Journal of Intelligent and Connected Vehicles最新文献_第5页

Ensuring Federated Learning Reliability for Infrastructure-Enhanced Autonomous Driving 确保基础设施增强型自动驾驶的联合学习可靠性

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210009

Benjamin Acar;Marius Sterling

{"title":"Ensuring Federated Learning Reliability for Infrastructure-Enhanced Autonomous Driving","authors":"Benjamin Acar;Marius Sterling","doi":"10.26599/JICV.2023.9210009","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210009","url":null,"abstract":"The application of machine learning techniques, particularly in the context of autonomous driving solutions, has grown exponentially in recent years. As such, the collection of high-quality datasets has become a prerequisite for training new models. However, concerns about privacy and data usage have led to a growing demand for decentralized methods that can be learned without the need for pre-collected data. Federated learning (FL) offers a potential solution to this problem by enabling individual clients to contribute to the learning process by sending model updates rather than training data. While Federated Learning has proven successful in many cases, new challenges have emerged, especially in terms of network availability during training. Since a global instance is responsible for collecting updates from local clients, there is a risk of network downtime if the global server fails. In this study, we propose a novel and crucial concept that addresses this issue by adding redundancy to our network. Rather than deploying a single global model, we deploy a multitude of global models and utilize consensus algorithms to synchronize and keep these replicas updated. By utilizing these replicas, even if the global instance fails, the network remains available. As a result, our solution enables the development of reliable Federated Learning systems, particularly in system architectures suitable for infrastructure-enhanced autonomous driving. Consequently, our findings enable the more effective realization of use cases in the context of cooperative, connected, and automated mobility.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 3","pages":"125-135"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10379565","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139081239","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

Charting the Future: Intelligent and Connected Vehicles Reshaping the Bus System 描绘未来：智能互联车辆重塑公交系统

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210024

Kunjun Wang;Ye Xiao;Yixu He

{"title":"Charting the Future: Intelligent and Connected Vehicles Reshaping the Bus System","authors":"Kunjun Wang;Ye Xiao;Yixu He","doi":"10.26599/JICV.2023.9210024","DOIUrl":"10.26599/JICV.2023.9210024","url":null,"abstract":"Driven by technological innovation and digital evolution, the current automotive industry is standing at the cusp of a transformative era (Liu et al., 2023). As urban centers continue to expand and intensify the demands on transportation networks, the need for solutions to alleviate congestion, boost traffic efficiency, and enhance road safety becomes increasingly urgent. On this occasion, intelligent and connected vehicles, integrating vehicles, infrastructure, and cloud computing, promise a smarter mode of passenger transportation and pave the way for a more interconnected and responsive urban transit ecosystem (Cao et al., 2023). Therefore, traditional passenger buses are on the verge of significant transformation in terms of their functional technologies and operational models. This will bring about a host of benefits such as higher efficiency, better passenger experiences, and safer road environments. This paper provides a comprehensive outlook on intelligent and connected passenger buses (ICPBs), delving into the integrated vehicle-road-cloud platform and highlighting the key technologies that will shape the future bus system. As illustrated in Fig. 1, it showcases the key perspectives on the future of ICPBs.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 3","pages":"113-115"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135504037","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

Future Role of Artificial Intelligence in Advancing Transportation Electrification 人工智能在推进交通电气化中的未来作用

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210020

Hongyi Lin;Yiping Yan;Qixiu Cheng

引用次数: 0

Evaluation of Platooning Configurations for Connected and Automated Vehicles at an Isolated Roundabout in a Mixed Traffic Environment 评估混合交通环境中孤立环岛的互联车辆和自动驾驶车辆排序配置

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210013

Junfan Zhuo;Feng Zhu

引用次数: 0

Vehicle and Charging Scheduling of Electric Bus Fleets: A Comprehensive Review 电动巴士车队的车辆和充电调度：全面回顾

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210012

Le Zhang;Yu Han;Jiankun Peng;Yadong Wang

{"title":"Vehicle and Charging Scheduling of Electric Bus Fleets: A Comprehensive Review","authors":"Le Zhang;Yu Han;Jiankun Peng;Yadong Wang","doi":"10.26599/JICV.2023.9210012","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210012","url":null,"abstract":"Transit electrification has emerged as an unstoppable force, driven by the considerable environmental benefits it offers. However, the adoption of battery electric buses is still impeded by their limited flexibility, a constraint that necessitates adjustments to current bus scheduling plans. Consequently, this study aspires to offer a thorough review of articles focused on battery electric bus scheduling. Moreover, we provide a comprehensive review of 42 papers on electric bus scheduling and related studies, with a focus on the most recent developments and trends in this research domain. Despite this extensive review, our findings reveal a paucity of research that takes into account the robustness of electric bus scheduling. Furthermore, we highlight the critical areas of considering diverse charging modes in electric bus scheduling and integrated planning of electric buses, which have not been adequately explored but hold the potential to greatly boost the effectiveness of electric bus systems. Through this synthesis, we hope that readers could acquire a thorough comprehension of the studies in this field and be motivated to address the identified research gaps, thus propelling the progress of transit electrification.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 3","pages":"116-124"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10379587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139081200","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

Real-Time Intersection Vehicle Turning Movement Counts from Live UAV Video Stream Using Multiple Object Tracking 利用多目标跟踪技术从无人机实时视频流中获取交叉路口车辆转弯运动实时计数

Journal of Intelligent and Connected Vehicles Pub Date : 2023-09-01 DOI: 10.26599/JICV.2023.9210014

Yuhao Wang;Ivan Wang-Hei Ho;Yuhong Wang

{"title":"Real-Time Intersection Vehicle Turning Movement Counts from Live UAV Video Stream Using Multiple Object Tracking","authors":"Yuhao Wang;Ivan Wang-Hei Ho;Yuhong Wang","doi":"10.26599/JICV.2023.9210014","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210014","url":null,"abstract":"The intelligent transportation system (ITS) is committed to ensuring safe and effective next-generation traffic throughout a city. However, such efficient operation on urban traffic networks needs the support of big traffic data, especially Turning Movement Counts (TMC) at intersections. Generally, TMC data are more challenging to collect due to labor cost and accuracy problems. In this paper, we leverage the capabilities of Unmanned Aerial Vehicles (UAV) to collect real-time TMC data in a cost-efficient way. We proposed a real-time TMC data collection framework based on a live video stream. The vehicle tracking capability is boosted by multiple object tracking based on tracking by detection. In addition, a challenging case study was conducted, and our results demonstrate the feasibility and robustness of the proposed TMC data collection framework. Specifically, with a GTX 1650 graphics card, about 10 FPS can be achieved in real-time for the TMC data collection. The overall accuracy is 91.93%, and the best case is over 98% accurate. In the context of miscounting, the major reason is due to ID switching caused by background occlusion. The proposed framework is expected to provide real-time data for traffic capacity analysis and advanced traffic simulation such as digital twins.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 3","pages":"149-160"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10339159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139090459","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

Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO 具有冲突解决策略和改进ACO的多仓库机器人两级车辆路径规划模型

Journal of Intelligent and Connected Vehicles Pub Date : 2023-06-01 DOI: 10.26599/JICV.2023.9210011

Pan Wu;Lingshu Zhong;Jingwen Xiong;Yuhao Zeng;Mingyang Pei

{"title":"Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO","authors":"Pan Wu;Lingshu Zhong;Jingwen Xiong;Yuhao Zeng;Mingyang Pei","doi":"10.26599/JICV.2023.9210011","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210011","url":null,"abstract":"With the rapid development of warehouse robots in logistics and other industries, research on their path planning has become increasingly important. Based on the analysis of various conflicts that occur when the warehouse robot travels, this study proposes a two-level vehicle path planning model for multi-warehouse robots, which integrates static and dynamic planning to improve operational efficiency and reduce operating costs. In the static phase, the blockage factor is introduced to enhance the ant colony optimization (ACO) algorithm as a negative feedback mechanism to effectively avoid the blockage nodes during movement. In the dynamic stage, a dynamic priority mechanism is designed to adjust the routing strategy in real time and give the optimal path according to the real situation. To evaluate the model's effectiveness, simulations were performed under different operating environments and application strategies based on an actual grid environment map. The simulation results confirm that the proposed model outperforms other methods in terms of average running distance, number of blocked nodes, percentage of replanned paths, and average running time, showing great potential in optimizing warehouse operations.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 2","pages":"102-112"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10287912/10225633.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68031025","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

Hybrid cooperative intersection management for connected automated vehicles and pedestrians 连接自动车辆和行人的混合式交叉口协同管理

Journal of Intelligent and Connected Vehicles Pub Date : 2023-06-01 DOI: 10.26599/JICV.2023.9210008

Pinlong Cai;Jia He;Yikang Li

{"title":"Hybrid cooperative intersection management for connected automated vehicles and pedestrians","authors":"Pinlong Cai;Jia He;Yikang Li","doi":"10.26599/JICV.2023.9210008","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210008","url":null,"abstract":"Connected Automated Vehicles (CAVs) have drawn much attention in recent years. High reliable automatic technologies can help CAVs to follow given trajectories well. However, safety and efficiency are hard to be ensured since the interactions between CAVs and pedestrians are complex problems. Thus, this study focuses on cooperative intersection management for CAVs and pedestrians. To avoid the effects of uncertainty about pedestrian behaviors, an indirect way is to use pedestrians' signal lights to guide the movements of pedestrians, and such lights with communication devices can share information with CAVs to make decisions together. In time domains, a general conflict-free rule is established depending on the positions of CAVs and crosswalks. Geometric analysis with coordinate calculation is used to accurately determine the feasible vehicle trajectories and the reasonable periods for signal lights turning green. Four control strategies for the same conditions are compared in simulation experiments, and their performances are analyzed. We demonstrate that the proposed cooperative strategy not only balances the benefits of vehicles and pedestrians but also improves the traffic efficiency at the intersection.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 2","pages":"91-101"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10287912/10184172.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67865537","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

Anisotropy safety potential field model under intelligent and connected vehicle environment and its application in car-following modeling 智能互联汽车环境下各向异性安全势场模型及其在跟车建模中的应用

Journal of Intelligent and Connected Vehicles Pub Date : 2023-03-11 DOI: 10.26599/JICV.2023.9210006

Haozhan Ma;Bocheng An;Linheng Li;Zhi Zhou;Xu Qu;Bin Ran

{"title":"Anisotropy safety potential field model under intelligent and connected vehicle environment and its application in car-following modeling","authors":"Haozhan Ma;Bocheng An;Linheng Li;Zhi Zhou;Xu Qu;Bin Ran","doi":"10.26599/JICV.2023.9210006","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210006","url":null,"abstract":"Potential field theory, as a theory that can also be applied to vehicle control, is an emerging risk quantification approach to accommodate the connected and self-driving vehicle environment. Vehicles have different risk impact effects on other road participants in each direction under the influence of road rules. This variability exhibited by vehicles in each direction is not considered in the previous potential field model. Therefore, this paper proposed a potential field model that takes the anisotropy of vehicle impact into account: (1) introducing equivalent distances to separate the potential field area in the different directions before and after the vehicle; (2) introducing co-virtual forces to characterize the effect of the side-by-side travel phenomenon on vehicle car-following travel; (3) introducing target forces and lane resistance, which regress the control of desired speed to control the acceptable risk of drivers. The Next Generation Simulation (NGSIM) dataset is used in this study to create the model's initial parameter values based on the artificial swarm algorithm. The simulation findings indicate that when the vehicle is given the capacity to perceive the surrounding traffic environment, the suggested the anisotropic safety potential field model (ASPFM) performs better in terms of driving safety.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 2","pages":"79-90"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10287912/10123364.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67865536","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

Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test 使用现场操作测试评估先进驾驶辅助系统的有效性和可接受性

Journal of Intelligent and Connected Vehicles Pub Date : 2023-03-11 DOI: 10.26599/JICV.2023.9210005

Kasi Nayana Badweeti;Vinayak Devendra Malaghan;Digvijay Sampatrao Pawar;Said Easa

{"title":"Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test","authors":"Kasi Nayana Badweeti;Vinayak Devendra Malaghan;Digvijay Sampatrao Pawar;Said Easa","doi":"10.26599/JICV.2023.9210005","DOIUrl":"https://doi.org/10.26599/JICV.2023.9210005","url":null,"abstract":"A large number of reported road collisions are caused by driver inattention, and inappropriate driving behaviour. This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems (ADAS) for driver age groups, gender, occupation (professional/non-professional), and road type (expressway, urban roads, and semiurban road) based on the Field Operational Test (FOT). The ADAS is provided with assistance features, such as Lane Departure Warning (LDW), Forward Collision Warning (FCW), and Traffic Speed Recognition Warning (TSRW). In total, the FOT involved 30 participants who drove the test vehicle twice (once in the stealth phase and once in the active phase). The FOT included three sections: expressway (20.60 km), urban road (7.2 km), and semi-urban road (13.35 km). A questionnaire was used to determine user acceptance of the ADAS technology. In addition, parametric and non-parametric statistical tests were carried out to determine ADAS's significant effects. The FOT results showed statistically significant differences in the LDW's acceptance and effectiveness for gender, age group, occupation, and road type before and after exposure to ADAS. Male participants showed significant lateral behavior improvement compared to female participants. Old-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged drivers. The subjective ratings ranked the assistance features in descending order as TSRW, LDW, and FCW. This study's findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"6 2","pages":"65-78"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10287912/10123363.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67865535","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