利用时态融合变换器预测非车道驾驶行为的车辆轨迹

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2024-03-11 DOI:10.1080/21680566.2024.2326018

Kejun Long, Yi Fei, Lu Xing, Xin Pei, Danya Yao, Ou Zheng, Mohamed Abdel-Aty

引用次数: 0

摘要

没有车道标线的复杂路段无法约束车辆遵守车道规则。因此，车辆在这些路段经常表现出更加无序的快速横向移动（RLM）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Predicting vehicle trajectory of non-lane based driving behaviour with Temporal Fusion Transformer

Complex road sections without lane markings cannot constrain vehicles to follow the lane disciplines. As a result, vehicles often exhibit more disorderly rapid lateral movements (RLMs) in these are...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

5.00

自引率

21.40%

发文量

期刊介绍： Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.