A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory

doi:10.1109/TITS.2024.3398648

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory
	Li, Wenli 1; Zhang, Yinan 1; Li, Lingxi 2; Lv, Yisheng3,4,5 ; Wang, Mengxin 1
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2024-05-22
页码	16
通讯作者	Li, Lingxi(LL7@iupui.edu)
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.
关键词	Right-turn intersections pedestrian trajectory prediction pedestrian-vehicle interaction game theory social-generative adversarial network
DOI	10.1109/TITS.2024.3398648
收录类别	SCI
语种	英语
资助项目	Science and Technology Innovation Key Research and Development Program of Chongqing
项目资助者	Science and Technology Innovation Key Research and Development Program of Chongqing
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001230781300001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/58465
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
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.