Texas A&M Transportation Institute

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Texas A&M University美国20
2. Oregon State University美国3
3. Cleveland State University美国3
4. Deakin University澳大利亚3
5. Beijing Jiaotong University中国2
6. University of Seoul韩国2
7. University of Louisiana at Lafayette美国2
8. University of California, Berkeley美国2

按月发文

逐年被引

最新文献

1. 1
   Investigating the role of Advanced Driver Assistance Systems (ADAS) in reducing sideswipe collisions in rural OhioJournal of Safety Research20260
2. 2
   Integrating pavement condition records with LLM-based crash narrative analysis for pavement safety assessmentAccident Analysis & Prevention20260
3. 3
   Assessing the importance of functional form selection in developing calibration functions for the highway safety manual predictive modelsJournal of Safety Research20251
4. 4
   Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley modelAccident Analysis & Prevention202515
5. 5
   Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value modelsAccident Analysis & Prevention202419
6. 6
   Assessing the collective safety of automated vehicle groups: A duration modeling approach of accumulated distances between crashesAccident Analysis & Prevention202415
7. 7
   Critical risks in global supply networks: A static structure and dynamic propagation perspectiveReliability Engineering & System Safety202340
8. 8
   Seeing through eyes of Drivers: Space consideration in investigating visibility of Vulnerable road users involved in crashes from Driver’s perspectiveAccident Analysis & Prevention202312
9. 9
   Using motor vehicle crash records for injury surveillance and research in agriculture and forestryJournal of Safety Research20233
10. 10
    Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithmAccident Analysis & Prevention202330

高被引文献

1. 1
   Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAPAccident Analysis & Prevention2021329
2. 2
   Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving dataAccident Analysis & Prevention2017208
3. 3
   Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factorsAccident Analysis & Prevention2021110
4. 4
   Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future researchAccident Analysis & Prevention2021105
5. 5
   Investigation on the wrong way driving crash patterns using multiple correspondence analysisAccident Analysis & Prevention2017100
6. 6
   Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approachAccident Analysis & Prevention202197
7. 7
   Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterialAccident Analysis & Prevention202194
8. 8
   Understanding speeding behavior from naturalistic driving data: Applying classification based association rule miningAccident Analysis & Prevention202082
9. 9
   Fatal pedestrian crashes at intersections: Trend mining using association rulesAccident Analysis & Prevention202181
10. 10
    A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash dataAccident Analysis & Prevention201677

主要发表期刊

研究主题