1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mané D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viégas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2015) TensorFlow: large-scale machine learning on heterogeneous systems. Software available from
https://www.tensorflow.org
2. Abdelwahab H, Abdel-Aty MA (2002) Artificial neural networks and logit models for traffic safety analysis of toll plazas. Transp Res Rec: J Transp Res Board 1784:02–2270.
https://doi.org/10.3141/1784-15
3. Beanland V, Fitzharris M, Young KL, Lenné MG (2013) Driver inattention and driver distraction in serious casualty crashes: data from the Australian national crash in-depth study. Accid Anal Prev 54:99–107.
https://doi.org/10.1016/j.aap.2012.12.043
4. Blommer M, Curry R, Kozak K, Greenberg J, Artz B (2006) Implementation of controlled lane departures and analysis of simulator sickness for a drowsy driver study. In: Proceedings of the 2006 driving simulation conference Europe, Paris
5. Bouchner P, Piekník R, Novotný S, Pěkný J, Hajný M, Borzová C (2006) Fatigue of car drivers—detection and classification based on the experiments on car simulators. In: Proceedings of the 6th WSEAS international conference on simulation, modelling and optimization, Lisbon, pp 727–732