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
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations33
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne33
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
Adaptive bidirectional spatial-temporal prediction model for traffic speed in large-scale road networks19
The mathematical algorithms for maintaining vehicle platoons in unpredictable situations19
Robust real-time traffic light detector on small-form platform for autonomous vehicles19
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
Inferring the number of vehicles between trajectory-observed vehicles16
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
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