Simulation of Autoregressive Integrated Moving Average- Generalized Autoregressive Conditional Heteroscedasticity (ARIMA-GARCH) to Forecast Traffic Flow
A. Sumalee and H. W. Ho, “Smarter and more connected: Future intelligent transportation system,” IATSS Research, vol. 42, no. 2. Elsevier B.V., pp. 67–71, Jul. 2018, doi: 10.1016/j.iatssr.2018.05.005.
A. Atta, S. Abbas, M. A. Khan, G. Ahmed, and U. Farooq, “An adaptive approach: Smart traffic congestion control system,” J. King Saud Univ. - Comput. Inf. Sci., vol. 32, no. 9, pp. 1012–1019, Nov. 2020, doi: 10.1016/j.jksuci.2018.10.011.
W. C. Tchuitcheu, C. Bobda, and M. J. H. Pantho, “Internet of smart-cameras for traffic lights optimization in smart cities,” arXiv, vol. 11. arXiv, p. 100207, Feb. 2020, doi: 10.1016/j.iot.2020.100207.
N. Chan Soe and T. Lai Lai Thein, “Haversine Formula and RPA Algorithm for Navigation System,” Int. J. Data Sci. Anal., vol. 6, no. 1, p. 32, Feb. 2020, doi: 10.11648/j.ijdsa.20200601.14.
M. Sarrab, S. Pulparambil, and M. Awadalla, “Development of an IoT based real-time traffic monitoring system for city governance,” Glob. Transitions, vol. 2, pp. 230–245, Jan. 2020, doi: 10.1016/j.glt.2020.09.004.
S. Felici-Castell, M. García-Pineda, J. Segura-Garcia, R. Fayos-Jordan, and J. Lopez-Ballester, “Adaptive live video streaming on low-cost wireless multihop networks for road traffic surveillance in smart cities,” Futur. Gener. Comput. Syst., vol. 115, pp. 741–755, Feb. 2021, doi: 10.1016/j.future.2020.10.010.
H. Shin, J. Jung, and Y. Koo, “Forecasting the Video Data Traffic of 5G Services in South Korea,” Technol. Forecast. Soc. Change, vol. 153, p. 119948, Apr. 2020, doi: 10.1016/j.techfore.2020.119948.
Y. Lian, G. Zhang, J. Lee, and H. Huang, “Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles,” Accid. Anal. Prev., vol. 146, p. 105711, Oct. 2020, doi: 10.1016/j.aap.2020.105711.
M. Rith, K. I. D. Z. Roquel, N. S. A. Lopez, A. M. Fillone, and J. B. M. M. Biona, “Towards more sustainable transport in Metro Manila: A case study of household vehicle ownership and energy consumption,” Transp. Res. Interdiscip. Perspect., vol. 6, p. 100163, Jul. 2020, doi: 10.1016/j.trip.2020.100163.
Y. Boquet, “Managing Metro Manila,” in Springer Geography, Springer, 2017, pp. 567–615.
S. Kaffash, A. T. Nguyen, and J. Zhu, “Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis,” Int. J. Prod. Econ., vol. 231, p. 107868, Jan. 2021, doi: 10.1016/j.ijpe.2020.107868.
I. Lana, J. Del Ser, M. Velez, and E. I. Vlahogianni, “Road Traffic Forecasting: Recent Advances and New Challenges,” IEEE Intelligent Transportation Systems Magazine, vol. 10, no. 2. Institute of Electrical and Electronics Engineers, pp. 93–109, Jun. 2018, doi: 10.1109/MITS.2018.2806634.
M. A. Ansari and T. Arundhathi, “Street Traffic Forecasting Ongoing Advances and New Challenges,” Int. J. Comput. Sci. Eng., vol. 7, no. 3, pp. 650–656, Mar. 2019, doi: 10.26438/ijcse/v7i3.650656.
M. Lippi, M. Bertini, and P. Frasconi, “Short-term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning,” IEEE Trans. Intell. Transp. Syst., vol. 14, no. 2, pp. 871–882, 2013, doi: 10.1109/TITS.2013.2247040.
X. Fu, W. Luo, C. Xu, X. Zhao, and F. J. Hwang, “Short-Term Traffic Speed Prediction Method for Urban Road Sections Based on Wavelet Transform and Gated Recurrent Unit,” Math. Probl. Eng., vol. 2020, 2020, doi: 10.1155/2020/3697625.
S. R. Yaziz, N. A. Azizan, R. Zakaria, and M. H. Ahmad, “The Performance of Hybrid ARIMA-GARCH Modeling in Forecasting Gold Price,” 20th Int. Congr. Model. Simulation, Adelaide, Aust., no. December, pp. 1–6, 2013.
L. Seymour, P. J. Brockwell, and R. A. Davis, Introduction to Time Series and Forecasting., vol. 92, no. 440. 1997.
R. Adhikari and R. K. Agrawal, “An Introductory Study on Time Series Modeling and Forecasting,” L. Lambert Acad. Publ. Ger., p. 67, Feb. 2013.
H. Zhang, X. Wang, J. Cao, M. Tang, and Y. Guo, “A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics,” Appl. Intell., vol. 48, no. 8, pp. 2429–2440, Aug. 2018, doi: 10.1007/s10489-017-1095-9.
B. K. C. Chan, “Data analysis using R programming,” in Simultaneous Mass Transfer and Chemical Reactions in Engineering Science, Elsevier, 2020, pp. 39–60.
M. Guidolin and M. Pedio, “Single-Factor Conditionally Heteroskedastic Models, ARCH and GARCH,” in Essentials of Time Series for Financial Applications, Elsevier, 2018, pp. 151–228.
S. Yousefzadeh-Chabok, F. Ranjbar-taklimie, R. Malekpouri, and A. Razzaghi, “A Time Series Model for Assessing the Trend and Forecasting the Road Traffic Accident Mortality,” PubMed Cent., no. 14, pp. 0–5, 2016, doi: 10.5812/atr.36570.Research.
A. Coghlan, A Little Book of R For Time Series Release 0.2. Cambridge, UK, 2018.
L. Pham, “Time Series Analysis with ARIMA – ARCH / GARCH model in R,” 2013.
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development