Dept. of Automation, Tsinghua University
在 的电子邮件经过验证
The roles of exposure and speed in road safety analysis
X Pei, SC Wong, NN Sze
Accident analysis & prevention 48, 464-471, 2012
A joint-probability approach to crash prediction models
X Pei, SC Wong, NN Sze
Accident Analysis & Prevention 43 (3), 1160-1166, 2011
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Q Zeng, H Wen, H Huang, X Pei, SC Wong
Accident Analysis & Prevention 99, 184-191, 2017
Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks
Q Zeng, H Huang, X Pei, SC Wong
Analytic methods in accident research 10, 12-25, 2016
Jointly modeling area-level crash rates by severity: a Bayesian multivariate random-parameters spatio-temporal Tobit regression
Q Zeng, Q Guo, SC Wong, H Wen, H Huang, X Pei
Transportmetrica A: Transport Science 15 (2), 1867-1884, 2019
Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity
Q Zeng, H Wen, H Huang, X Pei, SC Wong
Transportmetrica A: transport science 14 (3), 177-191, 2018
The effect of road network patterns on pedestrian safety: A zone-based Bayesian spatial modeling approach
Q Guo, P Xu, X Pei, SC Wong, D Yao
Accident Analysis & Prevention 99, 114-124, 2017
Rule extraction from an optimized neural network for traffic crash frequency modeling
Q Zeng, H Huang, X Pei, SC Wong, M Gao
Accident Analysis & Prevention 97, 87-95, 2016
Predicting crash frequency using an optimised radial basis function neural network model
H Huang, Q Zeng, X Pei, SC Wong, P Xu
Transportmetrica A: transport science 12 (4), 330-345, 2016
Severity of pedestrian injuries due to traffic crashes at signalized intersections in Hong Kong: a Bayesian spatial logit model
X Xu, S Xie, SC Wong, P Xu, H Huang, X Pei
Journal of Advanced Transportation 50 (8), 2015-2028, 2016
Spatial joint analysis for zonal daytime and nighttime crash frequencies using a Bayesian bivariate conditional autoregressive model
Q Zeng, H Wen, SC Wong, H Huang, Q Guo, X Pei
Journal of Transportation Safety & Security 12 (4), 566-585, 2020
Is a combined enforcement and penalty strategy effective in combating red light violations? An aggregate model of violation behavior in Hong Kong
NN Sze, SC Wong, X Pei, PW Choi, YK Lo
Accident Analysis & Prevention 43 (1), 265-271, 2011
Bootstrap resampling approach to disaggregate analysis of road crashes in Hong Kong
X Pei, NN Sze, SC Wong, D Yao
Accident Analysis & Prevention 95, 512-520, 2016
A Heckman selection model for the safety analysis of signalized intersections
X Xu, SC Wong, F Zhu, X Pei, H Huang, Y Liu
PloS One 12 (7), e0181544, 2017
Empirical evidence and stability analysis of the linear car-following model with gamma-distributed memory effect
X Pei, Y Pan, H Wang, SC Wong, K Choi
Physica A: Statistical Mechanics and its Applications 449, 311-323, 2016
Dangerous driving behavior recognition and prevention using an autoregressive time-series model
H Chen, S Feng, X Pei, Z Zhang, D Yao
Tsinghua science and technology 22 (6), 682-690, 2017
A simulation system and speed guidance algorithms for intersection traffic control using connected vehicle technology
S Liu, W Zhang, X Wu, S Feng, X Pei, D Yao
Tsinghua Science and Technology 24 (2), 160-170, 2018
Role of road network features in the evaluation of incident impacts on urban traffic mobility
C Sun, X Pei, J Hao, Y Wang, Z Zhang, SC Wong
Transportation research part B: methodological 117, 101-116, 2018
Gas dynamic analogous exposure approach to interaction intensity in multiple-vehicle crash analysis: Case study of crashes involving taxis
F Meng, W Wong, SC Wong, X Pei, YC Li, H Huang
Analytic methods in accident research 16, 90-103, 2017
A comparative study of state-of-the-art driving strategies for autonomous vehicles
C Zhao, L Li, X Pei, Z Li, FY Wang, X Wu
Accident Analysis & Prevention 150, 105937, 2021
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