IEEE Open Journal of Intelligent Transportation Systems最新文献_第9页

IEEE OPEN JOURNAL OF THE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY IEEE 智能交通系统学会公开期刊

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-05 DOI: 10.1109/OJITS.2023.3339042

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IEEE Open Journal of Intelligent Transportation Systems Instructions for Authors IEEE 智能交通系统开放式期刊作者须知

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-05 DOI: 10.1109/OJITS.2023.3339044

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Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts? 耦合驾驶模拟器中的人类并线行为：我们如何解决冲突？

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-04 DOI: 10.1109/OJITS.2024.3349635

Olger Siebinga;Arkady Zgonnikov;David A. Abbink

{"title":"Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts?","authors":"Olger Siebinga;Arkady Zgonnikov;David A. Abbink","doi":"10.1109/OJITS.2024.3349635","DOIUrl":"https://doi.org/10.1109/OJITS.2024.3349635","url":null,"abstract":"Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting drivers. Besides that, researchers have no control over the vehicle kinematics (i.e., positions and velocities) at the start of the interactions. Therefore the relationship between initial kinematics and the outcome of the interaction is difficult to investigate. To address these gaps, we conducted an experiment in a coupled driving simulator with a simplified, top-down view, merging scenario with two vehicles. We found that kinematics can explain the outcome (i.e., which driver merges first) and the duration of the merging conflict. Furthermore, our results show that drivers use key decision moments combined with constant acceleration inputs (intermittent piecewise-constant control) during merging. This indicates that they do not continuously optimise their expected utility. Therefore, these results advocate the development of interaction models based on intermittent piecewise-constant control. We hope our work can contribute to this development and to the fundamental knowledge of interactive driver behaviour.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"103-114"},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10380755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Modelling and Investigating User Acceptance of Highly Automated Passenger Vehicles 关于高度自动化客运车辆的建模和用户接受度调查

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-25 DOI: 10.1109/OJITS.2023.3346477

Ilias E. Panagiotopoulos;George J. Dimitrakopoulos;Gabriele Keraite

{"title":"On Modelling and Investigating User Acceptance of Highly Automated Passenger Vehicles","authors":"Ilias E. Panagiotopoulos;George J. Dimitrakopoulos;Gabriele Keraite","doi":"10.1109/OJITS.2023.3346477","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3346477","url":null,"abstract":"Highly automated passenger vehicles hold great potential to alleviate traffic congestion, enhance road safety, and revolutionize the travel journey. However, while much attention has been given to the technical aspects of this technology, the investigation of public acceptance remains crucial for successful implementation in the global market. To address this gap, this paper introduces innovative research that explores the predictors influencing consumers’ intention to adopt highly automated passenger vehicles. Through an online questionnaire-based survey conducted among European adults, we extend the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to incorporate three additional constructs: perceived reliability/trust, perceived financial cost, and perceived driving enjoyment. The key findings of this study underscore the significance of driving enjoyment, financial cost, social influences, and reliability/trust as influential predictors of consumers’ intention to adopt highly automated passenger vehicles. By considering these factors, automotive stakeholders can gain valuable insights to develop effective strategies and approaches for the successful implementation of highly automated passenger vehicles in the near future. Last, its innovations pave the way for a transformative shift in transportation, enabling the realization of safer, more efficient, and enjoyable travel experiences for individuals and society as a whole.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"70-84"},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10373556","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139434817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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How Will the Railway Look Like in 2050? A Survey of Experts on Technologies, Challenges and Opportunities for the Railway System 2050 年的铁路将会怎样？关于铁路系统的技术、挑战和机遇的专家调查

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-25 DOI: 10.1109/OJITS.2023.3346534

Michael Nold;Francesco Corman

{"title":"How Will the Railway Look Like in 2050? A Survey of Experts on Technologies, Challenges and Opportunities for the Railway System","authors":"Michael Nold;Francesco Corman","doi":"10.1109/OJITS.2023.3346534","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3346534","url":null,"abstract":"The railway system can fulfil society’s current and future transportation goals; compared to other transport modes, it does that with high energy, space and resource efficiency. It can deliver high-quality transport services, superior speed, safety and comfort to most competing modes. Nevertheless, its share of the total traffic is often relatively small. This study examines new technologies, their challenges and opportunities for the railway system to understand possible futures of the railway systems, allowing it to prepare ahead of time to prepare and exploit its competitive strengths and possible technological developments. In this paper, we report on multi-stage interviews of 30 experts concerning a holistic technological view of the railway system. The surveyed experts reported on perspectives from the railway operator, industry and research from Switzerland and Europe. The outcomes were categorized into supply, operation and technology aspects and evaluated by their potential for improvement, system impact of the changes, time horizon of possible implementation, and effects on modal shift. The results show that many aspects contribute to the further development of the technologies, but no single game changer could be identified. Developments are expected in automation; revolutionary changes are perceived as unlikely.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"85-102"},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10373408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139473768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps 匝道上 CAV 协同驾驶问题中公平与效率的理论权衡

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-19 DOI: 10.1109/OJITS.2023.3344216

Zimin He;Huaxin Pei;Yuqing Guo;Danya Yao;Li Li

{"title":"Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps","authors":"Zimin He;Huaxin Pei;Yuqing Guo;Danya Yao;Li Li","doi":"10.1109/OJITS.2023.3344216","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3344216","url":null,"abstract":"Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate road resources and improve the travel experience. In this paper, we focus on the fairness concerns in the on-ramp cooperative driving problem. First, we note that enhancing traffic efficiency usually leads to unfairness, but we propose solutions to balance both aspects. Using the fundamental relation in traffic flow theory, we illustrate the existence of the trade-off at congested on-ramps. We then make some modifications to the cooperative driving strategies to incorporate fairness considerations. Simulation results show that the modified strategies achieve trade-offs in agreement with the theoretical one, laying the foundation for implementing the trade-off in real-world scenarios. These findings are enlightening for the increasing research on fairness issues in cooperative driving, and contribute to the optimization of traffic management strategies.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"41-54"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10365497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139406730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Detection Rate of Congestion Patterns Comparing Multiple Traffic Sensor Technologies 比较多种交通传感器技术的拥堵模式检测率

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-13 DOI: 10.1109/OJITS.2023.3341631

Lisa Kessler;Klaus Bogenberger

{"title":"Detection Rate of Congestion Patterns Comparing Multiple Traffic Sensor Technologies","authors":"Lisa Kessler;Klaus Bogenberger","doi":"10.1109/OJITS.2023.3341631","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3341631","url":null,"abstract":"This paper investigates the detection rate of various freeway congestion patterns and compares them across different traffic sensor technologies. Congestion events can be categorized into multiple types, ranging from short traffic disruptions (referred to as Jam Wave) to Stop and Go patterns and severe congestion scenarios like Wide Jam. We analyze multiple traffic data sets, including speed data from loop detectors, travel time measurements from Bluetooth sensors, and floating car data (FCD) collected from probe vehicles. Each combination of congestion pattern and detection technology is thoroughly examined and evaluated in terms of its capability and suitability for identifying specific traffic congestion patterns. For our experimental site, we selected the freeway A9 in Germany, which spans a length of \u0000<inline-formula> <tex-math>$mathrm {157~km}$ </tex-math></inline-formula>\u0000. Our findings reveal that Bluetooth sensors, which record travel times between two locations, are barely suited for detecting short traffic incidents such as Jam Waves due to their downstream detection direction, contrasting with the upstream congestion propagation. Segment-based speed calculations prove more effective in identifying significant congestion events. FCD tend to recognize Stop and Go patterns more frequently than loop detectors but often underestimate severe congestion due to their sensitivity to penetration rates and data availability.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"29-40"},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10356725","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139406710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding 利用联网车辆轨迹数据评估超速的影响

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-12 DOI: 10.1109/OJITS.2023.3341962

Jorge Ugan;Mohamed Abdel-Aty;Zubayer Islam

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Fast Bidirectional Motion Planning for Self-Driving General N-Trailers Vehicle Maneuvering in Narrow Space 自驾车辆在狭窄空间内操纵 N 型普通拖车时的快速双向运动规划

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-07 DOI: 10.1109/OJITS.2023.3340174

Hanyang Zhuang;Qiyue Shen;Yeqiang Qian;Wei Yuan;Chunxiang Wang;Ming Yang

{"title":"Fast Bidirectional Motion Planning for Self-Driving General N-Trailers Vehicle Maneuvering in Narrow Space","authors":"Hanyang Zhuang;Qiyue Shen;Yeqiang Qian;Wei Yuan;Chunxiang Wang;Ming Yang","doi":"10.1109/OJITS.2023.3340174","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3340174","url":null,"abstract":"Self-driving General N-trailers (GNT) vehicles are one of the future solutions to build intelligent factory due to its flexibility and large load. Maneuvering of GNT vehicle to its destination requires accurate and robust motion planning. But the narrow operating environment causes nonlinear nonconvex constraints which are challenging. Furthermore, the nonholonomic constraints in GNT kinematics elevate the complexity in state space. Therefore, motion planning of GNT vehicle maneuvering in narrow space within a reasonable time and high success rate is a critical problem. This paper proposes a fast bidirectional motion planning algorithm to generate trajectories for GNT vehicles to maneuver in a narrow space. A coarse-to-fine motion planning paradigm has been proposed to balance the robustness and time. In the coarse step, an initial guess is generated through a bidirectional-sampled closed-loop Rapidly-exploring Random Tree, and a spatial-temporal safety corridor has been constructed to convert nonlinear nonconvex constraints to linear convex constraints. In the fine step, an optimal control problem is defined accordingly and solved to obtain feasible trajectory. Four different scenarios have been conducted with forward and reverse GNT vehicle maneuvering in a narrow environment. The results show that the proposed method outperforms state-of-the-art sampling-based and optimization-based motion planning methods.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"4 ","pages":"989-999"},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10347483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139060212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Digital Twinning From Vehicle Usage Statistics for Customer-Centric Automotive Systems Engineering 根据车辆使用统计数据进行数字孪生，打造以客户为中心的汽车系统工程

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2023-12-05 DOI: 10.1109/OJITS.2023.3339430

Kunxiong Ling

{"title":"Digital Twinning From Vehicle Usage Statistics for Customer-Centric Automotive Systems Engineering","authors":"Kunxiong Ling","doi":"10.1109/OJITS.2023.3339430","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3339430","url":null,"abstract":"Towards customer-centric automotive systems engineering, it is essential to incorporate physical models and vehicle usage behavior into decision support systems (DSSs). Such DSSs tend to apply digital twin concepts, where simulations are parameterized with fine-grained time-series data acquired from customer fleets. However, logging vast amounts of data from customer fleets is costly and raises privacy concerns. Alternatively, these time-series data can be aggregated into vehicle usage statistics. The feasibility of creating digital twins from these vehicle usage statistics and the corresponding DSSs for systems engineering is yet to be established. This paper aims to demonstrate this feasibility by proposing a DSS framework that integrates four key elements of digital twinning: aggregate usage statistics from customer fleets, logging data from testing fleets, physical models for vehicle simulation, and evaluation models to derive decision support metrics. The digital twinning involves a four-step process: pre-processing, profiling, simulation, and post-processing. Based on a real-world fleet of 57110 vehicles and four evaluation metrics, a proof of concept is conducted. Results show that the digital twin covers the evaluation metrics of 99% of the vehicles and reaches an average fleet twinning accuracy of 91.09%, which indicates the feasibility and plausibility of the proposed DSS framework.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"4 ","pages":"966-978"},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10342795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139034193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0