| Accident prediction accuracy assessment for highway-rail grade crossings using random forest algorithm compared with decision tree X Zhou, P Lu, Z Zheng, D Tolliver, A Keramati Reliability Engineering & System Safety 200, 106931, 2020 | 186 | 2020 |
| Commercial truck crash injury severity analysis using gradient boosting data mining model Z Zheng, P Lu, B Lantz Journal of safety research 65, 115-124, 2018 | 148 | 2018 |
| A review of car-following models and modeling tools for human and autonomous-ready driving behaviors in micro-simulation HU Ahmed, Y Huang, P Lu Smart Cities 4 (1), 314-335, 2021 | 109 | 2021 |
| Quantifying greenhouse gas emission of asphalt pavement preservation at construction and use stages using life-cycle assessment H Wang, I Al-Saadi, P Lu, A Jasim International Journal of Sustainable Transportation 14 (1), 25-34, 2020 | 72 | 2020 |
| Accident prediction model for public highway-rail grade crossings P Lu, D Tolliver Accident Analysis & Prevention 90, 73-81, 2016 | 72 | 2016 |
| Pavement treatment short-term effectiveness in IRI change using long-term pavement program data P Lu, D Tolliver Journal of transportation engineering 138 (11), 1297-1302, 2012 | 67 | 2012 |
| Technology developments and impacts of connected and autonomous vehicles: An overview HU Ahmed, Y Huang, P Lu, R Bridgelall Smart Cities 5 (1), 382-404, 2022 | 57 | 2022 |
| Decision tree approach to accident prediction for highway–rail grade crossings: Empirical analysis Z Zheng, P Lu, D Tolliver Transportation Research Record 2545 (1), 115-122, 2016 | 48 | 2016 |
| A deep learning approach for imbalanced crash data in predicting highway-rail grade crossings accidents L Gao, P Lu, Y Ren Reliability Engineering & System Safety 216, 108019, 2021 | 44 | 2021 |
| Prediction of bridge component ratings using ordinal logistic regression model P Lu, H Wang, D Tolliver Mathematical problems in engineering 2019 (1), 9797584, 2019 | 43 | 2019 |
| Analysis of bridge deterioration rates: A case study of the northern plains region D Tolliver, P Lu Journal of the Transportation Research Forum 50 (2), 87-100, 2011 | 41 | 2011 |
| Vehicle classification system using in-pavement fiber Bragg grating sensors Y Huang, P Lu, D Tolliver IEEE Sensors Journal 18 (7), 2807-2815, 2018 | 40 | 2018 |
| A Gradient Boosting Crash Prediction Approach for Highway‐Rail Grade Crossing Crash Analysis P Lu, Z Zheng, Y Ren, X Zhou, A Keramati, D Tolliver, Y Huang Journal of advanced transportation 2020 (1), 6751728, 2020 | 36 | 2020 |
| Railroad track condition monitoring using inertial sensors and digital signal processing: A review L Chia, B Bhardwaj, P Lu, R Bridgelall IEEE Sensors Journal 19 (1), 25-33, 2018 | 33 | 2018 |
| Geometric effect analysis of highway-rail grade crossing safety performance A Keramati, P Lu, D Tolliver, X Wang Accident Analysis & Prevention 138, 105470, 2020 | 32 | 2020 |
| Multiobjective pavement-preservation decision making with simulated constraint boundary programming P Lu, D Tolliver Journal of Transportation Engineering 139 (9), 880-888, 2013 | 31 | 2013 |
| Multi-objective optimization of pavement preservation strategy considering agency cost and environmental impact I Al-Saadi, H Wang, X Chen, P Lu, A Jasim International Journal of Sustainable Transportation 15 (11), 826-836, 2021 | 25 | 2021 |
| Comparing rail fuel efficiency with truck and waterway D Tolliver, P Lu, D Benson Transportation Research Part D: Transport and Environment 24, 69-75, 2013 | 25 | 2013 |
| Predicting highway–rail grade crossing collision risk by neural network systems Z Zheng, P Lu, D Pan Journal of Transportation Engineering, Part A: Systems 145 (8), 04019033, 2019 | 24 | 2019 |
| Impact of forest road maintenance policies on log transportation cost, routing, and carbon-emission trade-offs: Oregon case study A Keramati, P Lu, A Sobhani, SA Haji Esmaeili Journal of Transportation Engineering, Part A: Systems 146 (5), 04020028, 2020 | 22 | 2020 |
Raj BridgelallTechnology Executive and Principal Investigator, North Dakota State University在 ndsu.edu 的电子邮件经过验证
