Journal of Intelligent Transportation Systems

Papers
(The H4-Index of Journal of Intelligent Transportation Systems is 17. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations83
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne38
Analysis on autonomous vehicle detection performance according to various road geometry settings34
Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles28
ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage26
A simulation-based testing framework for autonomous driving: ensuring realism and priority of test scenarios25
Heterogeneity assessment in incident duration modelling: Implications for development of practical strategies for small & large scale incidents25
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data25
A study toward driverless mobility acceptance in low-density areas19
Robust real-time traffic light detector on small-form platform for autonomous vehicles19
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” scenario19
Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles18
A self-enforced optimal framework for inter-platoon transfer in connected vehicles18
Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside18
Optimizing dedicated lanes and tolling schemes for connected and autonomous vehicles to address bottleneck congestion considering morning commuter departure choices17
Inferring the number of vehicles between trajectory-observed vehicles17
Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods17
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