A survey on planning semi-flexible transit systems: Methodological issues and a unifying framework, Transportation Research Part C: Emerging Technologies, vol.36, pp.324-338, 2013. ,
DOI : 10.1016/j.trc.2013.08.010
Recent advances in robust optimization: An overview, European Journal of Operational Research, vol.235, issue.3, pp.471-483, 2014. ,
DOI : 10.1016/j.ejor.2013.09.036
URL : https://hal.archives-ouvertes.fr/hal-01495346
A Multi-agent based model for urban demand-responsive transport system intelligent control, 2008 IEEE Intelligent Vehicles Symposium, pp.1033-10384621183, 2008. ,
DOI : 10.1109/IVS.2008.4621183
An Intelligent Model for Urban Demand-Responsive Transport System Control, 2008 International Symposium on Intelligent Information Technology Application Workshops, pp.151-154, 2008. ,
DOI : 10.1109/IITA.Workshops.2008.62
Benchmarking minimum passenger waiting time in online taxi dispatching with exact offline optimization methods, Archives of Transport, vol.30, issue.2, pp.67-75, 2014. ,
DOI : 10.5604/08669546.1146978
Large-scale Microscopic Simulation of Taxi Services, Procedia Computer Science, vol.52, pp.358-364, 2015. ,
DOI : 10.1016/j.procs.2015.05.107
URL : https://doi.org/10.1016/j.procs.2015.05.107
High-speed, elevated, mass transit gets real. Press release, A NASA Space Act Company, 2014. ,
A cell-based logit-opportunity taxi customer-search model, Transportation Research Part C: Emerging Technologies, vol.48, pp.84-96, 2014. ,
DOI : 10.1016/j.trc.2014.08.010