高速公路上联网自动驾驶车辆的排序:一种微观模拟方法

IF 3.3 2区 工程技术 Q2 TRANSPORTATION Transportmetrica B-Transport Dynamics Pub Date : 2024-06-03 DOI:10.1080/21680566.2024.2360543
Laura Oriol, Margarita Martínez-Díaz, Seshadri Naik Moode, Marcel Sala, Francesc Soriguera
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引用次数: 0

摘要

互联自动驾驶车辆(CAV)的排队是一种前景广阔的合作驾驶策略,尤其适用于高速公路的不间断交通。本文介绍了一种微观模拟 ...
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Platooning of connected automated vehicles on freeways: a microsimulation approach
The platooning of connected automated vehicles (CAVs) is a promising cooperative driving strategy, especially suited for freeway uninterrupted traffic. This paper presents a microscopic simulation ...
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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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