IEEE Open Journal of Intelligent Transportation Systems最新文献_第10页

Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment 在车载网络环境中使用机器学习技术和 HTM 算法进行故障预测和恢复

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-18 DOI: 10.1109/OJITS.2023.3347484

Salah Zidi;Bechir Alaya;Tarek Moulahi;Amal Al-Shargabi;Salim El Khediri

{"title":"Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment","authors":"Salah Zidi;Bechir Alaya;Tarek Moulahi;Amal Al-Shargabi;Salim El Khediri","doi":"10.1109/OJITS.2023.3347484","DOIUrl":"https://doi.org/10.1109/OJITS.2023.3347484","url":null,"abstract":"The amount of data available to vehicles has become very large in the vehicular networks’ environment. Failures that mislead real-time data from vehicle sensors and other devices have become massive, and the need for automated techniques that can analyze data to detect malicious sources has become paramount. The application of machine learning techniques in the environment of vehicular ad hoc networks (VANET) is very promising and is beginning to show results in terms of applications designed and articles published. These techniques are increasingly accessible and used intensively, as many researchers are working to detect anomalous data. However, there is no universal, effective technique so far that can detect all abnormal data and then recover it. This work is an effort in that direction. We propose a smart model that uses multiple machine-learning classification methods. Our contribution also relates to a study of the attributes of interest for the algorithm used during the detection phase, namely the hierarchical temporal memory algorithm (HTM). The packets exchanged by the vehicle are grouped in instant description windows. These windows are then analyzed to extract a set of attributes. These are linked to the properties of network traffic such as flow or latency. They are subject to the process of detecting anomalies and intrusions carried out thanks to the algorithm with HTM. We propose the performance of fault detection and recovery at the level of the fog layer. The obtained simulation results demonstrate the efficiency of the learning methods and HTM for the detection of defects and errors in the IoV.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"132-145"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10403965","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572603","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

2024 Editorial IEEE Open Journal of Intelligent Transportation Systems 2024 编辑 IEEE 智能交通系统开放式期刊

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-05 DOI: 10.1109/OJITS.2023.3348988

Jiaqi Ma

引用次数: 0

Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling 通过基于图形的时空建模分析共享单车使用情况

IEEE Open Journal of Intelligent Transportation Systems Pub Date : 2024-01-05 DOI: 10.1109/OJITS.2024.3350213

Dinh Viet Cuong;Vuong M. Ngo;Paolo Cappellari;Mark Roantree

{"title":"Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling","authors":"Dinh Viet Cuong;Vuong M. Ngo;Paolo Cappellari;Mark Roantree","doi":"10.1109/OJITS.2024.3350213","DOIUrl":"https://doi.org/10.1109/OJITS.2024.3350213","url":null,"abstract":"Bike sharing schemes can be used both to improve mobility around busy city routes but also to contribute to the fight against climate change. Optimization of the network in terms of station locations and routes is a focus for researchers, where usage can highlight the precise times at which bike availability is high in some areas and low in others. Locations for new stations are important for the expansion of the network, but spatio-temporal pattern analysis is required to accurately identify those locations. In other words, one cannot rely on spatial information nor temporal information in isolation, when making interpretations for the purpose of optimizing or expanding the network. In this research, a solution based on graph networks was developed to model activity in transport networks by exploiting properties and functions specific to graph databases. This generic approach adopts a broad series of analyses, comprising different levels of granularity and complexity, to enable better interpretation of network dynamics at a suitably granular level to help the optimization of transport networks. A large dataset provided by an electric bike company is used to address key research questions in both interpreting activity patterns and supporting network optimization.","PeriodicalId":100631,"journal":{"name":"IEEE Open Journal of Intelligent Transportation Systems","volume":"5 ","pages":"115-131"},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10382155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572602","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

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

引用次数: 0

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

引用次数: 0

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}

引用次数: 0

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}

引用次数: 0

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