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Design and implementation of intelligent traffic and big data mining system based on internet of things

Authors: Weiguang Li, Juan Zhu, Yong Zhang, Shuyan ZhangAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 38, Issue 2

Pages 1967 - 1975

https://doi.org/10.3233/JIFS-190558

Published: 01 January 2020 Publication History

Abstract

Intelligent transportation is a new type of transportation system, and it can improve the transport service system through utilizing lots of modern electronic information technologies, such as Internet of Things, cloud computing, artificial intelligence, automatic control, mobile internet.Through the comprehensive analysis and transmission of information, the system helps people properly arrange their travel routes, thus ensuring that people’s traffic travel rate can be effectively improved. This paper uses the fusion of data mining technology and distributed parallel Hadoop technology to realize the architecture of the intelligent traffic system, and uses the mining algorithm to realize the analysis of running state,and the Internet of things are used to obtain the data from the perceptive layer. The simulation results show that the proposed system has significant performance on prediction.

References

[1]

Korssen T., Dolk V., Mortel-Fronczak J.V.D., Reniers M. and Heemels M., Systematic model-based design and implementation of supervisors for advanced driver assistance systems, IEEE Transactions on Intelligent Transportation Systems 19(2) (2018), 533–544.

Digital Library

[2]

Blanco J., García A. and Morenas J.L., Design and implementation of a wireless sensor and actuator network to support the intelligent control of efficient energy usage, Sensors 18(6) (2018), 1892.

[3]

Weng Y.C. and Hsieh S.L., Design and implementation of a web-based medical drawing management system, Journal of Intelligent Information Systems 49(3) (2017), 1–15.

[4]

Kucukyildiz G., Ocak H., Karakaya S. and Sayli O., Design and implementation of a multi sensor based brain computer interface for a robotic wheelchair, Robotic Systems 87(2) (2017), 1–17.

[5]

Aissa O., Moulahoum S., Colak I., Babes B. and Kabache N., Design and real time implementation of three-phase three switches three levels vienna rectifier based on intelligent controllers, Applied Soft Computing 56 (2017), 158–172.

Digital Library

[6]

Wang J.M., Yang M.T. and Chen P.L., Design and implementation of an intelligent windowsill system using smart handheld device and fuzzy microcontroller, Sensors 17(4) (2017), 830.

[7]

Tsai T.H. and Chang C.H., Hardware/software co-design and vlsi implementation for the intelligent surveillance system, IEEE Sensors Journal 17(18) (2017), 6077–6089.

[8]

Song Y., Wang X., Wright G., Thatcher D., Peng W. and Felix P., Traffic volume prediction with segment-based regression kriging and its implementation in assessing the impact of heavy vehicles, tems 20(1) (2018), 1–12.

[9]

Sakamoto S., Ozera K., Barolli A., Ikeda M., Barolli L. and Takizawa M., Implementation of an intelligent hybrid simulation systems for wmns based on particle swarm optimization and simulated annealing: performance evaluation for different replacement methods, Soft Computing 23(9) (2019), 1–7.

[10]

Aguirre E., Lopez-Iturri P., Azpilicueta L., Redondo A., Astrain J.J., Villadangos J., et al. Design and implementation of context aware applications with wireless sensor network support in urban train transportation environments, IEEE Sensors Journal 17(1) (2017), 1–1.

[11]

Li Z., Fei R.Y., Wang Y., Ning B. and Tao T., Big data analytics in intelligent transportation systems: A survey, IEEE Transactions on Intelligent Transportation Systems 20(1) (2018), 383–398.

[12]

Chen L.W. and Ho Y.F., Centimeter-grade metropolitan positioning for lane-level intelligent transportation systems based on the internet of vehicles, IEEE Transactions on Industrial Informatics 15(3) (2019), 1474–1485.

[13]

Zang D., Ling J., Wei Z., Tang K. and Cheng J., Long-term traffic speed prediction based on multiscale spatio-temporal feature learning network, IEEE Transactions on Intelligent Transportation Systems 20(10) (2019), 3700–3709.

[14]

Zhou X., Hong H., Xing X., Bian K., Xie K. and Xu M., Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data, Neurocomputing 259 (2017), S0925231217302473.

[15]

Al-Mayouf Y.R.B., Mahdi O.A., Taha N.A., Abdullah N.F., Khan S. and Alam M., Accident management system based on vehicular network for an intelligent transportation system in urban environments, Journal of Advanced Transportation 2018 (2018), 1–11.

[16]

Chen G., Cao H., Aafaque M., Chen J. and Ye C., Neuromorphic vision based multivehicle detection and tracking for intelligent transportation system, Journal of advanced transportation 2018(4815383) (2018), 13.

[17]

Lautner D., Hua X., Debates S. and Ren S., Waas (wireless-as-a-sensor): Conception, design and implementation on mobile platforms, Journal of Systems Architecture 88 (2018), 65–73.

Digital Library

[18]

Chen J., Zhou H., Ning Z., Xu W., Quan Y., Lin G., et al. Service-oriented dynamic connection management for software-defined internet of vehicles, IEEE Transactions on Intelligent Transportation Systems 18(10) (2017), 2826–2837.

Digital Library

[19]

Devito Z., Mara M., Zollhöfer M., Bernstein G., Ragan-Kelley J., Theobalt C., et al. Opt: A domain specific language for non-linear least squares optimization in graphics and imaging, Acm Transactions on Graphics 36(5) (2017).

[20]

Tomim M. and Filho J.A.P., Parallel transient stability simulation based on multi-area thévenin equivalents, IEEE Transactions on Smart Grid 8(3) (2017), 1366–1377.

[21]

Martini E., Silveirinha M.G. and Maci S., Exact solution for the protected tem edge mode in a ptd-symmetric parallel-plate waveguide, IEEE Transactions on Antennas and Propagation 67(2) (2019), 1035–1044.

[22]

Cheng Y., Zheng Z., Wang J., Yang L. and Wan S., Attribute reduction based on genetic algorithm for the coevolution of meteorological data in the industrial internet of things, Wireless Communications and Mobile Computing 2019(1) (2019), 1–8.

Digital Library

[23]

Abdulghaffar A.A., Mostafa S.M., Alsaleh A., Sheltami T. and Shakshuki E.M., Internet of things based multiple disease monitoring and health improvement system, Journal of Ambient Intelligence and Humanized Computing (2019), 1–9.

Cited By

Ahmad Jan MAdil MBrik BHarous SAbbas S(2025)Making Sense of Big Data in Intelligent Transportation Systems: Current Trends, Challenges and Future DirectionsACM Computing Surveys10.1145/371637157:8(1-43)Online publication date: 5-Feb-2025
https://dl.acm.org/doi/10.1145/3716371
Elamrani Abou Elassad DElamrani Abou Elassad ZEd-dahbi AEl Meslouhi OKardouchi MAkhloufi M(2024)An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion designJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23244646:2(3659-3676)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.3233/JIFS-232446
Kumar BHariharan KShanmugam RShriram SSridhar J(2022)Enabling internet of things in road traffic forecasting with deep learning modelsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22023043:5(6265-6276)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-220230
Show More Cited By

Index Terms

Design and implementation of intelligent traffic and big data mining system based on internet of things
1. Computing methodologies
2. Information systems
  1. Information systems applications
    1. Data mining

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 38, Issue 2

2020

1210 pages

ISSN:1064-1246

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© 2020 – IOS Press and the authors. All rights reserved.

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IOS Press

Netherlands

Publication History

Published: 01 January 2020

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Cited By

Ahmad Jan MAdil MBrik BHarous SAbbas S(2025)Making Sense of Big Data in Intelligent Transportation Systems: Current Trends, Challenges and Future DirectionsACM Computing Surveys10.1145/371637157:8(1-43)Online publication date: 5-Feb-2025
https://dl.acm.org/doi/10.1145/3716371
Elamrani Abou Elassad DElamrani Abou Elassad ZEd-dahbi AEl Meslouhi OKardouchi MAkhloufi M(2024)An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion designJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23244646:2(3659-3676)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.3233/JIFS-232446
Kumar BHariharan KShanmugam RShriram SSridhar J(2022)Enabling internet of things in road traffic forecasting with deep learning modelsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22023043:5(6265-6276)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-220230
Li HSun X(2022)Design and Implementation of Internet of Things Technology in College Students’ Innovation and Entrepreneurship Integration SystemComputational Intelligence and Neuroscience10.1155/2022/36244132022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3624413
Liu YZhao L(2022)Design and Implementation of Human Motion Monitoring System on Account of Intelligent Computing of Internet of ThingsJournal of Electrical and Computer Engineering10.1155/2022/33164332022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3316433
Chen J(2022)IOT Monitoring System for Ship Operation Management Based on YOLOv3 AlgorithmJournal of Control Science and Engineering10.1155/2022/24085502022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/2408550
Huang Y(2022)BP Neural Network-Based Big Data Intelligent Travel Algorithm and Its ApplicationScientific Programming10.1155/2022/23061772022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/2306177
Du L(2022)Integrated Wiring System of Intelligent Building Based on Internet of ThingsWireless Communications & Mobile Computing10.1155/2022/10862102022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1086210

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