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Assessment of NCHRP Report 350 Test Vehicles
Improved Truck Model for Roadside Safety Simulations: Part II-Suspension Modeling
Flared Energy-Absorbing Terminal Median Barrier
Improved Truck Model for Roadside Safety Simulations: Part I-Structural Modeling
Vehicle Impacts in V-Shaped Ditches
Automatic multi-vehicle tracking using video cameras: An improved CAMShift approach
Automatic multi-vehicle tracking using video cameras: An improved CAMShift approach
Effect of structural features in a distorting structure due to excavation-induced ground movements
Effect of structural features in a distorting structure due to excavation-induced ground movements
Investigating Pedestrian Risk Factors Leading to Pedestrian Fatalities in Kolkata City Roads
Identification of Bridge Scour Depth by Tracing Dynamic Behaviors of Superstructures
Identification of Bridge Scour Depth by Tracing Dynamic Behaviors of Superstructures
Causing Factors of Additional Settlement in High-Speed Railways in Korea
Causing Factors of Additional Settlement in High-Speed Railways in Korea
RSVRs based on Feature Extraction: A Novel Method for Prediction of Construction Projects’ Costs
RSVRs based on Feature Extraction: A Novel Method for Prediction of Construction Projects’ Costs
A Distributed Algorithm for Building Space Topology Matching
Smart Real-Time Vehicle Detection and Tracking System Using Road Surveillance Cameras
Evaluating Operational Features of Multilane Turbo Roundabouts with an Entropy Method
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Weak thruster fault detection for AUV based on Bayesian network and Hidden Markov model
Traffic Propagation in Road Network from a Data-Driven Analysis Perspective
Driver Behavior Performance at Freeway Exit Ramp Terminals: Investigation and Modeling
Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms
Analysis of Fracture Surface Morphology and Study of Seepage Diffusion Characteristics
Betweenness Centrality Measures as Potential Predictors of Crash Frequency