Articles with public access mandates - Raj BridgelallLearn more
Not available anywhere: 1
Evaluating the ride quality of unpaved roads using smartphones
X Yang, HU Ahmed, L Hu, R Bridgelall, L Chia, Y Huang, P Lu
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2020
Mandates: US Department of Transportation
Available somewhere: 38
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
Mandates: US Department of Transportation
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
Mandates: US Department of Transportation
Railroad accident analysis using extreme gradient boosting
R Bridgelall, DD Tolliver
Accident Analysis & Prevention 156, 106126, 2021
Mandates: US Department of Transportation
Weigh-In-Motion system in flexible pavements using fiber Bragg grating sensors part A: Concept
Y Huang, P Lu, R Bridgelall
IEEE Transactions on Intelligent Transportation Systems 21 (12), 5136-5147, 2019
Mandates: US National Science Foundation, US Department of Transportation
Characterising pavement roughness at non-uniform speeds using connected vehicles
R Bridgelall, J Hough, D Tolliver
International Journal of Pavement Engineering 20 (8), 958-964, 2019
Mandates: US Department of Transportation
Introducing an efficiency index to evaluate eVTOL designs
R Bridgelall, T Askarzadeh, DD Tolliver
Technological Forecasting and Social Change 191, 122539, 2023
Mandates: US Department of Transportation
Optimal system design for weigh-in-motion measurements using in-pavement strain sensors
Z Zhang, Y Huang, R Bridgelall, P Lu
IEEE sensors journal 17 (23), 7677-7684, 2017
Mandates: US National Science Foundation
Calibration of smartphone sensors to evaluate the ride quality of paved and unpaved roads
X Yang, L Hu, HU Ahmed, R Bridgelall, Y Huang
International Journal of Pavement Engineering 23 (5), 1529-1539, 2022
Mandates: US Department of Transportation
Enhancement of signals from connected vehicles to detect roadway and railway anomalies
R Bridgelall, LA Chia, B Bhardwaj, P Lu, DD Tolliver, N Dhingra
Measurement Science and Technology 31 (3), 035105, 2019
Mandates: US Department of Transportation
Effects of smartphone sensor variability in road roughness evaluation
HU Ahmed, L Hu, X Yang, R Bridgelall, Y Huang
International Journal of Pavement Engineering 23 (12), 4404-4409, 2022
Mandates: US Department of Transportation
Intelligent Transportation systems approach to railroad infrastructure performance evaluation: track surface abnormality identification with smartphone-based App
P Lu, R Bridgelall, D Tolliver, L Chia, B Bhardwaj, ...
Mountain Plains Consortium, 2019
Mandates: US Department of Transportation
Error sensitivity of the connected vehicle approach to pavement performance evaluations
R Bridgelall, MT Rahman, JF Daleiden, D Tolliver
International Journal of Pavement Engineering 19 (1), 82-87, 2018
Mandates: US Department of Transportation
Systematic literature review of drone utility in railway condition monitoring
T Askarzadeh, R Bridgelall, DD Tolliver
Journal of Transportation Engineering, Part A: Systems 149 (6), 04023041, 2023
Mandates: US Department of Transportation
Signal filter cut-off frequency determination to enhance the accuracy of rail track irregularity detection and localization
B Bhardwaj, R Bridgelall, L Chia, P Lu, N Dhingra
IEEE Sensors Journal 20 (3), 1393-1399, 2019
Mandates: US Department of Transportation
Wavelength sensitivity of roughness measurements using connected vehicles
R Bridgelall, MT Rahman, D Tolliver, JF Daleiden
International Journal of Pavement Engineering 20 (5), 566-572, 2019
Mandates: US Department of Transportation
Integrating Electric Vertical Takeoff and Landing Aircraft into Public Airspace: A Scenario Study
R Bridgelall, S White, D Tolliver
Future Transportation 3 (3), 1029-1045, 2023
Mandates: US Department of Transportation
Ranking risk factors in financial losses from railroad incidents: a machine learning approach
N Dhingra, R Bridgelall, P Lu, J Szmerekovsky, B Bhardwaj
Transportation research record 2677 (2), 299-309, 2023
Mandates: US Department of Transportation
Signal feature extraction and combination to enhance the detection and localization of railroad track irregularities
B Bhardwaj, R Bridgelall, P Lu, N Dhingra
IEEE Sensors Journal 21 (5), 6555-6563, 2020
Mandates: US Department of Transportation
Accuracy enhancement of roadway anomaly localization using connected vehicles
R Bridgelall, D Tolliver
International Journal of Pavement Engineering 19 (1), 75-81, 2018
Mandates: US Department of Transportation
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