A data driven approach to urban area delineation using multi source geospatial data by Chenyu Fang, Lin Zhou, Xinyue Gu, Xing Liu, Martin Werner

“…Abstract This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision and methodology compared to traditional approaches that rely on simplistic OpenStreetMap (OSM) road node data aggregations. By employing a broad array of OSM categories and refining data selection through feature engineering, our research significantly enhances the precision and relevance of urban clustering. …”
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Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics by ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou

“…A node refinement strategy based on the cognitive properties of human drivers is designed between the feature aggregator and the decoder by selectively traversing the lane graph in order to identify key road node features. The extracted important nodes are finally used for multimodal trajectory decoding after counterfactual reasoning. …”
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Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization by Qiong Bao, Minghao Gao, Jianming Chen, Xu Tan

“…Then, a user charging decision-making method based on fuzzy logic inference is proposed, which uses the fuzzy membership degree of influencing factors to calculate the charging probability of users at each road node. The travel and charging behavior of large-scale users are then simulated to predict the spatiotemporal distribution of charging demand. …”
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Dynamic Analysis of a Vehicle–Bridge System Under Excitation of Random Road Irregularities by Yue Zhang, Jiali Duan, Yongdou Liu, Zhidong Chen, Yangui Su, Shanyong Liu

“…The coupling element consists of a wheel node and all potential road nodes on the bridge surface that the wheel may traverse. …”
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The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM by Fan Hou, Yue Zhang, Xinli Fu, Lele Jiao, Wen Zheng

“…The high-order neighborhood of road nodes is also fully considered instead of only extracting features from first-order neighbor nodes. …”
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