Update README.md

Accurately modeling microscopic driving behaviors under complex road geometries relies heavily on high-fidelity trajectory datasets. Type-A short weaving segments are typical traffic bottlenecks characterized by intense vehicle conflicts and coexisting discretionary/mandatory lane-changing behaviors, and have therefore long attracted broad. However, no open-source dataset specifically designed for such areas is available, which greatly restricts the validation of microscopic models in these extreme environments. To address this gap, this paper intro-duces U-EASWS, a UAV-based vehicle trajectory dataset for urban expressway Type-A short weaving segments, enriched with comprehensive interaction and risk semantic annotations across seven typical scenarios in Changchun, China. Processed via a standardized automated pipeline, U-EASWS provides three core components: (i) high-fidelity continuous trajectories extracted via a fine-tuned YOLOv8 model and reconstructed using PCHIP interpolation and sEMA filtering with verified physical consistency; (ii) synchronized surrogate safety measures (TTC, PET, and DRAC) for multi-dimensional risk assessment; and (iii) spatial interaction and intensity semantics grounded in proximity resistance theory to capture complex multi-vehicle game dynamics. Technical validation confirms the dataset’s high fidelity by: (i) achieving ex-ceptional vehicle detection accuracy and identity stability under dense traffic conditions; (ii) effectively eliminating pixel jitter and tracking noise to yield smooth, physically consistent ve-hicle kinematics; and (iii) successfully capturing volatile driving behaviors under high spatial pressure, uncovering complex multi-vehicle game dynamics unaddressed by conventional metrics. In summary, U-EASWS provides a multilayer semantic benchmark with empirical support for various microscopic driving behavior models in Type-A short weaving segments.

README.md

@@ -1,3 +1,14 @@
 ---
 license: cc-by-4.0
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+language:
+- en
+tags:
+- >-
+  Dataset, Expressway weaving segments, Vehicle trajectory, UAV, Semantic
+  annotation
+pretty_name: >-
+  U-EASWS: An Urban Expressway Type-A Short Weaving Segment UAV Vehicle
+  Trajectory Dataset Integrated with Interaction and Risk Semantic Annotations
+size_categories:
+- 10B<n<100B
+---