Abstract
Intelligent transportation system (ITS) helps to improve traffic efficiency and ensure traffic safety. The core of this system is the collection and analysis of sensor data and vehicle communication technologies. The challenges of ITS mainly focus on two aspects: computing and communication, while security and interoperability are the prerequisites of the system. Existing network architecture and communication technology still cannot meet the demand for advanced intelligent driving support and rapid development of intelligent transportation. As an emerging concept, fog computing is proposed for various IoT scenarios and can address the challenges in intelligent transportation system. Fog computing enables the critical functions of ITS by collaborating, cooperating, and utilizing the resources of underlying infrastructures within roads, smart highways, and smart cities. Fog computing will address the technical challenges in ITS and will help scale the deployment environment for billions of personal and commercial smart vehicles. In this chapter, we first introduced the definition and development of ITS, describing the ecosystem composition and their respective requirements. Then, we explained the challenges and a stage-of-the-art of ITS, mainly focusing on vehicle station and communication network. To present fog computing, the architecture of fog-enabled ITS was provided. And we also discussed how fog computing can address the technical challenges and provide strong support for ITS. Finally, several use cases in fog-enabled ITS, including autonomous driving, cooperative driving, and shared vehicles, are shown in this chapter, which further verifies the benefits that fog computing can bring to ITS.
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References
Shawe-Taylor J, De Bie T, Cristianini N (2006) Data mining, data fusion and information management. IEE Proc Intell Transp Syst 153(3):221–229
Al-Dweik AJ, Mayhew M, Muresan R, Ali SM, Shami A (2017) Using technology to make roads safer: adaptive speed limits for an intelligent transportation system. IEEE Veh Technol Mag 12(1):39–47
An S, Lee B, Shin D (2011) A survey of intelligent transportation systems. In: Third international conference on computational intelligence, communication systems and networks, Bali, pp. 332–337
Rosen DA, Mammano FJ, Favout R (1970) An electronic route-guidance system for highway vehicles. IEEE Trans Veh Technol 19(1):143–152
U.S. department of transportation. DOT strategic plan [eb/ol]. https://www.transportation.gov/dot-strategic-plan
U.S. department of transportation. DOT strategic plan for fy2018-2022 [eb/ol]. https://www.transportation.gov/sites/dot.gov/files/docs/mission/administrations/office-policy/304866/dot-strategic-plan-fy2018-2022508.pdf.
Verweij F (2005) Cooperative vehicle-infrastructure systems
Vehicle information and communication system (2013) How VICS works [eb/ol]. http://www.vics.or.jp/english/vics/index.html
UTMS society of Japan (2013) About UTMS: universal traffic management systems [eb/ol]. http://www.utms.or.jp/english/system/index.html
Lu HP, Li RM (2014) Developing trend of its and strategy suggestions. J Eng Stud 3(1):6–19
Ge Y, Liu X, Tang L, West DM (2017) Smart transportation in China and the United States. Center for Technology Innovation, Brookings Institution, Washington
Shah AA, Mahalik NP, Namkoong J, Lee JD (2006) Intelligent transportation-deployment and development process in Korea. WIT Trans Built Environ 22:89
Zhang J, Wang FY, Wang K, Lin WH, Xu X, Chen C (2011) Data-driven intelligent transportation systems: a survey. IEEE Trans Intell Transp Syst 12(4):1624–1639
Zhao M, Walker J, Wang CC (2013) Challenges and opportunities for securing intelligent transportation system. IEEE J Emerging Sel Top Circuits Syst 3(1):96–105
Renesas electronics corporation. In-vehicle networking solutions [eb/ol]. https://www.renesas.com/en-us/solutions/automotive/technology/networking.html
Miller C, Valasek C (2015) Remote exploitation of an unaltered passenger vehicle. Black Hat USA 2015
He Y, Gui He Q, Ming Hui S, Xin Y, Xuan Zhe W (2016) Cyber security and anomaly detection method for in-vehicle can. J Jilin Univ 46(4):1246–1253
ETSI. Intelligent transport systems (ITS) vehicular communications; GeoNetworking; part 3: Network architecture [eb/ol]
Kosch T, Kulp I, Bechler M, Strassberger M, Weyl B, Lasowski R (2009) Communication architecture for cooperative systems in Europe. Commun. Mag. IEEE 47(5):116–125
Wu X, Subramanian S, Guha R, White RG, Li J, Lu KW, Bucceri A, Zhang T (2013) Vehicular communications using DSRC: challenges, enhancements, and evolution. IEEE J Sel Areas Commun 31(9):399–408
Xu Q, Mak TK, Ko J, Sengupta R (2004) Vehicle-to-vehicle safety messaging in DSRC. In: International workshop on vehicular ad hoc networks, 2004, Philadelphia, PA, October, pp 19–28
OpenFog reference architecture for fog computing (2017) OpenFog Consortium
Dastjerdi AV, Gupta H, Calheiros RN, Ghosh SK, Buyya R (2016) Fog computing: Principles, architectures, and applications
Bellavista P, Zanni A (2017) Feasibility of fog computing deployment based on Docker containerization over raspberry pi. In: Proceedings of the 18th international conference on distributed computing and networking, ICDCN ’17
Kaur K, Dhand T, Kumar N, Zeadally S (2017) Container-as-a-service at the edge: trade-off between energy efficiency and service availability at fog nano data centers. IEEE Wirel Commun 24(3):48–56
Hou X, Li Y, Chen M, Wu D, Jin D, Chen S (2016) Vehicular fog computing: a viewpoint of vehicles as the infrastructures. IEEE Trans Veh Technol 65(6):3860–3873
Truong NB, Lee GM, Ghamri-Doudane Y (2015) Software defined networking-based vehicular ad hoc network with fog computing. In: IFIP/IEEE international symposium on integrated network management, pp 1202–1207
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Yang, Y., Luo, X., Chu, X., Zhou, MT. (2020). Fog-Enabled Intelligent Transportation System. In: Fog-Enabled Intelligent IoT Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-23185-9_6
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DOI: https://doi.org/10.1007/978-3-030-23185-9_6
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