Loading [MathJax]/extensions/MathZoom.js
IoT Hybrid Computing Model for Intelligent Transportation System (ITS) | IEEE Conference Publication | IEEE Xplore

IoT Hybrid Computing Model for Intelligent Transportation System (ITS)


Abstract:

IoT - a new proliferation in the technological advancement, changed the way object is perceived and used. It enables connecting smart objects to the internet and aims to ...Show More

Abstract:

IoT - a new proliferation in the technological advancement, changed the way object is perceived and used. It enables connecting smart objects to the internet and aims to develop new promising future to Intelligent Transportation System (ITS). ITS uses techniques such as wireless communication, computational technologies, GPS, and sensor technologies to provide smart and quick services to users and to be better informed and make safer, more coordinated, and 'smarter' use of transportation medium. As number of objects connected to ITS application increases, the amount of data generated also increases and they are send to cloud for data analysis and knowledge discovery. However, sending and retrieving of data across cloud is less useful due to delay latency and others. An alternative to cloud is fog (edge) model that overcomes the weakness of cloud by analyzing and discovering knowledge at the edge. However, the fog computing model has limited computational capability. For an IoT enabled Intelligent Transportation System with enormous number of objects connected, neither cloud nor fog computing model addresses the issues alone. This paper focuses on presenting an IoT hybrid model for Intelligent Transportation System (ITS). We also address the effectiveness of the model by discussing use case scenarios.
Date of Conference: 15-16 February 2018
Date Added to IEEE Xplore: 11 October 2018
ISBN Information:
Conference Location: Erode, India
References is not available for this document.

I. Introduction

Many Rapid vehicular growth in urban areas of our country has put immense focus on transforming the traditional transportation system to Intelligent Transportation System. ITS is an advanced application aims to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks. Although ITS refer to all modes of transport, the directive of the European Union 2010/40/EU defined ITS as systems in which information and communication technologies are applied in the field of road transport [17]. In simple, ITS aims to minimize and find solutions to traffic related issues. It also provide solutions to achieve traffic efficiency, to reduce the delays in traffic, enable vehicles to communicate, smart parking, dynamic traffic signal management, variable speed limits, road and highways surveillance, mobile surveillance, energy conservation, providing collision avoidance system and enhancing comfort and safety of the users, with the help of sensor, information and communication technologies [1].

Select All
1.
Zhu Yongjun, Zhu Xueli, Zhu Shuxian and Guo shenghui, "Intelligent transportation system based on Internet of Things", World Automation Congress (WAC) IEEE Explore, October 2012.
2.
Ejaz Ahmed, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Imran Khan, Abdelmuttlib Ibrahim, Abdalla Ahmed, et al., "The role of big data analytics in Internet of Things" in Computer Networks, Elsevier Publication, vol. 129, December 2017.
3.
Marcus Handte, Stefan Foell, Stephan Wagner, Gerd Kortuem and Pedro José Marrón, "An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders", IEEE Transaction on Internet of Things Journal, vol. 3, no. 5, October 2016.
4.
Mung Chiang and Tao Zhang, "Fog and IoT: An Overview of Research Opportunities", IEEE Transaction on Internet of Things Journal, vol. 3, no. 6, December 2016.
5.
Partha Pratim Ray, "A survey of IoT cloud platforms", Future Computing and Informatics Journal, vol. 1, no. 1–2, pp. 35-46, December 2016.
6.
Flavio Bonomi, Rodolfo Milito, Preethi Natarajan and Jiang Zhu, Fog Computing: A Platform for Internet of Things and Analytics, Switzerland:Springer International Publishing, 2014.
7.
Yugandhara A. Thakare1, Pranita P. Deshmukh, Rupali A. Meshram, Komal R. Hole, Rutuja A. Gulhane and Nilaja A. Deshmukh, "A Review: The Internet of Things Using Fog Computing", International Research Journal of Engineering and Technology, vol. 04, no. 3, Mar 2017.
8.
Korosh Vatanparvar and Mohammad Abdullah Al Faruque, "Demo Abstract: Energy Management as a Service over Fog Computing Platform" in , Irvine, California, USA:University of California, Irvine, 2015.
9.
Tejas Rawal and V. Devadas, "Intelligent Transportation System in India – A Review", Journal of Development Management and Communication, vol. 2, no. 3, September 2015.
10.
Anitha Chepuru and K. Venugopal Rao, "A Survey On Iot Applications For Intelligent Transport Systems", International Journal Of Current Engineering And Scientific Research, vol. 2, no. 8, 2015.
11.
Flavio Bonomi, Rodolfo Milito, Jiang Zhu and Sateesh Addepalli, "Fog Computing and Its Role in the Internet of Things", MCC’12, August 2012.
12.
Thiyagarajan Manihatty Bojan, Umamaheswaran Raman Kumar and Viswanathan Manihatty Bojan, "An internet of things based intelligent transportation system", IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2014.
13.
Arafat Al-Dweik, Radu Muresan, Matthew Mayhew and Mark Lieberman, "IoT-based multifunctional Scalable real-time Enhanced Road Side Unit for Intelligent Transportation Systems", IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017.
14.
Hongming Cai, Boyi Xu and Lihong Jiang, "IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges", IEEE Transaction on Internet Of Things Journal, vol. 4, no. 1, February 2017.
15.
Charith Perera, Yongrui Qin, Julio C. Estrella, Stephan Reiff-Marganiec and Athanasios V. Vasilakos, "Fog Computing for Sustainable Smart Cities: A Survey", ACM Computing Surevys, 2017.
16.
Digambar Jadhav and Swathi Nikham, "Need for Resource Management in IoT", International Journal of Computer Applications (0975 – 8887), vol. 134, no. 16, January 2016.
17.
[online] Available: https://en.wikipedia.org/wiki/Intelligent_transportation_system.
18.
R. Chinnaiyan and S. Somasundaram, "Reliability Assessment of component based software systems using Test Suite - A Review", Journal of Computer Applications, vol. 1, no. 4, Oct – Dec 2008.
19.
R. Chinnaiyan and S. Somasundaram, "An Experimental Study on Reliability Estimation of GNU Compiler Components – A Review", International Journal of Computer Applications (0975 – 8887), vol. 25, no. 3, July 2011.
20.
R. Chinnaiyan and S. Somasundaram, "Reliability of Component Based Software With Similar Software Components - A Review", i-Managers Journal on Software Engineering; Nagercoil5.2, Oct-Dec 2010.
21.
R Chinnaiyan and S Somasundaram, "Monte Carlo Simulation For Reliability Assessment of Component Based Software Systems", i-Managers Journal on Software Engineering, 2010.
22.
R. Chinnaiyan and S. Somasundaram, "Evaluating the Reliability of Component Based Software Systems", International Journal of Quality and Reliability Management, vol. 27, no. 1, pp. 78-88, 2010.
23.
R. Chinnaiyan and S. Somasundaram, "Reliability of Object Oriented Software Systems using communication variables – a review", International Journal of Software Engineering, vol. 2, no. 2, pp. 87-96, 2009.
24.
M. Swarnamugi and R. Chinnaiyan, "IoT Technologies And Machine Learning Algorithms – A Study", International Journal of Engineering Sciences Research Technology, vol. 5, no. 12, pp. 614-621, 2016.
25.
M. Swarnamugi and R. Chinnaiyan, "Cloud and Fog Computing Models for Internet of Things", International Journal for Research in Applied Science and Engineering Technology MIST-17, pp. 120-123.
26.
M. Swarnamugi and R. Chinnaiyan, "Outsourced Security Guard Service based on IoT", International Journal of Innovative Research in Computer and Communication Engineering, vol. 5, no. 2, pp. 126-131, 2017.
Contact IEEE to Subscribe

References

References is not available for this document.