G. E. Box and G. Jenkins, Time Series Analysis, Forecasting and Control, 1990.

P. J. Brockwell and R. A. , Davis: Introduction to Time Series and Forecasting, 2002.

P. E. Pfeifer and S. J. , A Three-Stage Iterative Procedure for Space-Time Modeling, Technometrics, vol.22, issue.1, pp.35-47, 1980.
DOI : 10.2307/1268381

R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960.
DOI : 10.1115/1.3662552

URL : http://fluidsengineering.asmedigitalcollection.asme.org/data/journals/jfega4/27220/35_1.pdf

I. Okutani and Y. J. , Dynamic prediction of traffic volume through Kalman filtering theory, Transportation Research Part B: Methodological, vol.18, issue.1, pp.1-11, 1984.
DOI : 10.1016/0191-2615(84)90002-X

W. Shen, Y. Kamarianakis, L. Wynter, J. He, Q. He et al., Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report, 2010 IEEE International Conference on Data Mining Workshops, pp.1369-1371, 2010.
DOI : 10.1109/ICDMW.2010.52

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

E. I. Vlahogianni, M. G. Karlaftis, and J. C. , Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach, Transportation Research Part C: Emerging Technologies, vol.13, issue.3, pp.211-234, 2005.
DOI : 10.1016/j.trc.2005.04.007

S. Innamaa, Short-Term Prediction of Travel Time using Neural Networks on an Interurban Highway, Transportation, vol.11, issue.4, pp.649-669, 2005.
DOI : 10.1007/s11116-005-0219-y

V. N. , Vapnik: The nature of statistical learning theory, 1995.

C. Wu, J. Ho, and D. T. , Travel-Time Prediction With Support Vector Regression, IEEE Transactions on Intelligent Transportation Systems, vol.5, issue.4, pp.276-281, 2004.
DOI : 10.1109/TITS.2004.837813

M. Ehrgott, Multicriteria optimization, 2005.
DOI : 10.1007/978-3-662-22199-0

C. A. Coello, G. B. Lamont, and D. A. Van-veldhuizen, Evolutionary algorithms for solving multi-objective problems, 2007.
DOI : 10.1007/978-1-4757-5184-0

A. P. Wierzbicki, On the completeness and constructiveness of parametric characterizations to vector optimization problems, Operations-Research-Spektrum, pp.73-87, 1986.

E. Zitzler, M. Laumanns, and S. Bleuler, A Tutorial on Evolutionary Multiobjective Optimization, Metaheuristics for multiobjective optimisation, pp.3-37, 2004.
DOI : 10.1007/978-3-642-17144-4_1

P. Hajela and C. Lin, Genetic search strategies in multicriterion optimal design, Structural optimization, pp.99-107, 1992.

E. Zitzler, M. Laumanns, and L. Thiele, SPEA2: Improving the strength Pareto evolutionary algorithm, 2001.

Y. Kamarianakis and P. Prastacos, Space???time modeling of traffic flow, Computers & Geosciences, vol.31, issue.2, pp.119-133, 2005.
DOI : 10.1016/j.cageo.2004.05.012

P. K. Atrey, M. A. Hossain, A. Saddik, and M. S. Kankanhalli, Multimodal fusion for multimedia analysis: a survey, Multimedia systems, pp.345-379, 2010.

I. Kalamaras, A. Drosou, and D. , Multi-Objective Optimization for Multimodal Visualization, IEEE Transactions on Multimedia, vol.16, issue.5, pp.1460-1472, 2014.
DOI : 10.1109/TMM.2014.2316473

T. Diamantopoulos, D. Kehagias, F. G. König, and D. Tzovaras, Investigating the effect of global metrics in travel time forecasting, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013.
DOI : 10.1109/ITSC.2013.6728266

H. Sakoe and S. Chiba, Dynamic programming algorithm optimization for spoken word recognition, in Readings in speech recognition, pp.159-165, 1990.

M. A. Cox and T. F. Cox, Multidimensional scaling, in Handbook of data visualization, pp.315-347, 2008.

, TomTom open maps API, https://developer.tomtom.com/online-traffic, last accessed, p.20, 2018.