Journal of Intelligent Transportation Systems

Papers
(The H4-Index of Journal of Intelligent Transportation Systems is 16. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A real-time mixed autonomy traffic signal optimization model for Continuous Flow Intersections37
Analysis on autonomous vehicle detection performance according to various road geometry settings35
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne33
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations33
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data30
ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage29
A simulation-based testing framework for autonomous driving: ensuring realism and priority of test scenarios28
Handling inevitable collision states by Advanced Driver Assistance Systems functions: software-in-the-loop performance assessment of an injury risk-based logic in a “lane departure” scenario23
Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles23
Optimization of hard shoulder running on highways using multi-agent reinforcement learning considering emergency vehicles21
The mathematical algorithms for maintaining vehicle platoons in unpredictable situations19
Robust real-time traffic light detector on small-form platform for autonomous vehicles19
Adaptive bidirectional spatial-temporal prediction model for traffic speed in large-scale road networks19
Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following18
Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods17
Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside16
Road traffic attributes prediction using deep learning hybridization by the traffic fundamental diagram16
Inferring the number of vehicles between trajectory-observed vehicles16
0.068704128265381