# IEEE Transactions on Intelligent Transportation Systems

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-intelligent-transportation-systems/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1524-9050 |
| ISSNs | 1524-9050,1558-0016 |
| OpenAlex ID | https://openalex.org/S144771191 |
| Publisher | Institute of Electrical and Electronics Engineers |

## Journal papers

- [Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks](https://scholariq.org/papers/vision-based-semantic-segmentation-in-scene-understanding-for-autonomous-driving/)
- [A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks](https://scholariq.org/papers/a-probabilistic-approach-for-cooperative-computation-offloading-in-mec-assisted/)
- [A Graph-Based Temporal Attention Framework for Multi-Sensor Traffic Flow Forecasting](https://scholariq.org/papers/a-graph-based-temporal-attention-framework-for-multi-sensor-traffic-flow/)
- [Wearable Glove-Type Driver Stress Detection Using a Motion Sensor](https://scholariq.org/papers/wearable-glove-type-driver-stress-detection-using-a-motion-sensor/)
- [Towards 5G-Enabled Self Adaptive Green and Reliable Communication in Intelligent Transportation System](https://scholariq.org/papers/towards-5g-enabled-self-adaptive-green-and-reliable-communication-in-intelligent/)
- [Measurements and Analysis of Angular Characteristics and Spatial Correlation for High-Speed Railway Channels](https://scholariq.org/papers/measurements-and-analysis-of-angular-characteristics-and-spatial-correlation-for/)
- [LocJury: An IBN-Based Location Privacy Preserving Scheme for IoCV](https://scholariq.org/papers/locjury-an-ibn-based-location-privacy-preserving-scheme-for-iocv/)
- [Geometry-Based Multi-Link Channel Modeling for High-Speed Train Communication Networks](https://scholariq.org/papers/geometry-based-multi-link-channel-modeling-for-high-speed-train-communication/)
- [HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation](https://scholariq.org/papers/hspformer-hierarchical-spatial-perception-transformer-for-semantic-segmentation/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.