@article{(Open Science Index):https://publications.waset.org/pdf/10010667,
	  title     = {Low-Level Modeling for Optimal Train Routing and Scheduling in Busy Railway Stations},
	  author    = {Quoc Khanh Dang and  Thomas Bourdeaud’huy and  Khaled Mesghouni and  Armand Toguy´eni},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper studies a train routing and scheduling
problem for busy railway stations. Our objective is to allow trains
to be routed in dense areas that are reaching saturation. Unlike
traditional methods that allocate all resources to setup a route for
a train and until the route is freed, our work focuses on the use
of resources as trains progress through the railway node. This
technique allows a larger number of trains to be routed simultaneously
in a railway node and thus reduces their current saturation. To
deal with this problem, this study proposes an abstract model and
a mixed-integer linear programming formulation to solve it. The
applicability of our method is illustrated on a didactic example.},
	    journal   = {International Journal of Transport and Vehicle Engineering},
	  volume    = {13},
	  number    = {8},
	  year      = {2019},
	  pages     = {467 - 477},
	  ee        = {https://publications.waset.org/pdf/10010667},
	  url   	= {https://publications.waset.org/vol/152},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 152, 2019},