Follow
Lingtao Wu
Lingtao Wu
Texas A&M Transportation Institute
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
X Wen, Y Xie, L Wu, L Jiang
Accident Analysis & Prevention 159, 106261, 2021
1262021
Factors influencing the patterns of wrong-way driving crashes on freeway exit ramps and median crossovers: Exploration using ‘Eclat’association rules to promote safety
S Das, A Dutta, M Jalayer, A Bibeka, L Wu
International journal of transportation science and technology 7 (2), 114-123, 2018
782018
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
732015
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
722018
Validation of crash modification factors derived from cross-sectional studies with regression models
L Wu, D Lord, Y Zou
Transportation research record 2514 (1), 88-96, 2015
522015
Application of the bayesian model averaging in analyzing freeway traffic incident clearance time for emergency management
Y Zou, B Lin, X Yang, L Wu, M Muneeb Abid, J Tang
Journal of advanced transportation 2021, 1-9, 2021
412021
Comparison of sichel and negative binomial models in hot spot identification
L Wu, Y Zou, D Lord
Transportation Research Record 2460 (1), 107-116, 2014
402014
A copula-based approach for accommodating the underreporting effect in wildlife‒vehicle crash analysis
Y Zou, X Zhong, J Tang, X Ye, L Wu, M Ijaz, Y Wang
Sustainability 11 (2), 418, 2019
382019
Vehicle acceleration prediction based on machine learning models and driving behavior analysis
Y Zou, L Ding, H Zhang, T Zhu, L Wu
applied sciences 12 (10), 5259, 2022
352022
Finite mixture modeling approach for developing crash modification factors in highway safety analysis
BJ Park, D Lord, L Wu
Accident Analysis & Prevention 97, 274-287, 2016
302016
Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method
S Das, L Minjares-Kyle, L Wu, RH Henk
Journal of safety research 70, 213-222, 2019
272019
Developing crash modification factors for horizontal curves on rural two-lane undivided highways using a cross-sectional study
L Wu, D Lord, SR Geedipally
Transportation Research Record 2636 (1), 53-61, 2017
252017
Quantile analysis of factors influencing the time taken to clear road traffic incidents
Y Zou, J Tang, L Wu, K Henrickson, Y Wang
Proceedings of the Institution of Civil Engineers-Transport 170 (5), 296-304, 2017
232017
Comparative analysis of empirical bayes and bayesian hierarchical models in hotspot identification
X Guo, L Wu, Y Zou, L Fawcett
Transportation research record 2673 (7), 111-121, 2019
222019
Safety evaluation of alternative audible lane departure warning treatments in reducing traffic crashes: An empirical Bayes observational before–after study
L Wu, SR Geedipally, AM Pike
Transportation research record 2672 (21), 30-40, 2018
222018
Examining the influence of link function misspecification in conventional regression models for developing crash modification factors
L Wu, D Lord
Accident Analysis & Prevention 102, 123-135, 2017
222017
The Safety Analysis of Accesses on Two-lane Highways [in Chinese]
C TANG, T ZHANG, LT WU
Journal of Highway and Transportation Research and Development 24 (6), 122-125, 2008
22*2008
Application of Bayesian model averaging for modeling time headway distribution
S Wu, Y Zou, L Wu, Y Zhang
Physica A: Statistical Mechanics and its Applications 620, 128747, 2023
202023
Application of machine learning techniques to predict the occurrence of distraction-affected crashes with phone-use data
C Ma, Y Peng, L Wu, X Guo, X Wang, X Kong
Transportation research record 2676 (2), 692-705, 2022
182022
A comparative analysis of intersection hotspot identification: Fixed vs. varying dispersion parameters in negative binomial models
Y Meng, L Wu, C Ma, X Guo, X Wang
Journal of Transportation Safety & Security 14 (2), 305-322, 2022
182022
The system can't perform the operation now. Try again later.
Articles 1–20