Abstract
In recent years, IoV (Internet of Vehicles) has become one of the most active research fields in network and intelligent transportation system. As an open converged network, IoV plays an important role in solving various driving and traffic problems by advanced information and communications technology. We review the existing notions of IoV from different perspectives. Then, we provide our notion from a network point of view and propose a novel IoV architecture with four layers. Particularly, a novel layer named coordinative computing control layer is separated from the application layer. The novel layer is used for solving the coordinative computing and control problems for human-vehicle-environment. After summarizing the key technologies in IoV architecture, we construct a VV (Virtual Vehicle), which is an integrated image of driver and vehicle in networks. VVs can interact with each other in cyber space by providing traffic service and sharing sensing data coordinately, which can solve the communication bottleneck in physical space. Finally, an extended IoV architecture based on VVs is proposed.
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W. Sun. Internet of Vehicles [J]. Advances in media technology, 2013: 47.
H. M. Mora, D. Gil, J. F. C. Lpez, et al. Flexible framework for real-time embedded systems based on mobile cloud computing paradigm [J]. Mobile information systems, 2015: ID 652462.
K. M. Alam, M. Saini, A. El Saddik. Toward social internet of vehicles: concept, architecture, and applications [J]. IEEE access, 2015, 3: 343–357.
J. Markoff. Google cars drive themselves, in traffic [J]. The New York times, 2010, 10(A1): 9.
A. Slywotzky, R. Wise. Demand innovation: GMs On-Star case [J]. Strategy & leadership, 2003, 31(4): 17–22.
H. Hartenstein, K. Laberteaux. VANET vehicular applications and inter-networking technologies [M]. Manhattan: John Wiley & Sons, 2009.
K. Li. Status and strategic recommendations of development on intelligent connected vehicle [J]. Auto business review, 2016, (2): 170–175.
J. L. Li, Z. H. Liu, F. C. Yang. Internet of Vehicles: the framework and key technology [J]. Journal of Beijing University of Posts & Telecommunications, 2014, 37: 95–100.
D. A. Johnson, M. M. Trivedi. Driving style recognition using a smartphone as a sensor platform [C]//The 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011: 1609–1615.
C. Tran, M. M. Trivedi. Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: Issues and possibilities [C]//Intelligent Vehicles Symposium (IV), 2010: 179–184.
R. Baldessari, B. Bdekker, M. Deegener, et al. Car-2-car communication consortium-manifesto [J]. Car 2 car communication consortium, 2007.
E. Guizzo. How googles self-driving car works [J]. IEEE spectrum online, 2011.
H. Zhou, H. Kong, L. Wei. Efficient road detection and tracking for unmanned aerial vehicle [J]. IEEE transactions on intelligent transportation systems, 2015, 16(1): 297–309.
J. M. Á. Alvarez, A. M. Lopez. Road detection based on illuminant invariance [J]. IEEE transactions on intelligent transportation systems, 2011, 12(1): 184–193.
B. S. Kerner, H. Rehborn, R. P. Schfer, et al. Traf-fic dynamics in empirical probe vehicle data studied with three-phase theory: spatiotemporal reconstruction of traffic phases and generation of jam warning messages [J]. Physica a: statistical mechanics and its applications, 2013, 392(1): 221–251.
S. Santini, A. Salvi, A. Valente, et al. A consensus-based approach for platooning with inter-vehicular communications [C]//IEEE Conference on Computer Communications (INFOCOM), 2015: 1158–1166.
R. Siegwart, I. R. Nourbakhsh, D. Scaramuzza. Introduction to autonomous mobile robots [M]. Cambridge: MIT press, 2011.
A. L. Meyrowitz, D. R. Blidberg, R. C. Michelson. Autonomous vehicles [J], Proceedings of the IEEE, 1996, 84(8): 1147–1164.
C. Urmson, J. Anhalt, D. Bagnell, et al. Autonomous driving in urban environments: boss and the urban challenge [J]. Journal of field robotics. 2008, 25(8): 425–466.
D. Ferguson, T. M. Howard, M. Likhachev. Motion planning in urban environments: part ii [C]//IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008: 1070–1076
M. Slosson, C. Johnston, P. Barbara. Google gets first self-driven car license in Nevada [EB/OL]. https://www.dawn.com/news/716695/google-gets-firstself-driven-car-license-in-nevada, 2012.
P. Falcone, F. Borrelli, J. Asgari, et al. Predictive active steering control for autonomous vehicle systems [J]. IEEE transactions on control systems technology, 2007, 15(3): 566–580.
D. W. Whitcomb, W. F. Milliken. Design implications of a general theory of automobile stability and control [J]. Proceedings of the institution of mechanical engineers: automobile division, 1956, 10: 367–425.
L. Segel. Theoretical prediction and experimental substan-tiation of the response of the automobile to steering control [J]. Proceedings of the institution of mechanical engineers: automo-bile division, 1956: 310–330.
J. Hedrick, M. Tomizuka, P. Varaiya. Control issues in automated highway systems [J]. IEEE control systems, 1994, 14(6): 21–32.
L. Li, F. Y. Wang, Y. Zhang. Research and developments of intelligent driving behavior analysis [J]. Acta automatica sinica, 2007, 33(10): 1014–1022.
J. Wang, D. Zhang, J. Liu, et al. V2I-based multiobjective driver assistance system for intersection support [C]//International IEEE conference on intelligent transportation systems, 2010: 348–353.
J. C. McCall, M. M. Trivedi. Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation [J]. IEEE transactions on intelligent transportation systems, 2006, 7(1): 20–37.
J. Hilgert, K. Hirsch, T. Bertram, et al. Emergency path planning for autonomous vehicles using elastic band theory [C]//IEEE/ASME International Conference Advanced Intelligent Mechatronics, 2003: 1390–1395.
L. Fletcher, L. Petersson, A. Zelinsky. Road scene monotony detection in a fatigue management driver assistance system [C]//Intelligent Vehicles Symposium, 2005: 484–489.
D. T. McRuer, L. Hofmann, H. Jex, et al. New approaches to human-pilot/vehicle dynamic analysis [M]. Hawthorne: Systems Technology, Inc., 1968.
D. Jiang, V. Taliwal, A. Meier, et al. Design of 5.9 GHz DSRC-based vehicular safety communication [J]. IEEE wireless communications, 2006, 13(5): 36–43.
U. Lee, M. Gerla. A survey of urban vehicular sensing platforms [J]. Computer networks, 2010, 54(4): 527–544.
M. Kakkasageri, S. Manvi. Information management in vehicular Ad hoc networks: a review [J]. Journal of network and computer applications, 2014, 39(1): 334–350.
V. Cevher, R. Chellappa, J. H. McClellan. Vehicle speed estimation using acoustic wave patterns [J]. IEEE transactions on signal processing, 2009, 57(1): 30–47.
C. W. Hsu, C. H. Hsu, H. R. Tseng. MAC channel con-gestion control mechanism in IEEE 802.11 p/WAVE vehicle networks [C]//Vehicular Technology Conference (VTC Fall), 2011: 1–5.
X. Shen, X. Cheng, R. Zhang, et al. Distributed congestion control approaches for the IEEE 802.11p vehicular networks [J]. IEEE intelligent transportation systems magazine, 2013, 5(4): 50–61.
S. Sesia, M. Baker, I. Toufik. LTE-the UMTS long term evolution: from theory to practice [M]. Manhattan: John Wiley & Sons, 2011.
J. Mosyagin. Using 4G wireless technology in the car [C]//International Conference on Transparent Optical Networks, 2010: 1–4.
G. Araniti, C. Campolo, M. Condoluci, et al. LTE for vehicular networking: a survey [J]. IEEE communications magazine, 2013, 51(5): 148–157.
J. Thota, R. Almesaeed, A. Doufexi, et al. Infrastructure to vehicle throughput performance in LTE-A using 2D and 3D 3GPP/ITU channel models [C]//Vehicular Technology Conference (VTC Spring), 2015: 1–5.
T. Cai, G. P. Koudouridis, C. Qvarfordt, et al. Coverage and capacity optimization in EUTRAN based on central coordination and distributed Gibbs sampling [C]//Vehicular Technology Conference (VTC 2010-Spring), 2010: 1–5.
L. Militano, M. Condoluci, G. Araniti, et al. Bargaining solutions for multicast subgroup formation in LTE [C]//Vehicular Technology Conference (VTC Fall), 2012: 1–5.
Y. Yang, H. Hu, J. Xu, et al. Relay technologies for WiMAX and LTE-advanced mobile systems [J]. IEEE communications magazine, 2009, 47(10): 100–105.
T. Sukuvaara, C. Pomalaza-Rez. Vehicular networking pilot system for vehicle-to-infrastructure and vehicleto-vehicle communications [J]. International journal of communication networks and information security, 2009, 1(3): 1–11.
Y. Cao, J. Guo, Y. Wu. SDN enabled content distribution in vehicular networks [C]//International Conference on Innovative Computing Technology (INTECH), 2014: 164–169.
Z. He, J. Cao, X. Liu. SDVN: enabling rapid network innovation for heterogeneous vehicular communication [J]. IEEE network, 2016, 30(4): 10–15.
R. Keller, T. Lohmar, R. Tonjes, et al. Convergence of cellular and broadcast networks from a multi-radio perspective [J]. IEEE personal communications, 2001, 8(2): 51–56.
L. Zeng, Q. Han, X. Wu, et al. Abnormal vehicle oriented infrastructure based on wireless sensor network and cloud computing [J]. Sensor letters, 2013, 11(5): 918–925.
M. Gerla. Vehicular cloud computing [C]//Annual Mediterranean on Ad hoc Networking Workshop (Med-Hoc-Net), 2012: 152–155.
Y. Qin, D. Huang, X. Zhang. Vehicloud: cloud computing facilitating routing in vehicular networks [C]//International Conference on Trust, Security and Privacy in Computing and Communications, 2012: 1438–1445.
H. Abid, L. T. T. Phuong, J. Wang, et al. V-Cloud: vehicular cyber-physical systems and cloud computing [C]//International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011,165.
J. Wan, D. Zhang, Y. Sun, et al. VCMIA: a novel architecture for integrating vehicular cyber-physical sys-tems and mobile cloud computing [J]. Mobile networks and applications, 2014, 19(2): 153–160.
F. C. Yang, S. G. Wang, J. L. Li, et al. An overview of internet of vehicles [J]. China communications, 2014, 11(10): 1–15.
D. Naboulsi and M. Fiore. On the instantaneous topology of a large-scale urban vehicular network: the cologne case [C]//ACM International Symposium on Mobile Ad hoc Networking and Computing, 2013: 167–176.
H. Ghaffarian, M. Fathy, M. Soryani. Vehicular Ad hoc networks enabled traffic controller for removing traffic lights in isolated intersections based on integer linear programming [J]. IET intelligent transport systems, 2012, 6(2): 115–123.
C. Wang, J. Li, F. Ye, et al. Multi-vehicle coordination for wireless energy replenishment in sensor networks [C]//International Symposium on Parallel & Distributed Processing (IPDPS), 2013: 1101–1111.
J. H. Liu, J. M. Sun, J. P. Bi, et al. VANET cooperative downloading approach study based on dynamic slot [J]. Jisuanji xuebao (Chinese journal of computers), 2011, 34(8): 1378–1386.
J. Lee, B. Park. Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment [J]. IEEE transactions on intelligent transportation systems, 2012, 13(1): 81–90.
V. Milans, J. Alonso, L. Bouraoui, et al. Cooperative maneuvering in close environments among cybercars and dualmode cars [J]. IEEE transactions on intelligent transportation systems, 2011, 12(1): 15–24.
R. Fei, K. Yang, X. Cheng. A cooperative social and vehic-ular network and its dynamic bandwidth allocation algorithms [C]//IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2011: 63–67
G. Vivo, P. Dalmasso, F. Vernacchia. The European Integrated Project" SAFESPOT"-How ADAS applications cooperate for the driving safety [C]//IEEE Intelligent Transportation Systems Conference, 2007: 624–629.
V. Desaraju, H. C. Ro, M. Yang, et al. Partial order techniques for vehicle collision avoidance: application to an autonomous roundabout testbed [C]//IEEE International Conference on Robotics and Automation, 2009: 82–87.
J. M. Duperret, M. R. Hafner, D. D. Vecchio. Formal design of a provably safe robotic roundabout system [C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010: 2006–2011.
M. Hafner, D. Cunningham, L. Caminiti, et al. Automated vehicle-to-vehicle collision avoidance at intersections [C]//World Congress on Intelligent Transport Systems, 2011.
E. Hossain, G. Chow, V. C. Leung, et al. Vehicular telematics over heteroge-neous wireless networks: a survey [J]. Computer communications, 2010, 33(7): 775–793.
A. Colombo, D. D. Vecchio. Efficient algorithms for collision avoidance at intersections [C]//ACM International Conference on Hybrid Systems: Computation and Control, 2012: 145–154.
J. S. Sussman. Perspectives on intelligent transportation systems (ITS) [M]. Dordrecht: Springer Science & Business Media, 2008.
L. Li, F. Y. Wang. Cooperative driving at blind crossings using intervehicle communication [J]. IEEE transactions on vehicular technology, 2006, 55(6): 1712–1724.
D. B. Rawat, C. Bajracharya, G. Yan. Towards intelligent transportation cyber-physical systems: real-time computing and communications perspectives [C]//IEEE SoutheastCon, 2015, 9(3): 1–6.
C. W. Chen, X. C. Chen, I. H. Peng, et al. Study of safety and efficient routing for intelligent transportation system [C]//Asian Himalayas International Conference on Internet, 2009: 1–5.
Z. Li, C. Chen, K. Wang. Cloud computing for agentbased urban transportation systems [J]. IEEE intelligent systems, 2011, 26(26): 73–79.
G. Karagiannis, O. Altintas, E. Ekici, et al. Vehicular networking: a survey and tutorial on re-quirements, architectures, challenges, standards and solutions [J]. IEEE communications surveys & tutorials, 2011, 13(4): 584–616.
P. Nijkamp, G. Pepping, D. Banister. Telematics and transport behaviour [M]. Dordrecht: Springer Science & Business Media, 2012.
M. B. Phalake, D. M. Bhalerao. Vehicle telematics system using GPRS [J]. International journal of computer applications in technology, 2011, 2(1): 132–135.
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This work is supported by the National Science and Technology Major Project of China (No. 2016ZX03001025-003), Special Fund for Beijing Common Construction Project.
Fangchun Yang received his Ph.D. degree in communications and electronic systems from Beijing University of Posts and Telecommunications (BUPT), China. He is currently a professor at the State Key Laboratory of Networking and Switching Technology, BUPT. He is a fellow of the IET. His current research interests include network intelligence, service computing, Internet of Vehicle.
Jinglin Li [corresponding author] received his Ph.D. degree in computer science and technology from Beijing University of Posts and Telecommunications (BUPT), China. He is currently an associate professor at the State Key Laboratory of Networking and Switching Technology, BUPT. His research interests are mainly in the areas of network intelligence, mobile Internet, Internet of Things, Internet of Vehicles.
Tao Lei received his M.E. in computer science and technology from North China University of Water Resources and Electric Power, China. He is currently a Ph.D. candidate at Beijing University of Posts and Telecommunications (BUPT). His research interests include mobile computing, multiagent system, Internet of Vehicle.
Shangguang Wang received his Ph.D. degree in computer science and technology from Beijing University of Posts and Telecommunications (BUPT), China. He is currently associate professor at the State Key Laboratory of Networking and Switching Technology, BUPT. He is a senior member of the IEEE., vice chair of IEEE Computer Society Technical Committee on Services Computing, president of the Service Society Young Scientist Forum in China. His research interests include IoV, service computing, cloud computing, and QoS management.
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Yang, F., Li, J., Lei, T. et al. Architecture and key technologies for Internet of Vehicles: a survey. J. Commun. Inf. Netw. 2, 1–17 (2017). https://doi.org/10.1007/s41650-017-0018-6
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DOI: https://doi.org/10.1007/s41650-017-0018-6