A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory
文献类型：期刊论文
| 作者 | Li, Wenli1; Zhang, Yinan1; Li, Lingxi2; Lv, Yisheng3,4,5 ; Wang, Mengxin1
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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| 出版日期 | 2024-05-22 |
| 页码 | 16 |
| 关键词 | Right-turn intersections pedestrian trajectory prediction pedestrian-vehicle interaction game theory social-generative adversarial network |
| ISSN号 | 1524-9050 |
| DOI | 10.1109/TITS.2024.3398648 |
| 通讯作者 | Li, Lingxi(LL7@iupui.edu) |
| 英文摘要 | This paper aims to propose a pedestrian trajectory prediction model based on pedestrian-vehicle game theory to study pedestrian trajectories during pedestrian-vehicle interaction at unsignalized right-turn intersections. First, pedestrian-vehicle interaction scene data at unsignalized right-turn intersections were collected. Then, a novel pedestrian-vehicle game theory model was established, where its parameters were calibrated using the Nash equilibrium of a complete information static game and the probabilities of pedestrians and vehicles crossing the street. A new pedestrian-vehicle game utility matrix is embedded into the social-generative adversarial network pedestrian trajectory prediction model, which considers information between pedestrians and vehicles and analyzes the state of pedestrian-vehicle-interactions under various decisions through microscopic motion factors and macroscopic game decisions. The experimental results show that the proposed model is more accurate and explanatory than traditional pedestrian trajectory prediction models, such as long short-term memory (LSTM), Social LSTM, Social generative adversarial network(S-GAN), and Sophie. |
| 资助项目 | Science and Technology Innovation Key Research and Development Program of Chongqing |
| WOS研究方向 | Engineering ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001230781300001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Science and Technology Innovation Key Research and Development Program of Chongqing |
| 源URL | [http://ir.ia.ac.cn/handle/173211/58464]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Li, Lingxi |
| 作者单位 | 1.Chongqing Univ Technol, Key Lab Adv Mfg Technol Automobile Parts, Int Joint Lab Intelligent Mfg Control Key Parts En, Minist Educ, Chongqing 400050, Peoples R China 2.Indiana Univ Purdue Univ Indianapolis, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA 3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 4.Shandong Jiaotong Univ, Shandong Key Lab Smart Transportat Preparat, Jinan 250353, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Wenli,Zhang, Yinan,Li, Lingxi,et al. A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024:16. |
| APA | Li, Wenli,Zhang, Yinan,Li, Lingxi,Lv, Yisheng,&Wang, Mengxin.(2024).A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,16. |
| MLA | Li, Wenli,et al."A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024):16. |
入库方式： OAI收割
来源：自动化研究所
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