Connected Vehicular(联网车辆)研究综述
Connected Vehicular 联网车辆 - With the fast growth in network-connected vehicular devices, the Internet of Vehicles (IoV) has many advances in terms of size and speed for Intelligent Transportation System (ITS) applications. [1] The effective deployment of connected vehicular networks is contingent upon maintaining a desired performance across spatial and temporal domains. [2] However, content sharing in connected vehicular networks (CVNs) is highly challenging owing to factors such as the high mobility of vehicles, frequent topology changes, intermittent wireless connectivity, and interference. [3] Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device monitoring system. [4] To illustrate the methodology, we outline the structure of an notional overtaking assistant, considering that the system would not only need internal sensors such as global navigation satellite system (GNSS) receivers, map data, and other motion and localization sensors and external sensors such as radars, lidars, and vision systems but also access to cooperative positioning information through a wireless connected vehicular network in order to identify the location of oncoming traffic. [5] Critical event information dissemination has been proliferating on VANET allowing road safety via connected vehicular communications. [6] In this research, connected vehicular platoon control is investigated with mixed time-varying delay. [7] As data dissemination is of great importance for applications in connected vehicular networks (VANETs), we aim to facilitate the performance of data dissemination in this study. [8] The presented article evaluates the routing protocols in connected Vehicular Ad-Hoc Networks (VANET) through 802. [9] As the solution of 5G era, creating a highly connected vehicular network is considered more reliable to guarantee the driving safety because single vehicle is prone to estimation error with blocked vision. [10] In this paper, we study the connected vehicular system, where the connected cruise control (CCC) vehicle is mixed into the flow of conventional vehicles, we assume all the vehicles can transmit motional information by vehicle-to-vehicle communication. [11] Hence, it is interesting in design of the connected vehicular systems to be resilient to the sensor attacks. [12] The millimeter-wave (mmWave) frequency band presents a viable communication platform for the exchange of large amount of data and communications of Connected Vehicular Networks (CVNs). [13] Ever-growing incorporation of connected vehicle (CV) technologies into intelligent traffic signal control systems brings about significant data security issues in the connected vehicular networks. [14] We conduct experiments to validate the system in connected vehicular platform in the advanced traffic simulation dataset. [15] The findings indicate that Jakarta’s pedestrian network has been diminishing over time against the well-connected vehicular network. [16] The connected vehicular ad hoc network (VANET) and cloud computing technology allows entities in VANET to enjoy the advantageous storage and computing services offered by some cloud service provider. [17] proposes a novel approach for enabling dynamic decision making into a connected vehicular system by managing. [18] As the adoption rate of connected vehicle technology and the complexity of associated vehicular applications grows, the load on the supporting connected vehicular network will also grow accordingly. [19] Vehicle-to-Everything (V2X) communications refers to an intelligent and connected vehicular network where all vehicles and infrastructure systems are interconnected with each other. [20] In this paper, we present TrustVote, a collaborative crowdsourcing-based vehicle reputation system that enables vehicles to evaluate the credibility of other vehicles in a connected vehicular network. [21] This paper details control design and stability analysis of homogeneous traffic flow by considering it as the interaction between inter-connected vehicular platoons. [22] Extensive simulations of connected vehicular networks in three road topology scenarios (City, Rural, and Highway) show that GSA-based protocols can achieve relatively higher performance than existing protocols in terms of throughput, packet delivery rate, delay and protocol overhead. [23] To secure the interconnected vehicular system, many cryptography techniques, communication protocols, and certification and reputation-based security approaches were proposed. [24] For example, passengers like to consume multimedia services and new use cases arise from ITS and connected vehicular services that require high-speed and reliable connectivity solutions. [25] The future of intelligent transportation systems has become in- creasingly dependent on the integration of heterogeneous wireless technologies over connected vehicular networks. [26] In this paper, we investigate how to utilize the surplus resources in intermittently connected vehicular networks (ICVNs) to help target vehicles downloading and processing files from remote server. [27]随着联网车辆设备的快速增长，车联网（IoV）在智能交通系统（ITS）应用的规模和速度方面取得了许多进步。 [1] 互联车辆网络的有效部署取决于在空间和时间域上保持所需的性能。 [2] 然而，由于车辆的高移动性、频繁的拓扑变化、间歇性无线连接和干扰等因素，互联车辆网络 (CVN) 中的内容共享极具挑战性。 [3] 在环境安全的 434 MHz 无线电频率、人工智能、机器学习和物联网技术 (CVT-AIML-IoT) 中运行的联网车辆跟踪模式是具有成本效益且安全的跟踪或设备监控系统。 [4] 为了说明该方法，我们概述了一个概念超车助手的结构，考虑到该系统不仅需要内部传感器，例如全球导航卫星系统 (GNSS) 接收器、地图数据，以及其他运动和定位传感器以及外部传感器，例如雷达、激光雷达和视觉系统，还可以通过无线连接的车载网络访问协作定位信息，以识别迎面而来的交通的位置。 [5] VANET 上的关键事件信息传播一直在激增，通过连接的车辆通信实现道路安全。 [6] 在这项研究中，研究了具有混合时变延迟的联网车辆排控制。 [7] 由于数据传播对于互联车辆网络 (VANET) 中的应用非常重要，因此我们旨在促进本研究中数据传播的性能。 [8] 本文评估了通过 802 连接的车载自组织网络 (VANET) 中的路由协议。 [9] 作为 5G 时代的解决方案，建立一个高度连接的车联网被认为更可靠，以保证行车安全，因为单车容易出现视觉遮挡的估计错误。 [10] 在本文中，我们研究了互联车辆系统，其中互联巡航控制（CCC）车辆混合到传统车辆的流程中，我们假设所有车辆都可以通过车对车通信传输运动信息。 [11] 因此，有趣的是设计连接的车辆系统以抵御传感器攻击。 [12] 毫米波 (mmWave) 频段为互联车辆网络 (CVN) 的大量数据交换和通信提供了一个可行的通信平台。 [13] 联网车辆 (CV) 技术不断融入智能交通信号控制系统，给联网车辆网络带来了重大的数据安全问题。 [14] 我们在高级交通模拟数据集中进行实验以验证互联车辆平台中的系统。 [15] 调查结果表明，雅加达的步行网络相对于连接良好的车辆网络随着时间的推移而减少。 [16] 互联的车载自组网（VANET）和云计算技术使得车联网中的实体可以享受到一些云服务提供商提供的优势存储和计算服务。 [17] 提出了一种新颖的方法，通过管理使动态决策成为连接的车辆系统。 [18] 随着车联网技术的采用率和相关车载应用的复杂性增加，配套的车联网负载也将相应增加。 [19] 车联网 (V2X) 通信是指所有车辆和基础设施系统相互连接的智能互联车辆网络。 [20] 在本文中，我们提出了 TrustVote，这是一种基于协作众包的车辆信誉系统，使车辆能够评估互联车辆网络中其他车辆的信誉。 [21] 本文详细介绍了同质交通流的控制设计和稳定性分析，将其视为互联车辆排之间的相互作用。 [22] 在三种道路拓扑场景（城市、农村和高速公路）中对联网车辆网络的广泛模拟表明，基于 GSA 的协议在吞吐量、数据包传递率、延迟和协议开销方面可以实现比现有协议更高的性能。 [23] 为了保护互连的车辆系统，提出了许多密码技术、通信协议以及基于认证和信誉的安全方法。 [24] 例如，乘客喜欢消费多媒体服务，ITS 和需要高速可靠连接解决方案的联网车辆服务产生了新的用例。 [25] 智能交通系统的未来已经越来越依赖于异构无线技术在互联车辆网络上的集成。 [26] 在本文中，我们研究了如何利用间歇连接车辆网络 (ICVN) 中的剩余资源来帮助目标车辆从远程服务器下载和处理文件。 [27]
connected vehicular network 车联网
The effective deployment of connected vehicular networks is contingent upon maintaining a desired performance across spatial and temporal domains. [1] However, content sharing in connected vehicular networks (CVNs) is highly challenging owing to factors such as the high mobility of vehicles, frequent topology changes, intermittent wireless connectivity, and interference. [2] To illustrate the methodology, we outline the structure of an notional overtaking assistant, considering that the system would not only need internal sensors such as global navigation satellite system (GNSS) receivers, map data, and other motion and localization sensors and external sensors such as radars, lidars, and vision systems but also access to cooperative positioning information through a wireless connected vehicular network in order to identify the location of oncoming traffic. [3] As data dissemination is of great importance for applications in connected vehicular networks (VANETs), we aim to facilitate the performance of data dissemination in this study. [4] As the solution of 5G era, creating a highly connected vehicular network is considered more reliable to guarantee the driving safety because single vehicle is prone to estimation error with blocked vision. [5] The millimeter-wave (mmWave) frequency band presents a viable communication platform for the exchange of large amount of data and communications of Connected Vehicular Networks (CVNs). [6] Ever-growing incorporation of connected vehicle (CV) technologies into intelligent traffic signal control systems brings about significant data security issues in the connected vehicular networks. [7] The findings indicate that Jakarta’s pedestrian network has been diminishing over time against the well-connected vehicular network. [8] As the adoption rate of connected vehicle technology and the complexity of associated vehicular applications grows, the load on the supporting connected vehicular network will also grow accordingly. [9] Vehicle-to-Everything (V2X) communications refers to an intelligent and connected vehicular network where all vehicles and infrastructure systems are interconnected with each other. [10] In this paper, we present TrustVote, a collaborative crowdsourcing-based vehicle reputation system that enables vehicles to evaluate the credibility of other vehicles in a connected vehicular network. [11] Extensive simulations of connected vehicular networks in three road topology scenarios (City, Rural, and Highway) show that GSA-based protocols can achieve relatively higher performance than existing protocols in terms of throughput, packet delivery rate, delay and protocol overhead. [12] The future of intelligent transportation systems has become in- creasingly dependent on the integration of heterogeneous wireless technologies over connected vehicular networks. [13] In this paper, we investigate how to utilize the surplus resources in intermittently connected vehicular networks (ICVNs) to help target vehicles downloading and processing files from remote server. [14]互联车辆网络的有效部署取决于在空间和时间域上保持所需的性能。 [1] 然而，由于车辆的高移动性、频繁的拓扑变化、间歇性无线连接和干扰等因素，互联车辆网络 (CVN) 中的内容共享极具挑战性。 [2] 为了说明该方法，我们概述了一个概念超车助手的结构，考虑到该系统不仅需要内部传感器，例如全球导航卫星系统 (GNSS) 接收器、地图数据，以及其他运动和定位传感器以及外部传感器，例如雷达、激光雷达和视觉系统，还可以通过无线连接的车载网络访问协作定位信息，以识别迎面而来的交通的位置。 [3] 由于数据传播对于互联车辆网络 (VANET) 中的应用非常重要，因此我们旨在促进本研究中数据传播的性能。 [4] 作为 5G 时代的解决方案，建立一个高度连接的车联网被认为更可靠，以保证行车安全，因为单车容易出现视觉遮挡的估计错误。 [5] 毫米波 (mmWave) 频段为互联车辆网络 (CVN) 的大量数据交换和通信提供了一个可行的通信平台。 [6] 联网车辆 (CV) 技术不断融入智能交通信号控制系统，给联网车辆网络带来了重大的数据安全问题。 [7] 调查结果表明，雅加达的步行网络相对于连接良好的车辆网络随着时间的推移而减少。 [8] 随着车联网技术的采用率和相关车载应用的复杂性增加，配套的车联网负载也将相应增加。 [9] 车联网 (V2X) 通信是指所有车辆和基础设施系统相互连接的智能互联车辆网络。 [10] 在本文中，我们提出了 TrustVote，这是一种基于协作众包的车辆信誉系统，使车辆能够评估互联车辆网络中其他车辆的信誉。 [11] 在三种道路拓扑场景（城市、农村和高速公路）中对联网车辆网络的广泛模拟表明，基于 GSA 的协议在吞吐量、数据包传递率、延迟和协议开销方面可以实现比现有协议更高的性能。 [12] 智能交通系统的未来已经越来越依赖于异构无线技术在互联车辆网络上的集成。 [13] 在本文中，我们研究了如何利用间歇连接车辆网络 (ICVN) 中的剩余资源来帮助目标车辆从远程服务器下载和处理文件。 [14]
connected vehicular system
In this paper, we study the connected vehicular system, where the connected cruise control (CCC) vehicle is mixed into the flow of conventional vehicles, we assume all the vehicles can transmit motional information by vehicle-to-vehicle communication. [1] Hence, it is interesting in design of the connected vehicular systems to be resilient to the sensor attacks. [2] proposes a novel approach for enabling dynamic decision making into a connected vehicular system by managing. [3] To secure the interconnected vehicular system, many cryptography techniques, communication protocols, and certification and reputation-based security approaches were proposed. [4]在本文中，我们研究了互联车辆系统，其中互联巡航控制（CCC）车辆混合到传统车辆的流程中，我们假设所有车辆都可以通过车对车通信传输运动信息。 [1] 因此，有趣的是设计连接的车辆系统以抵御传感器攻击。 [2] 提出了一种新颖的方法，通过管理使动态决策成为连接的车辆系统。 [3] 为了保护互连的车辆系统，提出了许多密码技术、通信协议以及基于认证和信誉的安全方法。 [4]
connected vehicular platoon
In this research, connected vehicular platoon control is investigated with mixed time-varying delay. [1] This paper details control design and stability analysis of homogeneous traffic flow by considering it as the interaction between inter-connected vehicular platoons. [2]在这项研究中，研究了具有混合时变延迟的联网车辆排控制。 [1] 本文详细介绍了同质交通流的控制设计和稳定性分析，将其视为互联车辆排之间的相互作用。 [2]
connected vehicular ad
The presented article evaluates the routing protocols in connected Vehicular Ad-Hoc Networks (VANET) through 802. [1] The connected vehicular ad hoc network (VANET) and cloud computing technology allows entities in VANET to enjoy the advantageous storage and computing services offered by some cloud service provider. [2]本文评估了通过 802 连接的车载自组织网络 (VANET) 中的路由协议。 [1] 互联的车载自组网（VANET）和云计算技术使得车联网中的实体可以享受到一些云服务提供商提供的优势存储和计算服务。 [2]