Arriving on Time, Journal of Optimization Theory and Applications, vol.139, issue.3, pp.497-513, 2005. ,
DOI : 10.1007/978-94-015-8092-2
Learning the dynamics of arterial traffic from probe data using a dynamic bayesian network. Intelligent Transportation Systems, IEEE Transactions on, vol.13, issue.4, pp.1679-1693, 2012. ,
Adaptive least-expected time paths in stochastic, time-varying transportation and data networks, Networks, vol.1408, issue.1, pp.35-52, 2000. ,
DOI : 10.1002/1097-0037(200101)37:1<35::AID-NET4>3.0.CO;2-G
URL : http://www.its.uci.edu/~yangi/papers/Miller-Hooks.2001.Networks.pdf
Optimal route planning under uncertainty, ICAPS, pp.131-141, 2006. ,
Intel R Xeon Phi TM Coprocessor Architecture and Tools: The Guide for Application Developers, 2013. ,
DOI : 10.1007/978-1-4302-5927-5
A Simple and Effective Method for Predicting Travel Times on Freeways, IEEE Transactions on Intelligent Transportation Systems, vol.5, issue.3, pp.200-207, 2004. ,
DOI : 10.1109/TITS.2004.833765
The antarex approach to autotuning and adaptivity for energy efficient hpc systems, ACM International Conference on Computing Frontiers 2016, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01341826
Probabilistic Time-Dependent Travel Time Computation Using Monte Carlo Simulation, HPCSE 2015, pp.1-10, 2016. ,
DOI : 10.1007/978-3-319-24369-6_12
Multi-cost optimal route planning under time-varying uncertainty, Proceedings of the 30th International Conference on Data Engineering (ICDE), 2014. ,
DOI : 10.1109/icde.2014.6816646