A Survey of the Connected Vehicle Landscape-Architectures, Enabling Technologies, Applications, and Development Areas

被引:263
作者
Siegel, Joshua E. [1 ]
Erb, Dylan C. [1 ]
Sarma, Sanjay E. [1 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
关键词
Connected vehicles; telematics; automotive applications; vehicular ad-hoc networks; automotive electronics; controller area network; vehicle-to-vehicle; vehicle-to-infrastructure; vehicle-to-roadside; vehicle-to-everything; V2V; V2I; V2X; V2R; V2B; intelligent transportation systems; automotive engineering; road transportation; VEHICULAR COMMUNICATION; IEEE; 802.11P; INFORMATION DISSEMINATION; SYSTEM; PRIVACY; SECURE; V2V; TELEMATICS; MANAGEMENT; PROTOCOLS;
D O I
10.1109/TITS.2017.2749459
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper summarizes the state of the art in connected vehicles-from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.
引用
收藏
页码:2391 / 2406
页数:16
相关论文
共 197 条
  • [51] Charlie Miller C. V., 2015, Tech. Rep.
  • [52] An Improved AOMDV Routing Protocol for V2V Communication
    Chen, Yufeng
    Xiang, Zhengtao
    Jian, Wei
    Jiang, Weirong
    [J]. 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 1115 - 1120
  • [53] Cho KY, 2006, INT J AUTO TECH-KOR, V7, P509
  • [54] Cho W., 2009, P 2009 IEEE VEH NETW, P1
  • [55] Choi K.-J. J., 2003, U.S. Appl. Note 09/983 746, Patent No. 09983746
  • [56] Conceiçao H, 2008, APPLIED COMPUTING 2008, VOLS 1-3, P28
  • [57] Neighbor-Aided Localization in Vehicular Networks
    Cruz, Susana B.
    Abrudan, Traian E.
    Xiao, Zhuoling
    Trigoni, Niki
    Barros, Joao
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (10) : 2693 - 2702
  • [58] Currie R., 2015, Developments in car hacking
  • [59] Dang RN, 2014, 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), P1923, DOI 10.1109/ITSC.2014.6957987
  • [60] Cooperative Intelligence of Vehicles for Intelligent Transportation Systems (ITS)
    Daniel, Alfred
    Paul, Anand
    Ahmad, Awais
    Rho, Seungmin
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2016, 87 (02) : 461 - 484