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ARTICLES

Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

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Pages 1688-1711 | Received 18 Jul 2018, Accepted 25 Jun 2019, Published online: 08 Jul 2019

Reference

  • Abdulhai, B., H. Porwal, and W. Recker. 2002. “Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms.” ITS Journal-Intelligent Transportation Systems Journal 7 (1): 3–41. doi: 10.1080/10248070212011
  • Bhagwat, P. P., and R. Maity. 2012. “Multistep-Ahead River Flow Prediction Using LS-SVR at Daily Scale.” Journal of Water Resource and Protection 4 (7): 528. doi: 10.4236/jwarp.2012.47062
  • Castro-Neto, M., Y. S. Jeong, M. K. Jeong, and L. D. Han. 2009. “Online-SVR for Short-Term Traffic Flow Prediction under Typical and Atypical Traffic Conditions.” Expert Systems with Applications 36 (3): 6164–6173. doi: 10.1016/j.eswa.2008.07.069
  • Derrac, J., S. García, D. Molina, and F. Herrera. 2011. “A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms.” Swarm and Evolutionary Computation 1 (1): 3–18. doi: 10.1016/j.swevo.2011.02.002
  • Du, S., T. Li, X. Gong, Z. Yu, and S. J. Horng. 2018. “A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.” arXiv preprint arXiv:1803.02099.
  • Ermagun, A., and D. Levinson. 2018. “Spatiotemporal Traffic Forecasting: Review and Proposed Directions.” Transport Reviews 38 (6): 1–29. doi: 10.1080/01441647.2018.1442887
  • Ghosh, B., B. Basu, and M. O'Mahony. 2009. “Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis.” IEEE Transactions on Intelligent Transportation Systems 10 (2): 246–254. doi: 10.1109/TITS.2009.2021448
  • Guo, J., W. Huang, and B. M. Williams. 2014. “Adaptive Kalman Filter Approach for Stochastic Short-Term Traffic Flow Rate Prediction and Uncertainty Quantification.” Transportation Research Part C: Emerging Technologies 43: 50–64. doi: 10.1016/j.trc.2014.02.006
  • Habtemichael, F. G., and M. Cetin. 2016. “Short-Term Traffic Flow Rate Forecasting Based on Identifying Similar Traffic Patterns.” Transportation Research Part C: Emerging Technologies 66: 61–78. doi: 10.1016/j.trc.2015.08.017
  • Hong, W. C. 2011. “Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm.” Neurocomputing 74 (12–13): 2096–2107. doi: 10.1016/j.neucom.2010.12.032
  • Huang, W., G. Song, H. Hong, and K. Xie. 2014. “Deep Architecture for Traffic Flow Prediction: Deep Belief Networks with Multitask Learning.” IEEE Transactions on Intelligent Transportation Systems 15 (5): 2191–2201. doi: 10.1109/TITS.2014.2311123
  • Karlaftis, M. G., and E. I. Vlahogianni. 2011. “Statistical Methods Versus Neural Networks in Transportation Research: Differences, Similarities and Some Insights.” Transportation Research Part C: Emerging Technologies 19 (3): 387–399. doi: 10.1016/j.trc.2010.10.004
  • Kingma, D. P., and J. Ba. 2014. “Adam: A Method for Stochastic Optimization.” arXiv preprint arXiv:1412.6980.
  • Koesdwiady, A., R. Soua, and F. Karray. 2016. “Improving Traffic Flow Prediction with Weather Information in Connected Cars: A Deep Learning Approach.” IEEE Transactions on Vehicular Technology 65 (12): 9508–9517. doi: 10.1109/TVT.2016.2585575
  • Kohavi, R., and G. H. John. 1997. “Wrappers for Feature Subset Selection.” Artificial Intelligence 97 (1–2): 273–324. doi: 10.1016/S0004-3702(97)00043-X
  • Kohavi, R., and D. H. Wolpert. 1996. “Bias Plus Variance Decomposition for Zero-One Loss Functions.” International Conference on Machine Learning 96: 275–283.
  • Krizhevsky, A., I. Sutskever, and G. E. Hinton. 2017. “Imagenet Classification with Deep Convolutional Neural Networks.” Communications of the ACM 60 (6): 84‐90. doi: 10.1145/3065386
  • Kumar, S. V., and L. Vanajakshi. 2015. “Short-Term Traffic Flow Prediction Using Seasonal ARIMA Model with Limited Input Data.” European Transport Research Review 7 (3): 21. doi: 10.1007/s12544-015-0170-8
  • Li, L., X. Su, Y. Zhang, Y. Lin, and Z. Li. 2015. “Trend Modelling for Traffic Time Series Analysis: An Integrated Study.” IEEE Transactions on Intelligent Transportation Systems 16 (6): 3430–3439. doi: 10.1109/TITS.2015.2457240
  • Lv, Y., Y. Duan, W. Kang, Z. Li, and F. Y. Wang. 2015. “Traffic Flow Prediction with big Data: A Deep Learning Approach.” IEEE Trans. Intelligent Transportation Systems 16 (2): 865–873.
  • Ma, X., Z. Dai, Z. He, J. Ma, Y. Wang, and Y. Wang. 2017. “Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.” Sensors 17 (4): 818. doi: 10.3390/s17040818
  • Ma, X., Z. Tao, Y. Wang, H. Yu, and Y. Wang. 2015. “Long Short-Term Memory Neural Network for Traffic Speed Prediction Using Remote Microwave Sensor Data.” Transportation Research Part C: Emerging Technologies 54: 187–197. doi: 10.1016/j.trc.2015.03.014
  • Min, W., and L. Wynter. 2011. “Real-Time Road Traffic Prediction with Spatio-Temporal Correlations.” Transportation Research Part C: Emerging Technologies 19 (4): 606–616. doi: 10.1016/j.trc.2010.10.002
  • Okutani, I., and Y. J. Stephanedes. 1984. “Dynamic Prediction of Traffic Volume Through Kalman Filtering Theory.” Transportation Research Part B: Methodological 18 (1): 1–11. doi: 10.1016/0191-2615(84)90002-X
  • Park, J., D. Li, Y. L. Murphey, J. Kristinsson, R. McGee, M. Kuang, and T. Phillips. 2011, July. “Real Time Vehicle Speed Prediction Using a Neural Network Traffic Model.” The 2011 International joint conference on neural networks, San Jose, CA, 2011, pp. 2991–2996.
  • Park, B., C. Messer, and T. Urbanik II. 1998. “Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network.” Transportation Research Record: Journal of the Transportation Research Board 1651: 39–47. doi: 10.3141/1651-06
  • Polson, N. G., and V. O. Sokolov. 2017. “Deep Learning for Short-Term Traffic Flow Prediction.” Transportation Research Part C: Emerging Technologies 79: 1–17. doi: 10.1016/j.trc.2017.02.024
  • Stathopoulos, A., and M. G. Karlaftis. 2003. “A Multivariate State Space Approach for Urban Traffic Flow Modeling and Prediction.” Transportation Research Part C: Emerging Technologies 11 (2): 121–135. doi: 10.1016/S0968-090X(03)00004-4
  • Sun, S., C. Zhang, and G. Yu. 2006. “A Bayesian Network Approach to Traffic Flow Forecasting.” IEEE Transactions on Intelligent Transportation Systems 7 (1): 124–132. doi: 10.1109/TITS.2006.869623
  • Tang, J., S. Alelyani, and H. Liu. 2014. “Feature selection for classification: A review.” In Data Classification: Algorithms and Applications (pp. 37–64). CRC Press. doi:10.1201/b17320
  • Tang, J., F. Liu, Y. Zou, W. Zhang, and Y. Wang. 2017. “An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic.” IEEE Transactions on Intelligent Transportation Systems 18 (9): 2340–2350. doi: 10.1109/TITS.2016.2643005
  • Williams, B. 2001. “Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling.” Transportation Research Record: Journal of the Transportation Research Board 1776: 194–200. doi: 10.3141/1776-25
  • Williams, B. M., and L. A. Hoel. 2003. “Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results.” Journal of Transportation Engineering 129 (6): 664–672. doi: 10.1061/(ASCE)0733-947X(2003)129:6(664)
  • Wu, Y. J., F. Chen, C. T. Lu, and S. Yang. 2016. “Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model.” Journal of Intelligent Transportation Systems 20 (3): 282–293. doi: 10.1080/15472450.2015.1072050
  • Wu, Y., and H. Tan. 2016. “Short-Term Traffic Flow Forecasting with Spatial-Temporal Correlation in a Hybrid Deep Learning Framework.” arXiv preprint arXiv:1612.01022.
  • Yang, Z., and Z. Zhu. 1999. “A Real-Time Traffic Volume Prediction Model Based on the Kalman Filtering Theory.” China Journal of Highway and Transport 12 (3): 63–67.
  • Yu, B., X. Song, F. Guan, Z. Yang, and B. Yao. 2016. “k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition.” Journal of Transportation Engineering 142 (6): 04016018. doi: 10.1061/(ASCE)TE.1943-5436.0000816
  • Zhang, L., Q. Liu, W. Yang, N. Wei, and D. Dong. 2013. “An Improved k-Nearest Neighbor Model for Short-Term Traffic Flow Prediction.” Procedia-Social and Behavioral Sciences 96: 653–662. doi: 10.1016/j.sbspro.2013.08.076
  • Zhang, W., Y. Qi, K. Henrickson, J. Tang, and Y. Wang. 2017. “Vehicle Traffic Delay Prediction in Ferry Terminal Based on Bayesian Multiple Models Combination Method.” Transportmetrica A: Transport Science 13 (5): 467–490. doi: 10.1080/23249935.2017.1294631
  • Zhang, W., Y. Qi, Z. Zhou, S. A. Biancardo, and Y. Wang. 2018. “Method of Speed Data Fusion Based on Bayesian Combination Algorithm and High-Order Multi-Variable Markov Model.” IET Intelligent Transport Systems 12 (10): 1312–1321. doi: 10.1049/iet-its.2018.5020
  • Zhang, Y., Y. Zhang, and A. Haghani. 2014. “A Hybrid Short-Term Traffic Flow Forecasting Method Based on Spectral Analysis and Statistical Volatility Model.” Transportation Research Part C: Emerging Technologies 43: 65–78. doi: 10.1016/j.trc.2013.11.011
  • Zhang, W., Y. Zou, J. Tang, J. Ash, and Y. Wang. 2016. “Short-Term Prediction of Vehicle Waiting Queue at Ferry Terminal Based on Machine Learning Method.” Journal of Marine Science and Technology 21 (4): 729–741. doi: 10.1007/s00773-016-0385-y

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