Progress in triboluminescence-based smart optical sensor system DO Olawale, T Dickens, WG Sullivan, OI Okoli, JO Sobanjo, B Wang Journal of Luminescence 131 (7), 1407-1418, 2011 | 177 | 2011 |
Use of a shared tuned mass damper (STMD) to reduce vibration and pounding in adjacent structures MM Abdullah, JH Hanif, A Richardson, J Sobanjo Earthquake engineering & structural dynamics 30 (8), 1185-1201, 2001 | 110 | 2001 |
Resilience of regional transportation networks subjected to hazard-induced bridge damages R Twumasi-Boakye, JO Sobanjo Journal of Transportation Engineering, Part A: Systems 144 (10), 04018062, 2018 | 79 | 2018 |
Comparison of Markov chain and semi-Markov models for crack deterioration on flexible pavements O Thomas, J Sobanjo Journal of Infrastructure Systems 19 (2), 186-195, 2013 | 79 | 2013 |
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives P Singh, J Pasha, R Moses, J Sobanjo, EE Ozguven, MA Dulebenets Reliability Engineering & System Safety 220, 108296, 2022 | 75 | 2022 |
Prediction of the crack condition of highway pavements using machine learning models S Inkoom, J Sobanjo, A Barbu, X Niu Structure and Infrastructure Engineering 15 (7), 940-953, 2019 | 74 | 2019 |
State transition probabilities in bridge deterioration based on Weibull sojourn times JO Sobanjo Structure and Infrastructure Engineering 7 (10), 747-764, 2011 | 74 | 2011 |
Pavement Crack Rating Using Machine Learning Frameworks: Partitioning, Bootstrap Forest, Boosted Trees, Naïve Bayes, and K-Nearest Neighbors S Inkoom, J Sobanjo, A Barbu, X Niu Journal of Transportation Engineering, Part B: Pavements 145 (3), 04019031, 2019 | 65 | 2019 |
Reliability-based modeling of bridge deterioration hazards J Sobanjo, P Mtenga, M Rambo-Roddenberry Journal of Bridge Engineering 15 (6), 671-683, 2010 | 56 | 2010 |
A neural network approach to modeling bridge deterioration JO Sobanjo Computing in Civil Engineering, 623-626, 1997 | 56 | 1997 |
Accident and hazard prediction models for highway–rail grade crossings: a state-of-the-practice review for the USA OF Abioye, MA Dulebenets, J Pasha, M Kavoosi, R Moses, J Sobanjo, ... Railway engineering science 28, 251-274, 2020 | 52 | 2020 |
Causative factors and trends in Florida pedestrian crashes LK Spainhour, IA Wootton, JO Sobanjo, PA Brady Transportation research record 1982 (1), 90-98, 2006 | 51 | 2006 |
Development of a triboluminescence-based sensor system for concrete structures DO Olawale, G Sullivan, T Dickens, S Tsalickis, OI Okoli, JO Sobanjo, ... Structural Health Monitoring 11 (2), 139-147, 2012 | 50 | 2012 |
Civil infrastructure resilience: state-of-the-art on transportation network systems R Twumasi-Boakye, J Sobanjo Transportmetrica A: transport science 15 (2), 455-484, 2019 | 41 | 2019 |
Florida DOT project-level bridge management models PD Thompson, JO Sobanjo, R Kerr Journal of Bridge Engineering 8 (6), 345-352, 2003 | 39 | 2003 |
Enhancement of the FDOT's project level and network level bridge management analysis tools JO Sobanjo, PD Thompson Florida. Department of Transportation. Research Center, 2011 | 38 | 2011 |
Semi-Markov models for the deterioration of bridge elements O Thomas, J Sobanjo Journal of Infrastructure Systems 22 (3), 04016010, 2016 | 37 | 2016 |
Assessment of traffic performance measures and safety based on driver age and experience: A microsimulation based analysis for an unsignalized T-intersection MB Ulak, EE Ozguven, R Moses, T Sando, W Boot, Y AbdelRazig, ... Journal of traffic and transportation engineering (English edition) 6 (5 …, 2019 | 35 | 2019 |
DEVELOPMENT OF AGENCY MAINTENANCE, REPAIR & REHABILITATION (MR&R) COST DATA FOR FLORIDA'S BRIDGE MANAGEMENT SYSTEM JO Sobanjo, PD Thompson | 32 | 2001 |
Facility life-cycle cost analysis based on fuzzy sets theory. JO Sobanjo Eighth International Conference on Durability of Building Materials and …, 1999 | 31 | 1999 |