Lingtao Wu, Ph.D., P.E.

Texas A&M Transportation Institute

3135 TAMU

Texas A&M University

College Station, TX

77843-3135

 

l-wu ※at§ tti ※dot§ tamu ※dot§ edu

 

Last update: July 4th, 2020

 

 

Education:

Ph.D. - Texas A&M University, College Station, Texas

Master - Research Institute of Highway, Beijing, China

Bachelor - Beijing Jiaotong University, Beijing, China

 

Working Experience:

Center for Transportation Safety, Texas A&M Transportation Institute

Assistant Research Scientist / Associate Transportation Researcher / Post-Doctoral Research Associate / Graduate Research Assistant

Roadway Safety Research Center, Research Institute of Highway

Research Associate / Research Assistant

 

Awards:

TRB Young Researcher Paper Award (Committee ANB20) - 2015

International Road Federation (IRF) Fellowship - 2012

The 1st Prize of China Highway and Transportation Society (Ranking 3) - 2012

The 2nd Prize of China Highway and Transportation Society (Ranking 8) - 2011

 

Software Program:

HSID Performance Evaluation Tool

 

Selected Publications: (Please email if you need any of them)

My Google Scholar: https://scholar.google.com/citations?user=Mx7r_O8AAAAJ&hl=en

       Guo, X., L. Wu, and D. Lord. (2020). Generalized Criteria for Evaluating Hotspot Identification Methods. Accident Analysis and Prevention (forthcoming). HSID Performance Evaluation Tool

       Wu, L., Y. Meng, X, Kong, and Y. Zou. (2020). Incorporating Survival Analysis into the Safety Effectiveness Evaluation of Treatments: Jointly Modeling Crash Counts and Time Intervals between Crashes. Journal of Transportation Safety & Security.

       Chen Y., L. Wu, and Z. Huang. (2020). Assessing the Quality of Crash Modification Factors Estimated with the Empirical Bayes Before-After Methods. Journal of Central South University (forthcoming).

       Meng, Y., L. Wu, C. Ma, X. Guo and X. Wang. (2020). A Comparative Analysis of Intersection Hotspot Identification: Fixed vs. Varying Dispersion Parameters in Negative Binomial Models. Journal of Transportation Safety & Security.

       Wu, L., B. Dadashova, S. Geedipally, M. Pratt, and M. Shirazi. (2019). Using Naturalistic Driving Study Data to Explore the Association between Horizontal Curve Safety and Operation on Rural Two-Lane Highways. Journal of Transportation Safety & Security

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

       Das, S., L. Minjares-Kyle, L. Wu, and R. Henk. (2019) Understanding Crash Potential Associated with Teen Driving: Survey Analysis using Multivariate Graphical Method. Journal of Safety Research.

       Guo, X., L. Wu, Y. Zou, and L. Fawcett. (2019) A Comparative Analysis of Empirical Bayes and Bayesian Hierarchical Models in Hotspot Identification. Transportation Research Record.

       Pratt, P., S. Geedipally, B. Dadashova, L. Wu, and M. Shirazi. (2019) Familiar versus Unfamiliar Drivers on Curves: Naturalistic Data Study. Transportation Research Record.

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

       Wu, L., S. Geedipally, and Pike A. (2018) Safety Evaluation of Alternative Audible Lane Departure Warning Treatments in Reducing Traffic Crashes: An Empirical Bayes Observational Before每After Study. Transportation Research Record.

       Zou, Y., J. Ash, B. Park, D. Lord, and L. Wu. (2018) Empirical Bayes Estimates of Finite Mixture of Negative Binomial Regression Models and Its Application to Highway Safety. Journal of Applied Statistics.

       Das, S., A. Dutta, M. Jalayer, A. Bibeka, and L. Wu. (2018) Factors Influencing the Patterns of Wrong-Way Driving Crashes on Freeway Exit Ramps and Median Crossovers: Exploration Using &Eclat* Association Rules to Promote Safety. International Journal of Transportation Science and Technology.

       Dadashova B., L. Wu, and K. Dixon. (2018) Evaluating the Impact of Rumble Strips on Fatal and Injury Freeway Crashes. Transportation Research Record.

       Wu, L., and D. Lord. (2017) Examining the Influence of Link Function Misspecification in Conventional Regression Models for Developing Crash Modification Factors. Accident Analysis & Prevention.

       Wu, L., D. Lord, and S Geedipally. (2017) Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways using a Cross-Sectional Study. Transportation Research Record. 

       Zou, Y., J. Tang, L., Wu, K. Henrickson, and Y. Wang. (2017) Quantile Analysis of Effects of Influential Factors on Freeway Incident Clearance Time. Transport.

       Park, B., D. Lord, and L., Wu. (2016) Finite Mixture Modeling Approach for Developing Crash Modification Factors in Highway Safety Analysis. Accident Analysis & Prevention.

       Wu, L., D. Lord, and Y. Zou. (2015) Validation of CMFs Derived from Cross-Sectional Studies with Regression Models. Transportation Research Record. (Young Researcher Paper Award 每 TRB Committee ANB20).

       Zou, Y., L. Wu, and D. Lord. (2015) Modeling Over-Dispersed Crash Data with a Long Tail: Examining the Accuracy of the Dispersion Parameter in Negative Binomial Models. Analytic Methods in Accident Research.

       Wu, L., Y. Zou, and D. Lord. (2014) Comparison of Sichel and Negative Binomial Models in Hotspot Identification. Transportation Research Record.

       Nie, J., J. Wu, L. Wu, L. Ren and J. Yang. (2014) Study on Urban Road Speed Limit for Pedestrian and Bicyclist Traffic Safety. China Journal of Highway and Transport. (in Chinese)

       Yang, M., L. Wu, and C. Tang. (2012) Study of Influence of Foreign Characters in Guide Signs on Legibility. Journal of Highway and Transportation Research and Development.

       Zhang, T., C. Tang, L. Wu, and X. Mi. (2008) Research on Safety of Highway Cross-Section Factors in Plain Areas. Highway. (in Chinese)

       Tang, C., T. Zhang, and L. Wu. (2007) The Safety Analysis of Accesses in Two-lane Highways. Journal of Highway and Transportation Research and Development. (in Chinese)

 

Conference Presentations: (Please email if you need any of them)

       Wu, L., Y. Chen, and Z. Huang. (2020) Examining the Standard Errors of Crash Modification Factors Developed with Empirical Bayes Before-After Studies. Presented at the 99th TRB Annual Meeting (Poster Session).

       Saenz, H., H. Yu, L. Wu, and X. Zhou. (2020) Detecting Phone-Related Pedestrian Distracted Behaviors via a Two-Branch Convolutional Neural Network. Presented at the 99th TRB Annual Meeting (Lectern Session).

       Zhang, Y., Y. Zou, and L. Wu. (2020) A Linear Poisson Autoregressive Model for Analyzing Dynamic Fatal Traffic Accident Data. Presented at the 99th TRB Annual Meeting (Poster Session).

       Shimu, T., D. Lord, S. Geedipally, L. Wu, and R. Wunderlich. (2020) Investigating Factors That Contributed to the Large Reduction and Subsequent Increase in Roadway Fatalities in the United States between 2005 and 2016. Presented at the 99th TRB Annual Meeting (Poster Session).

       Wu, L., Y. Meng, X. Kong and Y. Zou. (2019) A Novel Approach for Estimating Crash Modification Factors: Jointly Modeling Crash Counts and Time Intervals between Crashes. Presented at the 98th TRB Annual Meeting (Poster Session).

       Guo, X., L. Wu, Y. Zou, and L. Fawcett. (2019) A Comparative Analysis of Empirical Bayes and Bayesian Hierarchical Models in Hotspot Identification. Presented at the 98th TRB Annual Meeting (Lectern Session).

       Pratt, M., S. Geddipally, B. Dadashova, L. Wu, and M Shirazi. (2019) Familiar versus Unfamiliar Drivers on Curves: A Naturalistic Data Study. Presented at the 98th TRB Annual Meeting (Lectern Session).

       Wu, L., S. Geedipally, and Pike A. (2018) Safety Evaluation of Alternative Audible Lane Departure Warning Treatments in Reducing Traffic Crashes: An Empirical Bayes Observational Before每After Study. Presented at the 97th TRB Annual Meeting (Poster Session).

       Wu, L., B. Dadashova, S. Geddipally, Pratt, M., and M Shirazi. (2018) Assessing Curve Severity and Crash Rates at Horizontal Curves on Rural Two-Lane Highways Using SHRP 2 Safety Data. Presented at the 97th TRB Annual Meeting (Lectern Session).

       Yang, X., Y. Zou, L. Wu, and Y. Wang. (2018) Modeling Animal每Vehicle Collisions Using Empirical Bayes Method Based on the Negative Binomial Models. Presented at the 97th TRB Annual Meeting (Poster Session).

       Pratt, M., S. Geedipally, B. Dadashova, L. Wu, and M Shirazi. (2018) Validating Curve Speed Prediction Models Using Naturalistic Data. Presented at the 97th TRB Annual Meeting (Poster Session).

       Flannagan. C., R. Wunderlich, S. Geedipally, D. Lord, L. Wu, and D. Blower. (2018) Using Crash Prediction Models with Economic Factors for State Highway Safety Planning. Presented at the 97th TRB Annual Meeting (Poster Session).

       Dadashova B., L. Wu, and K. Dixon. (2018) Evaluating the Impact of Rumble Strips on Fatal and Injury Freeway Crashes. Presented at the 97th TRB Annual Meeting (Poster Session).

       Wu, L., D. Lord, and S Geedipally. (2017) Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways using a Cross-Sectional Study. Presented at the 96th TRB Annual Meeting (Poster Session).

       Ko, M., L. Wu, and T, Walden. (2017) Comparative Analysis of Fatal Crashes in Texas Versus California and Implications for Traffic Safety Improvement. Presented at the 96th TRB Annual Meeting (Poster Session).

       Wu, L., and D. Lord. (2016) Investigating the Influence of Dependence between Variables on Crash Modification Factors Developed using Regression Models. Presented at the 95th TRB Annual Meeting (Poster Session).

       Wu, L. (2016) Examining the Use of Regression Models for Developing Crash Modification Factors. Presented at the 95th TRB Annual Meeting (Lectern Session).

       Wu, L., D. Lord, and Y. Zou. (2015) Validation of CMFs Derived from Cross-Sectional Studies with Regression Models. Presented at the 94th TRB Annual Meeting (Poster Session). (Young Researcher Paper Award 每 TRB Committee ANB20).

       Ko, M., Park, B., Wu, L., and T. Walden. (2015) Exploring the Relationship between Driver Errors and Age in Vehicle Crash Data. Presented at the 94th TRB Annual Meeting (Poster Session).

       Wu, L. (2015) Validation of CMFs Derived from Cross-Sectional Studies with Regression Models. Presented at the 2015 Traffic Safety Conference.

       Wu, L., Y. Zou, and D. Lord. (2014) Comparison of Sichel and Negative Binomial Models in Hotspot Identification. Presented at the 93rd TRB Annual Meeting (Lectern Session).

       Wu, L. (2014) A Study on Intersection Functional Area Using GIS. Presented at the 2014 Traffic Safety Conference.

       Wu, L., F. Li, D. Peng. (2011). Study on Traffic Safety Classification of Highway Intersection Based on Traffic Accidents. Proceeding of the 1st International Conference on Transportation Information and Safety (Lectern Session).

       Wu, L., D. Peng, G. Shen, and C. Tang. (2010) Research on Characteristic of Traffic Accidents at Highway Intersections. Proceedings of the 8th International Forum of Automotive Traffic Safety (Lectern Session).

 

 

Useful and Interesting Links:

       Interactive Risk Map in the Beaumont District: http://people.tamu.edu/~wulingtao/BMT_Risk_Map/index.html Please email for credentials.

       Speeding Crashes: . Please email for credentials.