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International Journal of Intelligent Transportation Systems Research最新文献

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Derivation of Disrupted Multi-Link Combinations to Increase Detour Time: A Stem of Path Approach 推导中断的多线路组合以增加绕行时间:路径干法
IF 2.1 Q3 Neuroscience Pub Date : 2023-11-24 DOI: 10.1007/s13177-023-00377-x
Michiki Akioka, Soma Sasaki, Satoshi Sugiura
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引用次数: 0
Effective Semantic Video Classification Model for Driverless Car 面向无人驾驶汽车的有效语义视频分类模型
Q3 Neuroscience Pub Date : 2023-11-13 DOI: 10.1007/s13177-023-00370-4
Sujata Jagtap, Sudhir Kanade
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引用次数: 0
Direction-Oriented Topic Modeling with Applications in Traffic Scene Analysis 面向方向主题建模及其在交通场景分析中的应用
Q3 Neuroscience Pub Date : 2023-11-09 DOI: 10.1007/s13177-023-00373-1
Parvin Ahmadi, Iman Gholampour
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引用次数: 0
Real-Time Traffic End-of-Queue Detection and Tracking in UAV Video 无人机视频中实时交通队列末端检测与跟踪
Q3 Neuroscience Pub Date : 2023-10-28 DOI: 10.1007/s13177-023-00374-0
Russ Messenger, Md Zobaer Islam, Matthew Whitlock, Erik Spong, Nate Morton, Layne Claggett, Chris Matthews, Jordan Fox, Leland Palmer, Dane C. Johnson, John F. O’Hara, Christopher J. Crick, Jamey D. Jacob, Sabit Ekin
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引用次数: 0
Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data 利用一年探测车辆数据探索空车行为
Q3 Neuroscience Pub Date : 2023-10-24 DOI: 10.1007/s13177-023-00372-2
Ryosuke Maeda, Takuya Maruyama
Abstract Examining empty truck behavior can be beneficial in developing an efficient and environmentally friendly logistics system. This study used probe vehicle data from April 2019 to March 2020 in Kyushu, Japan, to explore empty truck behavior. The results revealed a difference in the empty truck ratio across the day of the week, time of the day, and month and the trip distribution of empty and loaded trucks. A nonhierarchical cluster analysis was used to classify vehicles based on empty/loaded situations. These results can be potentially used to reduce the number of empty trucks and improve the efficiency of logistics systems.
摘要研究空车行为有助于建立高效、环保的物流系统。这项研究使用了2019年4月至2020年3月在日本九州的探测车辆数据,以探索空卡车的行为。结果显示,空卡车的比例在一周中的一天、一天中的时间、一个月以及空卡车和载货卡车的行程分布上存在差异。采用非分层聚类分析方法对车辆进行空载分类。这些结果可以潜在地用于减少空卡车的数量和提高物流系统的效率。
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引用次数: 0
Influence of Familiarization with a Driving Course Upon Driving Behaviors in a VR Driving Simulator and its Properties 熟悉驾驶课程对VR驾驶模拟器驾驶行为的影响及其特性
Q3 Neuroscience Pub Date : 2023-10-06 DOI: 10.1007/s13177-023-00369-x
Makio Ishihara, Xu Yuejun
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引用次数: 0
Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis 基于映射器的拓扑数据分析对驾驶乐趣与大脑活动关系的初步研究
Q3 Neuroscience Pub Date : 2023-10-04 DOI: 10.1007/s13177-023-00371-3
Shinsei Isojima, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa
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引用次数: 0
How to Distribute Charging Requests of Electronic Vehicles? A Reservation-based Approach 如何分配电动车的充电申请?基于预约的方法
Q3 Neuroscience Pub Date : 2023-09-27 DOI: 10.1007/s13177-023-00367-z
Mathias Eggert, Rene Kling
Abstract The number of electronic vehicles increase steadily while the space for extending the charging infrastructure is limited. In particular in urban areas, where parking spaces in attractive areas are famous, opportunities to setup new charging stations is very limited. This leads to an overload of some very attractive charging stations and an underutilization of less attractive ones. Against this background, the paper at hand presents the design of an e-vehicle reservation system that aims at distributing the utilization of the charging infrastructure, particularly in urban areas. By applying a design science approach, the requirements for a reservation-based utilization approach are elicited and a model for a suitable distribution approach and its instantiation are developed. The artefact is evaluated by simulating the distribution effects based on data of real charging station utilizations.
摘要:随着电动汽车数量的不断增加,充电基础设施的扩展空间有限。特别是在城市地区,在有吸引力的地区有停车位,建立新的充电站的机会非常有限。这导致一些非常有吸引力的充电站超载,而不那么有吸引力的充电站利用率不足。在此背景下,本文提出了一种电动汽车预订系统的设计,旨在分配充电基础设施的使用,特别是在城市地区。运用设计科学的方法,得出了基于保留的利用方法的需求,并建立了合适的分配方法模型及其实例。基于充电站实际利用率数据,通过模拟分布效果对人工智能进行评价。
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引用次数: 0
Road Asset Management and the Vehicles of the Future: An Overview, Opportunities, and Challenges 道路资产管理与未来车辆:概述、机遇与挑战
Q3 Neuroscience Pub Date : 2023-09-13 DOI: 10.1007/s13177-023-00366-0
Matheus Gomes Correia, Adelino Ferreira
Abstract Connected and automated vehicles (CAVs) have the potential to significantly impact transportation systems in terms of mobility, the environment, safety, and the economy. These vehicles rely on a range of sensors and cameras to detect road signs and lane markings, as well as to scan their surroundings, and they are connected to other vehicles and infrastructures. Previous research has highlighted the need for transport asset management processes to manage the intrinsic aspects of CAVs more effectively, with a view to improving performance, resource utilization, and budget planning. However, little literature was found with a deep discussion of how CAVs will impact asset management. In this article we offer an initial discussion on the impacts of CAVs on road asset management. To do so, we first provide a short introduction to CAVs, followed by an overview of road asset management. We then comprehensively discuss many asset management aspects that are affected by CAVs. Finally, future research opportunities, challenges, and important subjects are outlined.
联网和自动驾驶汽车(cav)有可能在移动性、环境、安全和经济方面对交通系统产生重大影响。这些车辆依靠一系列传感器和摄像头来检测道路标志和车道标记,以及扫描周围环境,并与其他车辆和基础设施相连。先前的研究强调了运输资产管理流程的必要性,以更有效地管理自动驾驶汽车的内在方面,以提高性能、资源利用率和预算规划。然而,很少有文献深入讨论cav将如何影响资产管理。本文对自动驾驶汽车对道路资产管理的影响进行了初步探讨。为此,我们首先对自动驾驶汽车进行了简短的介绍,然后对道路资产管理进行了概述。然后,我们将全面讨论受cav影响的许多资产管理方面。最后,概述了未来研究的机遇、挑战和重要课题。
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引用次数: 0
Development of Congestion Severity Index for Uncontrolled Median Openings Utilising Fundamental Traffic Parameters and Clustering Technique: A Case Study in India 基于基本交通参数和聚类技术的非受控中位数开口拥堵严重指数的发展:以印度为例
IF 2.1 Q3 Neuroscience Pub Date : 2023-08-30 DOI: 10.1007/s13177-023-00365-1
M. Mohanty, Bitati Sarkar, M. Pattanaik, S. Samal, Piotr Gorzelańczyk
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引用次数: 0
期刊
International Journal of Intelligent Transportation Systems Research
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