Journal of Intelligent Transportation Systems

Papers
(The H4-Index of Journal of Intelligent Transportation Systems is 15. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A real-time mixed autonomy traffic signal optimization model for Continuous Flow Intersections39
Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne39
A simulation-based testing framework for autonomous driving: ensuring realism and priority of test scenarios36
ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage36
Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles33
Optimal lane-based pre-timed signal timing with sub-cycles for maximal capacity at an isolated intersection29
Optimization of hard shoulder running on highways using multi-agent reinforcement learning considering emergency vehicles23
Robust real-time traffic light detector on small-form platform for autonomous vehicles23
Inferring the number of vehicles between trajectory-observed vehicles22
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” scenario22
Adaptive bidirectional spatial-temporal prediction model for traffic speed in large-scale road networks20
The mathematical algorithms for maintaining vehicle platoons in unpredictable situations20
Optimizing dedicated lanes and tolling schemes for connected and autonomous vehicles to address bottleneck congestion considering morning commuter departure choices19
Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following17
Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods17
Risky scooter riders pay more: a usage-based insurance study of a scooter risk-aware fingerprint model without privacy issues15
Road traffic attributes prediction using deep learning hybridization by the traffic fundamental diagram15
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