A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS

May 2021
Vol-7, Issue-3
Paper ID: 14207
ISSN: 2395-4396
Downloads: 92
Download PDF

Abstract & Details

Research Area
computer engineering
Keywords
Deep learning Traffic flow prediction Intelligent Transportation System (ITS) SARIMA (seasonal autoregressive integrated moving average) SDGM (seasonal discrete grey model structure ANN (artificial neural network) SVR (support vector regression) MAPE (mean absolute percentage err
Abstract
Traffic data is significant in planning an intelligent or smart city. Presently – a day's numerous clever vehicle frameworks utilize current advancements to foresee traffic stream, to limit mishaps on street, to anticipate speed of a vehicle and so forth the traffic stream expectation is an engaging examination field. We are utilizing deep learning calculations to conjecture genuine traffic data. At the point when traffic data turns out to be big data, a few strategies to improve the exactness of traffic forecast are additionally talked about with the assistance of big data examination.

Author Information

# Name Institute / Affiliation
1 ANKUSH YADAV POORNIMA COLLEGE OF ENGINEERING
2 ABHISHEK AGRAWAL POORNIMA COLLEGE OF ENGINEERING
3 GAURAV PIPADA POORNIMA COLLEGE OF ENGINEERING
4 Harsh Upadhyay POORNIMA COLLEGE OF ENGINEERING
5 ABHISHEK PATIDAR POORNIMA COLLEGE OF ENGINEERING

How to Cite

Use the following formats to cite this article in your research.

APA Style
YADAV, ANKUSH, AGRAWAL, ABHISHEK, PIPADA, GAURAV, Upadhyay, Harsh, & PATIDAR, ABHISHEK (2021). A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 419-423.
MLA Style
YADAV, ANKUSH, et al. "A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 419-423.
IEEE Style
ANKUSH YADAV, ABHISHEK AGRAWAL, GAURAV PIPADA, Harsh Upadhyay, and ABHISHEK PATIDAR, "A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 419-423, 2021.
Vancouver Style
YADAV ANKUSH, AGRAWAL ABHISHEK, PIPADA GAURAV, Upadhyay Harsh, PATIDAR ABHISHEK. A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):419-423.
Harvard Style
YADAV, ANKUSH, AGRAWAL, ABHISHEK, PIPADA, GAURAV, Upadhyay, Harsh, & PATIDAR, ABHISHEK (2021) 'A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 419-423.
Chicago Style
YADAV, ANKUSH, et al. "A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 419-423.
Turabian Style
YADAV, ANKUSH, et al. "A REVIEW OF TRAFFIC PREDICTION USING TIME SERIES ANALYSIS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 419-423.

Export Citation

Related Research

PReFace : AI -Assisted Plausible Facial Restoration and Damage Reconstruction System
Syeda Arbeena Kausar et al. 2026 Computer Science and Engineering (Computer Vision, Deep Learning and Image Processing)
Download PDF
Automated web vulnerability scanner
Jitendra Sahu et al. 2026 Computer science
Download PDF
BLOOD BANK DEMAND PREDICTION SYSTEM: MACHINE LEARNINGBASED BLOOD DEMAND FORECASTING
Uday Dharmapal Wankhede et al. 2026 Computer Science & Engineering
Download PDF