang Transportation research record 2124 (1), 222-230, 2009 | 119 | 2009 |
Development of recurrent neural network considering temporal‐spatial input dynamics for freeway travel time modeling X Zeng, Y Zhang Computer‐Aided Civil and Infrastructure Engineering 28 (5), 359-371, 2013 | 116 | 2013 |
Seasonal autoregressive integrated moving average and support vector machine models: prediction of short-term traffic flow on freeways N Zhang, Y Zhang, H Lu Transportation Research Record 2215 (1), 85-92, 2011 | 110 | 2011 |
A wavelet network model for short-term traffic volume forecasting Y Xie, Y Zhang Journal of Intelligent Transportation Systems 10 (3), 141-150, 2006 | 110 | 2006 |
Bayesian mixture modeling approach to account for heterogeneity in speed data BJ Park, Y Zhang, D Lord Transportation research part B: methodological 44 (5), 662-673, 2010 | 107 | 2010 |
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 | 103 | 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 | 103 | 2013 |
Development of a driving simulator based eco-driving support system X Zhao, Y Wu, J Rong, Y Zhang Transportation Research Part C: Emerging Technologies 58, 631-641, 2015 | 98 | 2015 |
Vehicle fuel consumption prediction method based on driving behavior data collected from smartphones Y Yao, X Zhao, C Liu, J Rong, Y Zhang, Z Dong, Y Su Journal of Advanced Transportation 2020 (1), 9263605, 2020 | 85 | 2020 |