2023 IEEE Vehicular Networking Conference (VNC)最新文献_第3页

Poster: Road Sensor Messages for V2X Scenarios 海报:用于V2X场景的道路传感器信息

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136282

Miguel Carvalhosa, João Almeida, J. Ferreira

引用次数: 0

Poster: Be Aware! V2X Closes the Gap to Late ADAS Intervention in Intersection Scenarios 海报:注意!V2X弥补了交叉口场景中ADAS后期介入的差距

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136286

Niklas Puller, Hendrik-Jörn Günther, Johannes Hartog, André Leschke, Jannes Eckart, Vittorio Rocco

引用次数: 0

EMS-RTC: LSTM-based Adaptive Video Streaming for Smart Ambulance 基于lstm的智能救护车自适应视频流

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136348

Bo-Wen Wang, Wen-Hsuan Shen, M. Hsieh, Hsin-Mu Tsai

{"title":"EMS-RTC: LSTM-based Adaptive Video Streaming for Smart Ambulance","authors":"Bo-Wen Wang, Wen-Hsuan Shen, M. Hsieh, Hsin-Mu Tsai","doi":"10.1109/VNC57357.2023.10136348","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136348","url":null,"abstract":"A smart ambulance continuously shares the patient's vital signs data and video feeds from the ambulance so that the doctors stationed in the hospital can work with the paramedics in the ambulance, performing an early assessment of the patient or even providing treatment guidelines. One prerequisite to the seamless cooperation between the doctor and the paramedics is high-quality video streaming. Video streaming with bad image quality or high latency would introduce significant difficulty in providing accurate diagnoses of the patient. As the video needs to be delivered from a moving ambulance, the streaming performance is influenced by the fast variation of the service quality of the mobile network. Compared to static scenarios, additional channel impairments (e.g., the shadowing effect) is introduced in the mobile scenarios. In this case, it is crucial that the video streaming bitrate can quickly react to the changes of the service quality and is adjusted accordingly, such that the video quality leverages full available bandwidth, but does not exceed what the channel can support. To this end, we propose EMS-RTC, a real-time video streaming platform specialized for the need for ambulance services. EMS-RTC trains a classifier to infer the optimal bitrate based on features from a range of signal- and network-related metrics, collected in real-world driving scenarios. We compare EMS-RTC to a state-of-the-art adaptive bitrate algorithm (i.e., Google congestion control). Evaluation results collected from real-world driving scenarios show that EMS-RTC reduces the total time duration of stall events by a factor of 3.85, at the cost of a neglectable reduction of image quality.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Privacy of Smart Traffic Lights Systems 智能交通灯系统的隐私

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136320

Artur Hermann, Michael Wolf, Natasa Trkulja, I. B. Jemaa, Anis Bkakria, F. Kargl

{"title":"Privacy of Smart Traffic Lights Systems","authors":"Artur Hermann, Michael Wolf, Natasa Trkulja, I. B. Jemaa, Anis Bkakria, F. Kargl","doi":"10.1109/VNC57357.2023.10136320","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136320","url":null,"abstract":"Smart traffic lights systems (STLSs) are a promising approach to improve traffic efficiency at intersections. They rely on the information sent by vehicles via C2X communication (like in cooperative awareness messages (CAMs)) at the managed intersection. While there exists a large body of work on privacy-enhancing technologies (PETs) for cooperative Intelligent Transport Systems (cITS) in general, such PETs like changing pseudonyms often impact the performance of cITS applications. This paper analyzes the extent to which different PETs affect the performance of two types of STLSs, a phase-based and a reservation-based STLS. These are implemented in SUMO and combined with four different PETs. Through extensive simulations we then investigate the impact of those PETs on STLS performance metrics like time loss, waiting time, fuel consumption, and average velocity. Our analysis shows that the impact of PETs on performance varies greatly depending on the type of STLS. Finally, we propose a hybrid STLS which is a combination of the two STLS types as a potential solution for limiting the negative impact of PETs on performance.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131494770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Free-Floating Micro-mobility Smart Redistribution Using Spatio-temporal Demand Forecasting 基于时空需求预测的自由浮动微移动智能再分配

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136284

Rania Swessi, Zeineb El Khalfi, I. Jemili, M. Mosbah

{"title":"Free-Floating Micro-mobility Smart Redistribution Using Spatio-temporal Demand Forecasting","authors":"Rania Swessi, Zeineb El Khalfi, I. Jemili, M. Mosbah","doi":"10.1109/VNC57357.2023.10136284","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136284","url":null,"abstract":"Micro-mobility refers to a variety of small and lightweight vehicles designed for individual use. These new vehicles are inexpensive, simple to operate, and enjoyable to ride, making them the easiest and most suitable mode of transportation for trips of less than five miles. They have become extremely popular, especially with the advent of free-floating systems that offer users flexible parking in order to facilitate the rental process. However, the problem of imbalance and maldistribution is among the major challenges of these systems, causing dissatisfaction and loss of customers. Therefore, to ensure the balancing of the fleet and to make the best decision for its reorganization, we must consider strategic locations that are accessible to all. In this paper, we propose a machine learning model for spatio-temporal demand forecasting using a multi-output regression technique. The main goal of the paper is to help pick the ideal areas for fleet deployment and balance the system according to user needs. Our solution, designed for public electric scooters, is based on the estimation of user demand over a grid-based service area. In addition, we propose an enhanced solution that outperforms other baseline models, including the Random Forest, Gradient Boosting, and Stacking Regressor.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114209752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Net-Zero Goal through Altruistic Prosumer based Energy Trading among Connected Electric Vehicles 互联电动汽车中基于产消者的能源交易实现净零目标

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136351

Ferheen Ayaz, M. Nekovee

{"title":"Towards Net-Zero Goal through Altruistic Prosumer based Energy Trading among Connected Electric Vehicles","authors":"Ferheen Ayaz, M. Nekovee","doi":"10.1109/VNC57357.2023.10136351","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136351","url":null,"abstract":"The motivation to protect environment and reduce CO2 emissions has resulted in increase in number of electric vehicle (EV) users. However, the rising number of EVs leads to increasing electricity demands and aggravates the burden on existing energy distribution systems. Therefore, the distributed energy systems, where consumers can also sell their surplus energy are required to overcome the potential challenges of high energy demands predicted in future. Furthermore, the consumers are now inclined towards buying energy from a renewable source to reduce environmental damage. Therefore, the sellers willing to contribute towards environmental sustainability also need to be encouraged to generate energy at a small scale through renewable sources and offer them at cheap prices. This paper proposes an energy trading system where both EVs and immobile users, such as houses and buildings, act as prosumers. They can buy or sell energy for both monetary incentives as well as for altruistic aim of environmental sustainability. A 5G-enabled aggregator is proposed to manage the energy trading system through blockchain and smart contracts for maintaining security and immutability in transactions and verify energy sources. Stackelberg non-cooperative and cooperative games are formulated to strategize incentives of prosumers reflecting both altruism and monetary incentives. Complexity analysis and probabilistic calculations are performed to theoretically analyze the proposed system. Simulation results show more than 90% and 60% successful energy transactions when only seller is EV and when both buyers and sellers are EVs, respectively.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117343806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Demo: A Collision Avoidance System Integrating V2X Communication and Computer Vision for VRUs 演示:集成V2X通信和计算机视觉的vru防撞系统

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136350

Daniel Ulied, J. M. Parella, Estela Carmona Cejudo

引用次数: 0

Comparative Evaluation of PKI and DAA-based Architectures for V2X Communication Security 基于PKI和基于数据的V2X通信安全体系结构的比较评估

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136316

Anna Angelogianni, Ioannis Krontiris, Thanassis Giannetsos

引用次数: 1

Demo: Lane-level Traffic Estimation using V2C Communication 演示:使用V2C通信的车道级流量估计

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136273

E. A. Sisbot, Y. Farid

引用次数: 0

Adaptive Cybersecurity Monitoring for Resilient Vehicular Architectures 弹性车辆架构的自适应网络安全监控

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136321

D. Grimm, Moritz Zink, Marc Schindewolf, E. Sax

{"title":"Adaptive Cybersecurity Monitoring for Resilient Vehicular Architectures","authors":"D. Grimm, Moritz Zink, Marc Schindewolf, E. Sax","doi":"10.1109/VNC57357.2023.10136321","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136321","url":null,"abstract":"The use of new technologies in vehicles, such as automation and connectivity, results in the addition of more software components, which in turn increases the potential vulnerabilities and attack surfaces for the vehicle. To address this, cybersecurity monitoring of vehicle fleets is required to detect and respond to potential cyber threats and vulnerabilities. The aim of this research is to explore a technological approach to fleet monitoring using established IT standards and techniques. The approach involves collecting, filtering, and forwarding cybersecurity information from multiple sources within the vehicle by instrumenting the ROS 2-based architecture and integrating these data sources with the log management tool syslog-ng. The logging configuration can be adapted at runtime using a ROS 2 interface that we developed. The approach is demonstrated with our fleet simulation setup “Fleet in the Loop” and a sophisticated data collection in a Knowledge Graph. The approach at hand can be used to seamlessly integrate ROS 2 in common IT monitoring tools and efficiently increase the resilience of vehicles by integrating adaptive security monitoring.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129521857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0