Roadway Monitoring and Traffic Management Via Connected Autonomous Vehicles’ Data
PUBLICATION
H. Shokravi *, et al. In‐Fleet structural health monitoring of roadway bridges using connected andautonomous vehicles’ data,” Comput. Civ. Infrastruct. Eng., 2024. Q1. (IF: 8.5)
Shokravi H*, et al. Vehicle-assisted techniques for health monitoring of bridges. Sensors- SpecialIssue of: Advances in Sensing Systems for Assessment and Health Monitoring of TransportInfrastructures and Construction Materials Sensors 2020, 20(12), 3460; Q2. (IF: 3.847)
Shokravi H*, et al., A review on vehicle classification methods and the potential of using smartvehicle-assisted techniques. Sensors- Special Issue of: Vehicle State Estimation and Localization forAutonomous and Connected Vehicles Sensors 2020, 20(11), 3274; Q2. (IF: 3.847)
Shokravi H*, et al., Application of the Subspace-based Methods in Health Monitoring of the CivilStructures: A Systematic Review and Meta-analysis. Appl Sci 2020; 10:3607; Q2. (IF: 2.838)
Shokravi H*, et al. Health Monitoring of Civil Infrastructures by Subspace System IdentificationMethod: An Overview. Appl Sci 2020; 10:2786; Q2. (IF: 2.838)
Shokravi H*, et al. A Comparative Study of the Data-driven Stochastic Subspace Methods for HealthMonitoring of Structures: A Bridge Case Study. Appl Sci 2020; 10:3132. Q2. (IF: 2.838)
Su Fen, N., Shokravi, H., Bakhary, N., Padil, K. H., & Zainal Abidin, A. R. (2022). DistanceInsensitive Concrete Crack Detection with Controlled Blurriness Using a Convolutional NeuralNetwork. Civil Engineering Infrastructures Journal. Q4. (JCI: 0.16)
