Abstract
The current transportation architectures are heavily populated with smart devices and entities due to unfolded technological evolutions in Intelligent Transportation Systems (ITS). The ITS ecosystem, when introduced to Internet of Things (IoT) makes every object active and brings them online. Such devices generate data deluge that demand scalable storage and computational resources. Though centralized cloud-based solutions significantly circumvent those demands, but the current deployments still have silos and cease to meet the analytics and computational exigencies for such dynamic ITS subsystems. In this work, we investigate the current state of cloud-based solutions for fulfilling the mission-critical store and compute requirements of IoT-aided ITS architectures and revisit the motivations for adopting edge-centered fog computing paradigms. We also proposed a fog computing topology customized to ITS architectures. Further, the viability of proposed fog framework is demonstrated through a smart parking case study. Results show a significant improvement performance in terms of probabilistic QoS guarantees for private parking land owners, at the expense of a relatively small number of reserve premium spaces.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, J., Wang, F., Wang, K., Lin, W., Xu, X., Chen, C.: Data-driven intelligent transportation systems: a survey. IEEE Trans. Intell. Transp. Syst. 12(4), 1624–1639 (2011)
Perera, C., Qin, Y., Estrella, J.C., Reiff-marganiec, S., Vasilakos, A.V.: Fog Computing for Sustainable Smart Cities: A Survey. ACM Computing Surveys (2017) (Yet to be Published)
Pham, T.N.A.M., Tsai, M., Nguyen, D.U.C.B.: A cloud-based smart-parking system based on internet-of-things technologies. IEEE Access, 1581–1591 (2015)
Tubaishat, M., Zhuang, P., Qi, Q., Shang, Y.: Wireless sensor networks in intelligent transportation systems. Wirel. Commun. Mob. Comput. 287–302 (2009)
Hou, X., et al.: Vehicular fog computing: a viewpoint of vehicles as the infrastructures. IEEE Trans. Vehi. Technol. 65(6), 3860–3873 (2016)
Yigit, M., Gungor, V.C., Baktir, S.: Cloud computing for smart grid applications. Comput. Netw. (2014)
Tang, B., et al.: Incorporating intelligence in fog computing for big data analysis in smart cities. IEEE Trans. Ind. Inf. 3203(c), 1–11 (2017)
Paper, I.: Fog and IoT : an overview of. IEEE Internet Things J. 3(6), 854–864 (2016)
Giang, N.K., Leung, V.C.M., Lea, R.: On developing smart transportation applications in fog computing paradigm. In: ACM, DIVANet’16, Malta, Malta, 13–17 Nov 2016, pp. 91–98
Wu, D., Zhang, Y., Bao, L., Regan, A.C.: Location-based crowd sourcing for vehicular communication in hybrid networks. IEEE Trans. Intell. Transp. Syst. 14(2), 837–846 (2013)
Pham, T.N., Tsai, M.-F., Nguyen, D.B., Dow, C.-R., Deng, D.-J.: A cloud-based smart-parking system based on internet-of-things technologies. IEEE Access 3, 1581–1591 (2015)
Kotb, A.O., Shen, Y.C., Zhu, X., Huang, Y.: IParker-a new smart car-parking system based on dynamic resource allocation and pricing. IEEE Trans. Intell. Transp. Syst. 17(9), 2637–2647 (2016)
Yu, X., Xue, Y.: Smart grids : a cyber—physical systems perspective, 1–13 (2016)
He, W., Yan, G., Da Xu, L., Member, S.: Developing vehicular data cloud services in the iot environment. IEEE Trans. Ind. Inform. 10(2), 1587–1595 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Muzakkir Hussain, M., Khan, F., Alam, M.S., Sufyan Beg, M.M. (2019). Fog Computing for Ubiquitous Transportation Applications—A Smart Parking Case Study. In: Ray, K., Sharan, S., Rawat, S., Jain, S., Srivastava, S., Bandyopadhyay, A. (eds) Engineering Vibration, Communication and Information Processing. Lecture Notes in Electrical Engineering, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-13-1642-5_22
Download citation
DOI: https://doi.org/10.1007/978-981-13-1642-5_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1641-8
Online ISBN: 978-981-13-1642-5
eBook Packages: EngineeringEngineering (R0)