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 2022-05-01 to 2026-05-01.)
ArticleCitations
A real-time mixed autonomy traffic signal optimization model for Continuous Flow Intersections39
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data36
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne36
ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage34
A simulation-based testing framework for autonomous driving: ensuring realism and priority of test scenarios32
Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles28
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
Optimization of hard shoulder running on highways using multi-agent reinforcement learning considering emergency vehicles22
Robust real-time traffic light detector on small-form platform for autonomous vehicles22
Inferring the number of vehicles between trajectory-observed vehicles21
Road traffic attributes prediction using deep learning hybridization by the traffic fundamental diagram20
Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following18
Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside18
Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods18
The mathematical algorithms for maintaining vehicle platoons in unpredictable situations18
Optimizing dedicated lanes and tolling schemes for connected and autonomous vehicles to address bottleneck congestion considering morning commuter departure choices16
0.29689908027649