Vehicle Lane Change Trajectory Learning and Prediction Model Considering Vehicle Interactions and Driving Styles in Highway Scene

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Sensor Networks Pub Date : 2023-01-01 DOI:10.1504/ijsnet.2023.10059941

Wanli Xu, Zhizhong Ding, Chenyu Song

引用次数: 0

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考虑车辆交互和驾驶风格的公路场景下车辆变道轨迹学习与预测模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

2.40

自引率

27.30%

发文量

期刊介绍： IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.