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Syst."],"published-print":{"date-parts":[[2025,6,30]]},"abstract":"<jats:p>Trajectory prediction is a crucial challenge in autonomous vehicle motion planning and decision-making techniques. However, existing methods face limitations in accurately capturing vehicle dynamics and interactions. To address this issue, this article proposes a novel approach to extracting vehicle velocity and acceleration, enabling the learning of vehicle dynamics and encoding them as auxiliary information. The VDI-LSTM model is designed, incorporating graph convolution and attention mechanisms to capture vehicle interactions using trajectory data and dynamic information. Specifically, a dynamics encoder is designed to capture the dynamic information, a dynamic graph is employed to represent vehicle interactions, and an attention mechanism is introduced to enhance the performance of LSTM and graph convolution. To demonstrate the effectiveness of our model, extensive experiments are conducted, including comparisons with several baselines and ablation studies on real-world highway datasets. Experimental results show that VDI-LSTM outperforms other baselines compared, which obtains a 3% improvement on the average RMSE indicator over the five prediction steps.<\/jats:p>","DOI":"10.1145\/3727342","type":"journal-article","created":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T15:57:44Z","timestamp":1743523064000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4570-2271","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"first","affiliation":[{"name":"School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8416-7534","authenticated-orcid":false,"given":"Shaorui","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1717-5785","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0448-739X","authenticated-orcid":false,"given":"Yuzhu","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6768-1483","authenticated-orcid":false,"given":"Jianqing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa Macao SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7761-1748","authenticated-orcid":false,"given":"Ben-guo","family":"He","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-8361","authenticated-orcid":false,"given":"Junxin","family":"Chen","sequence":"additional","affiliation":[{"name":"The School of Software, Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3392-0052","authenticated-orcid":false,"given":"Marwan","family":"Omar","sequence":"additional","affiliation":[{"name":"Information Technology and Management, Illinois Institute of Technology, Chicago, Illinois, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2601-9327","authenticated-orcid":false,"given":"Ali Kashif","family":"Bashir","sequence":"additional","affiliation":[{"name":"Manchester Metropolitan University, Manchester, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4952-699X","authenticated-orcid":false,"given":"Xiping","family":"Hu","sequence":"additional","affiliation":[{"name":"Guangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2025,6,11]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"US Department of Transportation. n.d. 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