A robust MPC approach for the rebalancing of mobility on demand systems

Benchimol, 2011, Balancing the stations of a self service “bike hire” system, RAIRO-Operations Research, 45, 37, 10.1051/ro/2011102 Borgnat, 2011, Shared bicycles in a city: A signal processing and data analysis perspective, Advances in Complex Systems, 14, 415, 10.1142/S0219525911002950 Calafiore, G., Bongiorno, C., & Rizzo, A. (2018). A control-oriented model for mobility on demand systems. In Proceedings of the 57th IEEE Conference on decision and control (pp. 999–1004). Calafiore, 2017, A network model for an urban bike sharing system, IFAC-PapersOnLine, 50, 15633, 10.1016/j.ifacol.2017.08.1902 Calafiore, G. C., Portigliotti, F., Rizzo, A., & Novara, C. (2017). A flow optimization approach for the rebalancing of mobility on demand systems. In IEEE conference on decision and control (pp. 1–6). Camacho, 2013 Car2Go, 2018 Chemla, 2013, Bike sharing systems: Solving the static rebalancing problem, Discrete Optimization, 10, 120, 10.1016/j.disopt.2012.11.005 Chemla, 2013 Contardo, 2012 Dell, 2016, A destroy and repair algorithm for the bike sharing rebalancing problem, Computers & Operations Research, 71, 149, 10.1016/j.cor.2016.01.011 Dell’Amico, 2014, The bike sharing rebalancing problem: Mathematical formulations and benchmark instances, Omega, 45, 7, 10.1016/j.omega.2013.12.001 Erdoğan, 2015, An exact algorithm for the static rebalancing problem arising in bicycle sharing systems, European Journal of Operational Research, 245, 667, 10.1016/j.ejor.2015.03.043 Faghih-Imani, 2017, An empirical analysis of bike sharing usage and rebalancing: Evidence from barcelona and seville, Transportation Research Part A: Policy and Practice, 97, 177 Fricker, 2016, Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity, Euro journal on transportation and logistics, 5, 261, 10.1007/s13676-014-0053-5 Froehlich, J., Neumann, J., & Oliver, N. (2008). Measuring the pulse of the city through shared bicycle programs. In Proceedings of UrbanSense08 (pp. 16–20). Gupta, S., Agrawal, A., Gopalakrishnan, K., & Narayanan, P. (2015). Deep learning with limited numerical precision. In International conference on machine learning (pp. 1737–1746). Kaysi, 1993 Lloyd, 1982, Least squares quantization in PCM, IEEE Transactions on Information Theory, 28, 129, 10.1109/TIT.1982.1056489 Meddin, 2018 Nair, 2013, Large-scale vehicle sharing systems: analysis of Vélib’, International Journal of Sustainable Transportation, 7, 85, 10.1080/15568318.2012.660115 Nourinejad, 2015, Vehicle relocation and staff rebalancing in one-way carsharing systems, Transportation Research Part E: Logistics and Transportation Review, 81, 98, 10.1016/j.tre.2015.06.012 O’Mahony, 2015, Data analysis and optimization for (citi) bike sharing, 687 Pfrommer, 2014, Dynamic vehicle redistribution and online price incentives in shared mobility systems, IEEE Transactions on Intelligent Transportation Systems, 15, 1567, 10.1109/TITS.2014.2303986 Rainer-Harbach, 2013, Balancing bicycle sharing systems: A variable neighborhood search approach, 121 Raviv, 2013, Static repositioning in a bike-sharing system: models and solution approaches, EURO Journal on Transportation and Logistics, 2, 187, 10.1007/s13676-012-0017-6 Schuijbroek, 2017, Inventory rebalancing and vehicle routing in bike sharing systems, European Journal of Operational Research, 257, 992, 10.1016/j.ejor.2016.08.029 Singla, 2015, Incentivizing users for balancing bike sharing systems, 723 Snyder, 1997 Weikl, 2013, Relocation strategies and algorithms for free-floating car sharing systems, IEEE Intelligent Transportation Systems Magazine, 5, 100, 10.1109/MITS.2013.2267810 Yang, 2016, Mobility modeling and prediction in bike-sharing systems, 165 Zeng, 2008, Short term traffic flow prediction based on online learning SVR, 616 Zhao, 2007, Short-term traffic flow prediction based on ratio-median lengths of intervals two-factors high-order fuzzy time series, 1