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 2021-08-01 to 2025-08-01.)
ArticleCitations
Analysis on autonomous vehicle detection performance according to various road geometry settings95
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations39
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne35
ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage30
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data29
A simulation-based testing framework for autonomous driving: ensuring realism and priority of test scenarios27
Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles26
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” scenario25
Robust real-time traffic light detector on small-form platform for autonomous vehicles24
Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside20
The mathematical algorithms for maintaining vehicle platoons in unpredictable situations19
Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods19
A self-enforced optimal framework for inter-platoon transfer in connected vehicles18
Inferring the number of vehicles between trajectory-observed vehicles18
Optimizing dedicated lanes and tolling schemes for connected and autonomous vehicles to address bottleneck congestion considering morning commuter departure choices17
Adaptive bidirectional spatial-temporal prediction model for traffic speed in large-scale road networks17
Dynamical systems approach for travel time prediction in intermediate section under mixed traffic conditions16
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