OOIR: Observatory of International Research

Papers

(The H4-Index of Transportation Research Record is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.	83
Empirical Study on the Properties of Adaptive Cruise Control Systems and Their Impact on Traffic Flow and String Stability	67
Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning	66
Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control	59
Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact	58
COVID-19 Impact on Transport: A Paper from the Railways’ Systems Research Perspective	53
Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network	47
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting	39
Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas	38
Total Cost of Ownership Analysis of the Impact of Vehicle Usage on the Economic Viability of Electric Vehicles in India	36
Factors Influencing Willingness to Pool in Ride-Hailing Trips	34
Control Design, Stability Analysis, and Traffic Flow Implications for Cooperative Adaptive Cruise Control Systems with Compensation of Communication Delay	34
Investigating Market Potentials and Operational Scenarios of Virtual Coupling Railway Signaling	33
Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel	32
Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter	31
Performance of Machine Learning Algorithms in Predicting the Pavement International Roughness Index	30
Spatiotemporal Demand Prediction Model for E-Scooter Sharing Services with Latent Feature and Deep Learning	30
Machine Learning Approach for Flight Departure Delay Prediction and Analysis	29
Changes in Travel Behavior, Attitudes, and Preferences among E-Scooter Riders and Nonriders: First Look at Results from Pre and Post E-Scooter System Launch Surveys at Virginia Tech	29
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins	28
Integrating Supply and Demand Perspectives for a Large-Scale Simulation of Shared Autonomous Vehicles	28
Modeling Users’ Adoption of Shared Autonomous Vehicles Employing Actual Ridership Experiences	28
Exploring the Equity of Traditional and Ride-Hailing Taxi Services during Peak Hours	28
Vehicle Counting System using Deep Learning and Multi-Object Tracking Methods	27
Applying Bayesian Optimization for Calibration of Transportation Simulation Models	27

Establishing Face and Content Validity of a Survey to Assess Users’ Perceptions of Automated Vehicles	26
Pothole Mapping and Patching Quantity Estimates using LiDAR-Based Mobile Mapping Systems	26
Predicting Commercial Vehicle Parking Duration using Generative Adversarial Multiple Imputation Networks	26