Evaluation of drivers' interaction ability at social scenarios: a process-based framework

IF 3.3 2区 工程技术 Q2 TRANSPORTATION
Jiaqi Liu, Peng Hang, Xiangwang Hu, Jian Sun
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引用次数: 0

Abstract

Assessing drivers' interaction capabilities is crucial for understanding human driving behaviour and enhancing the interactive abilities of autonomous vehicles. In scenarios involving strong intera...
评估驾驶员在社交场景中的互动能力:基于过程的框架
评估驾驶员的交互能力对于理解人类驾驶行为和提高自动驾驶汽车的交互能力至关重要。在涉及强烈交互的场景中,驾驶员的交互能力是至关重要的。
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来源期刊
Transportmetrica B-Transport Dynamics
Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
5.00
自引率
21.40%
发文量
53
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.
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