汽车安全与节能学报 ›› 2024, Vol. 15 ›› Issue (3): 295-308.DOI: 10.3969/j.issn.1674-8484.2024.03.002
收稿日期:2024-04-25
修回日期:2024-05-16
出版日期:2024-06-30
发布日期:2024-07-01
通讯作者:
*徐志刚,教授。E-mail:作者简介:张永升(1987—),男(满族),辽宁,高级工程师。E-mail:zhysmars@163.com。基金资助:
ZHANG Yongsheng1(
), LI Yizhou2, WANG Liang3, XU Zhigang4,*(
)
Received:2024-04-25
Revised:2024-05-16
Online:2024-06-30
Published:2024-07-01
摘要:
随着智能网联技术的快速发展,智能网联汽车装配的智能车载终端功能也相应扩展。经过数十年的进步,智能车载终端系统在多个领域取得了显著的发展,并在自动驾驶领域展现出巨大的潜力。该文从智能车载终端在智能网联环境中的现状入手,描述了智能车载终端系统的架构,并回顾了在车间通信和车路协同赋能下车载终端系统的发展历程;对5G时代车联网无线通信技术的创新对智能车载终端发展的重大影响做了深入分析,并详细回顾了在协同驾驶与控制、边缘计算与雾计算、数字孪生等领域的最新研究成果,同时指出了智能车载终端在信息安全和自动驾驶测试领域面临的挑战。
中图分类号:
张永升, 李逸椆, 王亮, 徐志刚. 智能网联环境下车载终端的发展现状与挑战[J]. 汽车安全与节能学报, 2024, 15(3): 295-308.
ZHANG Yongsheng, LI Yizhou, WANG Liang, XU Zhigang. Development status and challenges of vehicle terminals in intelligent and connected environments[J]. Journal of Automotive Safety and Energy, 2024, 15(3): 295-308.
| OBU | 平台供应商 | IEEE WAVE | ETSI ITS | ARIB STD-T109 | SAE J2735 |
|---|---|---|---|---|---|
| LocoMate OBU | Arada Systems | 支持 | 不支持 | 不支持 | 支持 |
| PANGEA4 | Autotalks | 支持 | 支持 | 支持 | 不支持 |
| EVK-3300、 TS3306 | Kapsch TrafficCom | 支持 | 支持 | 不支持 | 支持 |
| MK5 OBU | Cohda Wireless | 支持 | 支持 | 不支持 | 支持 |
| MobiWAVE | Savari Networks | 支持 | 不支持 | 不支持 | 支持 |
| OBU | 平台供应商 | IEEE WAVE | ETSI ITS | ARIB STD-T109 | SAE J2735 |
|---|---|---|---|---|---|
| LocoMate OBU | Arada Systems | 支持 | 不支持 | 不支持 | 支持 |
| PANGEA4 | Autotalks | 支持 | 支持 | 支持 | 不支持 |
| EVK-3300、 TS3306 | Kapsch TrafficCom | 支持 | 支持 | 不支持 | 支持 |
| MK5 OBU | Cohda Wireless | 支持 | 支持 | 不支持 | 支持 |
| MobiWAVE | Savari Networks | 支持 | 不支持 | 不支持 | 支持 |
| 无线通信技术 | 描述 |
|---|---|
| 蓝牙 | 为微型、低成本、低功耗设备设计,用于短距离传输数字音频和数据。 |
| Wi-Fi | 基于IEEE 802.11标准的无线网络通信技术,为IVI提供互联网服务。 |
| BLE [ | 指低功耗蓝牙,适用于短距离射频设备进行连接。 |
| ZigBee [ | 一种开放的全球标准无线技术,旨在应对无线物联网网络在低成本和低电池供电设备方面面临的挑战。 |
| UWB [ | 指超宽带无线通信技术,具有低功耗、高传输速率、定位精确的特性。 |
| DSRC | 提供高速数据传输、中短距离通讯服务,广泛应用于V2V,V2I通信。 |
| LTE [ | 一种基于正交频分复用调制方式的无线通信技术,用于车机与交通其他参与方的联系。 |
| 60 GHz 毫米波[ | 在短距离内支持多Gb/s的无线连接,适用于带宽密集型多媒体应用 |
| 无线通信技术 | 描述 |
|---|---|
| 蓝牙 | 为微型、低成本、低功耗设备设计,用于短距离传输数字音频和数据。 |
| Wi-Fi | 基于IEEE 802.11标准的无线网络通信技术,为IVI提供互联网服务。 |
| BLE [ | 指低功耗蓝牙,适用于短距离射频设备进行连接。 |
| ZigBee [ | 一种开放的全球标准无线技术,旨在应对无线物联网网络在低成本和低电池供电设备方面面临的挑战。 |
| UWB [ | 指超宽带无线通信技术,具有低功耗、高传输速率、定位精确的特性。 |
| DSRC | 提供高速数据传输、中短距离通讯服务,广泛应用于V2V,V2I通信。 |
| LTE [ | 一种基于正交频分复用调制方式的无线通信技术,用于车机与交通其他参与方的联系。 |
| 60 GHz 毫米波[ | 在短距离内支持多Gb/s的无线连接,适用于带宽密集型多媒体应用 |
| 关键技术指标 | DSRC | C-V2X |
|---|---|---|
| 网络覆盖 | 有限覆盖 | 广域覆盖 |
| 通信场景 | V2V、V2I | V2V、V2I、V2N、V2P |
| 时延 | 不确定 | 10 ms(Rel 15标准) [ |
| 可靠性 | 不保障 | >95%(Rel 15标准) [ |
| 峰值速率 | 6 Mbps | 31 Mbps |
| 同步 | 松散异步 | 严格的同步要求 |
| 调制模式 | OFDM | SC-FDM |
| 信道编码 | 卷积码 | Turbo 代码 |
| 并发传输 | 不支持 | 支持 |
| 资源分配 | CSMA/CA | 基于感知的半持续调度 |
| 资源复用 | 仅支持时分复用 | 支持时分复用和频分复用 |
| 关键技术指标 | DSRC | C-V2X |
|---|---|---|
| 网络覆盖 | 有限覆盖 | 广域覆盖 |
| 通信场景 | V2V、V2I | V2V、V2I、V2N、V2P |
| 时延 | 不确定 | 10 ms(Rel 15标准) [ |
| 可靠性 | 不保障 | >95%(Rel 15标准) [ |
| 峰值速率 | 6 Mbps | 31 Mbps |
| 同步 | 松散异步 | 严格的同步要求 |
| 调制模式 | OFDM | SC-FDM |
| 信道编码 | 卷积码 | Turbo 代码 |
| 并发传输 | 不支持 | 支持 |
| 资源分配 | CSMA/CA | 基于感知的半持续调度 |
| 资源复用 | 仅支持时分复用 | 支持时分复用和频分复用 |
| [1] | David E, Walter K, MIAO Lei. Recent advances in connected and automated vehicles[J]. J Traf Transport Engi (English Edit), 2019, 6(2): 109-131. |
| [2] | Jackeline R-T, Andreas A M. A survey on the coordination of connected and automated vehicles at intersections and merging at highway on-ramps[J]. IEEE Trans Intel Transp Syst, 2016, 18(5): 1066-1077. |
| [3] | XU Qing, LI Keqiang, WANG Jianqiang, et al. The status, challenges, and trends: An interpretation of technology roadmap of intelligent and connected vehicles in China (2020)[J]. J Intel Connect Vehi, 2022, 5(1): 1-7. |
| [4] | 《中国公路学报》 编辑部. 中国汽车工程学术研究综述·2017[J]. 中国公路学报, 2017, 30(6): 1-197. |
| Editorial Department of China Journal of Highway and Transport. Review on China's automotive engineering research progress: 2017[J]. Chin J Highw, 2017, 30(6): 1-197. (in Chinese) | |
| [5] | MA Haozhan, AN Bocheng, LI Linheng, et al. Anisotropy safety potential field model under intelligent and connected vehicle environment and its application in car-following modeling[J]. J Intel Connect Vehi, 2023. |
| [6] | TIAN Danyang, WU Guoyuan, Kanok B, Matthew J B. Performance measurement evaluation framework and co-benefit\/tradeoff analysis for connected and automated vehicles (CAV) applications: A survey[J]. IEEE Intel Transport Syst Mag, 2018, 10(3): 110-22. |
| [7] | TAN Zhengyu, DAI Ningyi, SU Yating, et al. Human-machine interaction in intelligent and connected vehicles: A review of status quo, issues, and opportunities[J]. IEEE Trans Intel Transport Syst, 2021, 23(9): 13954-13975. |
| [8] | 张亚勤, 李震宇, 尚国斌, 等. 面向自动驾驶的车路云一体化框架[J]. 汽车安全与节能学报, 2023, 14(3): 249-273. |
| ZHANG Yaqin, LI Zhengyu, SHANG Guobin, et al. A unified framework for vehicle-infrastructure-cloud autonomous driving[J]. J Autom Safe Energ, 2023, 14(3): 249-273. (in Chinese) | |
| [9] | Ankur S, SHEN Haiying, Mizanur R, et al. A review of sensing and communication, human factors, and controller aspects for information-aware connected and automated vehicles[J]. IEEE Trans Intel Transport Syst, 2019, 21(1): 7-29. |
| [10] | CAI Pinlong, HE Jia, LI Yikang. Hybrid cooperative intersection management for connected automated vehicles and pedestrians[J]. J Intel Connect Vehi, 2023, 6(2): 91-101. |
| [11] | ZHANG Long, CAO Wenjing, ZHANG Xinxin, et al. MAC2: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of vehicles[J]. Int J Distrib Sens Netw, 2018, 14(8): 1550147718793586. |
| [12] | Emil T, Das D S, Ganesh V, et al. Compute solution for tesla's full self-driving computer[J]. IEEE Micro, 2020, 40(2): 25-35. |
| [13] | Ryan S. Nvidia announces Drive PX 2-Pascal power for self-driving cars[/OL]. (2016-01-15). https://www.anandtech.com/show/9903/nvidia-announces-drive-px-2-pascal-power-for-selfdriving-cars. |
| [14] | Shinpei K, Shota T, Yuya M, et al. Autoware on board: Enabling autonomous vehicles with embedded systems// Proceed 2018 ACM/IEEE 9th Int'l Conf Cybe-Phys Syst (ICCPS). IEEE, 2018, Porto. |
| [15] | Nvidia. Nvidia boosts IQ of self-driving cars with world's first in-car artificial intelligence supercomputer[/OL]. 2016. (2024-2-15). https://nvidianews.nvidia.com/news/nvidia-boosts-iq-of-self-driving-cars-with-world-s-first-in-car-artificial-intelligence-supercomputer. |
| [16] | LI Zongdian, YU Tao, Ryuichi F, et al. Towards safe automated driving: Design of software-defined dynamic mmwave V2X networks and poc implementation[J]. IEEE Open J Vehi Tech, 2021, 2: 78-93. |
| [17] | Ozgenur K-T, Yaren S G, Ridvan M C, et al. V2X communication between connected and automated vehicles (CAVs) and unmanned aerial vehicles (UAVs)[J]. Sensors, 2022, 22(22): 8941. |
| [18] | LUO Qian, LIU Jiajia. Wireless telematics systems in emerging intelligent and connected vehicles: Threats and solutions[J]. IEEE Wireless Commun, 2018, 25(6): 113-119. |
| [19] | Hoofar S, Hooman S, Norhisham B, et al. A review on vehicle classification and potential use of smart vehicle-assisted techniques[J]. Sensors, 2020, 20(11): 3274. |
| [20] | CHEN Huimin, LIU Jiajia, WANG Jiadai, et al. Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures[J]. Vehi Commun, 2023, 39: 100548. |
| [21] | LI Xinghua, REN Yanbing, YANG Laurence T, et al. Perturbation-hidden: Enhancement of vehicular privacy for location-based services in internet of vehicles[J]. IEEE Trans Network Sci Eng, 2020, 8(3): 2073-2086. |
| [22] | Sadayuki T. Issues and recent trends in vehicle safety communication systems[J]. IATSS Res, 2005, 29(1): 7-15. |
| [23] | CHAN Chingyao. California intersection decision support: A systems approach to achieve nationally interoperable solutions[/OL]. 2005. (2024-2-18). https://escholarship.org/uc/item/9sr3x54h. |
| [24] | WU Xinzhou, Sundar S, Ratul G, et al. Vehicular communications using DSRC: Challenges, enhancements, and evolution[J]. IEEE J Sel Area Commun, 2013, 31(9): 399-408. |
| [25] | John B K. Dedicated short-range communications (DSRC) standards in the United States[J]. Proc IEEE, 2011, 99(7): 1162-1182. |
| [26] | Choi Eun-Ha. Crash factors in intersection-related crashes: An on-scene perspective[R]. Washington: NHTSA’s National Center for Statistics and Analysis, 2010.(2010-09-15). http://www-nrd.nhtsa.dot.gov/Pubs/811366.pdf. |
| [27] | Abdel K H, ZHAO Lian, Bobby M, et al. Performance analysis and enhancement of the DSRC for VANET's safety applications[J]. IEEE Trans Vehi Tech, 2013, 62(7): 3069-3083. |
| [28] | ZHOU Haibo, XU Wenchao, CHEN Jiacheng, et al. Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities[J]. Proc IEEE, 2020, 108(2): 308-23. |
| [29] | Hyunseo O, Chungil Y, Donghyon A, et al. 5.8 GHz DSRC packet communication system for ITS services[C]// Proceed Gateway to 21st Century Commun Village VTC 1999-Fall IEEE VTS 50th Vehi Tech Conf (Cat No 99CH36324), IEEE, 1999, Amsterdam, Netherlands. |
| [30] | LIN Kang-Chiao, LIN Chun-Huang. Development of telematics communication system with wave dsrc[C]// 2009 IEEE Int'l Conf Syst, Man and Cybernetics, IEEE, 2009, San Antonio, USA. |
| [31] | Salman M A, Mohammad A H, Jackeline R-T, et al. Freeway merge assistance system using DSRC[C]// Proceed 2nd ACM Int'l Workshop Smart, Autonom, Connect Vehi Syst Serv, 2017, Snowbird, USA. |
| [32] | XU Zhigang, LI Xiaochi, ZHAO Xiangmo, et al. DSRC versus 4G-LTE for connected vehicle applications: A study on field experiments of vehicular communication performance[J]. J Advan Transport, 2017, 2017(1): 2750452. |
| [33] | Aymen S, Faiza C, Lotfi K, et al. Experimental measurement for vehicular communication evaluation using OBU ARADA system[C]// Proceed 2015 Int'l Wireless Commun Mobi Comput Conf (IWCMC), IEEE, 2015, Dubrovnik, Croatia. |
| [34] | Jalal M K, Ahmed M K, Obaid U, et al. Communication in autonomous vehicles through 5G onboard units-understanding the experimental setup[C]// Proceed 2022 IEEE 22nd Int'l Conf Commun Tech (ICCT), IEEE, 2022, Nanjing, China. |
| [35] | YU Zhiyuan, JIN Doudou, SONG Xiaoxiao, et al. Internet of vehicle empowered mobile media scenarios: In-vehicle infotainment solutions for the mobility as a service (MaaS)[J]. Sustainability, 2020, 12(18): 7448. |
| [36] | KDDI Corporation. Providing KDDI’s network services, etc. to Toyota’s information network service “G-BOOK”[/OL]. 2002. (2024-3-15). https://www.kddi.com/corporate/news_release/kako/2002/1021/. |
| [37] | NEC. Asia-pacific premiere: First car with integrated 3G-UMTS services[/OL]. 2003. (2024-2-2). http://www.nec.co.jp/press/en/0301/1401.html. |
| [38] | YU Zhiyuan, JIN Doudou. Determinants of users’ attitude and intention to intelligent connected vehicle infotainment in the 5G-V2X mobile ecosystem[J]. Int'l J Envi Res Pub Heal, 2021, 18(19): 10069. |
| [39] | Ganeshkumar N, Sanjay K. Obu (on-board unit) wireless devices in vanet (s) for effective communication: A review[J]. Comput Meth Data Engi: Proceed ICMDE 2020, 2020, 2: 191-202. |
| [40] | Muthu C A, Madasamy S, Prabakaran R. Study on ZigBee technology[C]// Proceed 2011 3rd Int'l Conf Elect Comput Tech, IEEE, 2011, Kanyakumari, India. |
| [41] | LU Ning, CHENG Nan, ZHANG Ning, et al. Connected vehicles: Solutions and challenges[J]. IEEE Inter Things J, 2014, 1(4): 289-299. |
| [42] | Amitava G, Rapeepat R, Bishwarup M, et al. LTE-advanced: next-generation wireless broadband technology[J]. IEEE Wireless Commun, 2010, 17(3): 10-22. |
| [43] | QIAO Jian, CAI Lin X, SHEN Xuemin Sherman, et al. Enabling multi-hop concurrent transmissions in 60 GHz wireless personal area networks[J]. IEEE Transport Wireless Commun, 2011, 10(11): 3824-3833. |
| [44] | Ignacio S, Maria C, Oscar A, et al. A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies[J]. Vehi Commun, 2022, 33: 100428. |
| [45] | CHEN Shanzhi, HU Jinling, SHI Yan, et al. Vehicle-to-everything (V2X) services supported by LTE-based systems and 5G[J]. IEEE Commun Stand Mag, 2017, 1(2): 70-76. |
| [46] | MIAO Lili, Ethro V J, HUA Kailung. PC5-based cellular-V2X evolution and deployment[J]. Sensors, 2021, 21(3): 843. |
| [47] | Jacopo G, Yeojun K, Francesco B. Control of connected and automated vehicles: State of the art and future challenges[J]. Annu Rev Contr, 2018, 45: 18-40. |
| [48] | 陈山枝, 时岩, 胡金玲. 蜂窝车联网(C-V2X)综述[J]. 中国科学基金, 2020, 34(2): 7. |
| CHEN Shanzhi, SHI Yan, HU Jinling, et al. Cellular vehicle to everything (C-V2X) : A review[J]. Sci Foundat China, 2020, 34(2): 7. (in Chinese) | |
| [49] | CHU Wenbo, WUNIRI Qiqige, DU Xiaoping, et al. Cloud control system architectures, technologies and applications on intelligent and connected vehicles: A review[J]. Chin J Mech Engi, 2021, 34(1): 139. |
| [50] | CHEN Shanzhi, HU Jinling, SHI Yan, et al. A vision of C-V2X: Technologies, field testing, and challenges with Chinese development[J]. IEEE Internet Things J, 2020, 7(5): 3872-3881. |
| [51] | WANG Yang, NING Wei, ZHANG Shengyu, et al. Architecture and key terminal technologies of 5G-based internet of vehicles[J]. Comput Elect Eng, 2021, 95: 107430. |
| [52] | HUI Yilong, QIU Yi, SU Zhou, et al. Digital twins for intelligent space-air-ground integrated vehicular network: challenges and solutions[J]. IEEE Internet Things Mag, 2023, 6(3): 70-76. |
| [53] | Peter A, Lee G, Paul K, et al. A taxonomy and survey of edge cloud computing for intelligent transportation systems and connected vehicles[J]. IEEE Trans Intel Transport Syst, 2021, 23(7): 6206-6221. |
| [54] | Bernhard H, Vaibhav B, Jörg O, et al. A survey on cooperative architectures and maneuvers for connected and automated vehicles[J]. IEEE Commun Survey Tutor, 2021, 24(1): 380-403. |
| [55] | Nicholas H, HE Yijun, Amanda P. A fleet of miniature cars for experiments in cooperative driving[C]// Proceed 2019 Int'l Conf Robot Autom (ICRA). IEEE, 2019, Montreal, Canada. |
| [56] | WU Jiaming, QU Xiaobo. Intersection control with connected and automated vehicles: A review[J]. J Intel Connect Vehi, 2022, 5(3): 260-269. |
| [57] | LIU Bing, Abdelkader K E. V2X-based decentralized cooperative adaptive cruise control in the vicinity of intersections[J]. IEEE Trans Intel Transport Syst, 2015, 17(3): 644-658. |
| [58] | DONG Changqing, CHEN XiaoweI, DONG Haibo, et al. Research on intelligent vehicle infrastructure cooperative system based on zigbee[C]// Proceed 2019 5th Int'l Conf Transport Info Safe (ICTIS), IEEE, 2019, Liverpool, UK. |
| [59] | Shunsuke A, Ragunathan R. Cyber traffic light: Safe cooperation for autonomous vehicles at dynamic intersections[J]. IEEE Trans Intel Transport Syst, 2022, 23(11): 22519-2234. |
| [60] | MA Huisheng, LI Shufang, ZHANG Erqing, et al. Cooperative autonomous driving oriented MEC-aided 5G-V2X: Prototype system design, field tests and AI-based optimization tools[J]. IEEE Access, 2020, 8: 54288-542302. |
| [61] | CAO Wanke, GU Guangjian, ZHANG Lei, et al. Analysis and synthesis of cooperative adaptive cruise control against the hetero-integration poly-net loop delays[J]. IEEE Trans Ind Elect, 2023, 70(12): 12913-12925. |
| [62] | YANG Jianjun, CHEN Tinggui, Bryson P, et al. Generating routes for autonomous driving in vehicle-to-infrastructure communications[J]. Digit Commun Networks, 2020, 6(4): 444-451. |
| [63] | YANG Wei, WAN Bo, QU Xiaolei. A forward collision warning system using driving intention recognition of the front vehicle and V2V communication[J]. IEEE Access, 2020, 8: 11268-11278. |
| [64] | YANG Tangtao, ZHANG Yi, TAN Jiwen, et al. Research on forward collision warning system based on connected vehicle V2V communication[C]// Proceed 2019 5th Int'l Conf Transport Info Safe (ICTIS). IEEE, 2019, Liverpool, UK. |
| [65] | Shahab H, Ghulam A, HAQ Z A, et al. P-DACCA: A probabilistic direction-aware cooperative collision avoidance scheme for VANETs[J]. Future Gener Comput Syst, 2020, 103: 1-17. |
| [66] | DUAN Xuting, JIANG Hang, TIAN Daxin, et al. V2I based environment perception for autonomous vehicles at intersections[J]. China Commun, 2021, 18(7): 1-12. |
| [67] | Radovan M, Ashish S, Zeljko M, et al. V2X applications using collaborative perception[C]// Proceed 2018 IEEE 88th Vehi Tech Conf (VTC-Fall), IEEE, 2018, Chicago, USA. |
| [68] | SHAN Mao, Karan N, WONG Yung FEI, et al. Demonstrations of cooperative perception: Safety and robustness in connected and automated vehicle operations[J]. Sensors, 2020, 21(1): 200. |
| [69] | LI Zongdian, YU Tao, Ryuichi F, et al. Proof-of-concept of a sdn based mmwave v2x network for safe automated driving[C]// Proceed 2019 IEEE Global Commun Conf (GLOBECOM). IEEE, 2019, Waikoloa, USA. |
| [70] | ZHANG Chi, Florian S, Gereon H, et al. Occlusion-aware planning for autonomous driving with vehicle-to-everything communication[J]. IEEE Trans Intel Veh, 2023, 9(1): 1229-1242. |
| [71] | Kazuki M, Miyuu T, Ryuichi F, et al. Blind-spot visualization via AR glasses using millimeter-wave V2X for safe driving[C]// Proceed 2021 IEEE 94th Vehi Tech Conf (VTC2021-Fall). IEEE, 2021, Norman, USA. |
| [72] | Claudia C, Antonella M. On vehicle-to-roadside communications in 802.11 p/WAVE VANETs[C]// Proceed 2011 IEEE Wireless Commun Network Conf. IEEE, 2011, Cancun, Mexico. |
| [73] | Anderson Q, Eduardo O, Maria B, et al. A Survey on blockchain and edge computing applied to the internet of vehicles[C]// Proceed 2020 IEEE Int'l Conf Advan Networks Telecommun Syst (ANTS). IEEE, 2020, New Delhi, India. |
| [74] | Olmos A G, Vazquez-Gallego F, Roshan S, et al. An automotive cooperative collision avoidance service based on mobile edge computing[C]// Proceed Ad-Hoc, Mobile, Wireless Networks: 18th Int'l Conf Ad-Hoc Network Wireless, ADHOC-NOW 2019. Springer, 2019, Luxembourg. |
| [75] | CUI Mingyue, ZHONG Shipeng, LI Boyang, et al. Offloading autonomous driving services via edge computing[J]. IEEE Internet Things J, 2020, 7(10): 10535-10547. |
| [76] | Donghyun Y, Hsu Ruei-Hau, Lee Jemin, et al. EC-SVC: Secure can bus in-vehicle communications with fine-grained access control based on edge computing[J]. IEEE Trans Info Forensics Secur, 2022, 17: 1388-13403. |
| [77] | HU Fangyi, LV Lingling, ZHANG Tongliang, et al. Vehicular task scheduling strategy with resource matching computing in cloud-edge collaboration[J]. IET Collab Intel Manuf, 2021, 3(4): 334-344. |
| [78] | WANG Kun, WANG Xiaofeng, LIU Xuan. A high reliable computing offloading strategy using deep reinforcement learning for iovs in edge computing[J]. J Grid Comput, 2021, 19(2): 15. |
| [79] | Anselme D, Khoa K N, Mohamed C. Age of processing-based data offloading for autonomous vehicles in multirats open ran[J]. IEEE Trans Intel Transport Syst, 2022, 23(11): 21450-21464. |
| [80] | KU Yu-Jen, Sabur B, Sujit D. Uncertainty-aware task offloading for multi-vehicle perception fusion over vehicular edge computing[J]. IEEE Trans Vehi Tech, 2023, 72(11): 14906-14923. |
| [81] | NING Zhaolong, HUANG Jun, WANG Xiaojie. Vehicular fog computing: Enabling real-time traffic management for smart cities[J]. IEEE Wireless Commun, 2019, 26(1): 87-93. |
| [82] | SOHAN G, XU Shengjie, QIAN Yi, et al. Challenges and solutions for cellular based V2X communications[J]. IEEE Commun Surv Tutor, 2020, 23(1): 222-255. |
| [83] | Sudip M, Samaresh B. Soft-VAN: Mobility-aware task offloading in software-defined vehicular network[J]. IEEE Trans Vehi Tech, 2019, 69(2): 2071-2078. |
| [84] | LIU Xuejiao, CHEN Wei, XIA Yingjie, et al. SE-VFC: Secure and efficient outsourcing computing in vehicular fog computing[J]. IEEE Trans Netw Serv Manag, 2021, 18(3): 3389-3399. |
| [85] | LI Yuwei, YANG Bo, WU Hao, et al. Joint offloading decision and resource allocation for vehicular fog-edge computing networks: A contract-stackelberg approach[J]. IEEE Internet Things J, 2022, 9(17): 15969-15982. |
| [86] | WEI Zhiwei, LI Bing, ZHANG Rongqing, et al. Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach[J]. IEEE Trans Mobi Comput, 2023, 23(3): 2107-2122. |
| [87] | Kobra B, Nazbanoo F, Mohsen J, et al. A comprehensive survey on using fog computing in vehicular networks[J]. Vehi Commun, 2023: 100604. |
| [88] | Ahmad H, Hani S, Azzam M, et al. AI, blockchain, and vehicular edge computing for smart and secure IoV: Challenges and directions[J]. IEEE Internet Things Mag, 2020, 3(2): 68-73. |
| [89] | HU Zhongxu, LOU Shanhe, XING Yang, et al. Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles[J]. IEEE Trans Intel Vehi, 2022, 7(3): 417-440. |
| [90] | LIAO Xishun, WANG Ziran, ZHAO Xuanpeng, et al. Cooperative ramp merging design and field implementation: A digital twin approach based on vehicle-to-cloud communication[J]. IEEE Trans Intel Transp Syst, 2021, 23(5): 4490-4500. |
| [91] | WANG Kui, LI Zongdian, Kazuma N, et al. Smart mobility digital twin based automated vehicle navigation system: A proof of concept[J]. IEEE Trans Intel Vehi, 2024, 9(3): 4348-4361. |
| [92] | ZHAO liang, HAN Guangjie, LI Zhuhui, SHU Lei. Intelligent digital twin-based software-defined vehicular networks[J]. IEEE Network, 2020, 34(5): 178-184. |
| [93] | HUI Yilong, WANG Qiangqiang, CHENG Nan, et al. Time or reward: Digital-twin enabled personalized vehicle path planning[C]// Proceed 2021 IEEE Global Commun Conf (GLOBECOM). IEEE, 2021, Madrid, Spain. |
| [94] | HUI Yilong, QIU Yi, CHENG Nan, et al. Digital twin enabled on-demand content delivery in HetVNets[J]. IEEE Internet Things J, 2023, 10(16): 14028-14041. |
| [95] | WANG Ziran, Kyungtae H, Prashant T. Digital twin-assisted cooperative driving at non-signalized intersections[J]. IEEE Trans Intel Vehi, 2021, 7(2): 198-209. |
| [96] | WANG Kui, LI Zongdian, YU Tao, et al. Smart mobility digital twin for automated driving: Design and proof-of-concept[C]// Proceed 2023 IEEE 97th Vehi Tech Conf (VTC2023-Spring). IEEE, 2023, Florence, Italy. |
| [97] | WANG Liangmin, LIU Xiaolong. NOTSA: Novel OBU with three-level security architecture for internet of vehicles[J]. IEEE Internet Things J, 2018, 5(5): 3548-3558. |
| [98] | FENG Yiheng, YU Chunhui, XU Shaobing, et al. An augmented reality environment for connected and automated vehicle testing and evaluation[C]// Proceed 2018 IEEE Intel Vehi Symp (IV), IEEE, 2018, Changshu, China. |
| [1] | 徐明诚, 徐利伟, 殷国栋, 董锋威. 燃油车和纯电车混杂智能网联队列系统的节能与稳定控制[J]. 汽车安全与节能学报, 2024, 15(1): 71-82. |
| [2] | 杨金松, 赵德宗, 江菁晶, 蓝江林, 李亮. 异构智能网联车辆编队的双阶段节能驾驶控制策略(英文)[J]. 汽车安全与节能学报, 2022, 13(4): 676-685. |
| [3] | 冯耀, 景首才, 惠飞, 赵祥模, 刘建蓓. 基于深度强化学习的智能网联车辆换道轨迹规划方法[J]. 汽车安全与节能学报, 2022, 13(4): 705-717. |
| [4] | 关小魁, 胡茂彬. 智能网联汽车基于分组交替的协同合并策略[J]. 汽车安全与节能学报, 2022, 13(3): 482-488. |
| [5] | 杨超, 杜雪龙, 王伟达, 项昌乐. 智能网联环境下的PHEV实时优化能量管理策略研究[J]. 汽车安全与节能学报, 2021, 12(2): 210-218. |
| [6] | 赵万忠, 张寒, 邹松春, 徐坤豪, 刘畅. 线控转向系统控制技术综述[J]. 汽车安全与节能学报, 2021, 12(1): 18-34. |
| [7] | 李克强, 李家文, 常雪阳, 高博麟, 许庆, 李升波. 智能网联汽车云控系统原理及其典型应用[J]. 汽车安全与节能学报, 2020, 11(3): 261-275. |
| [8] | 赵福全,刘宗巍,郝 瀚,等. 汽车产业变革的特征、趋势与机遇[J]. JASE, 2018, 9(3): 233-249. |
| [9] | 冉 斌,谭华春,张 健,曲 栩. 智能网联交通技术发展现状及趋势[J]. JASE, 2018, 9(2): 119-130. |
| [10] | 李克强,戴一凡,李升波,边明远. 智能网联汽车( ICV ) 技术的发展现状及趋势[J]. JASE, 2017, 08(01): 1-14. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||