Shaun Sweeney, Rodrigo Ordonez-Hurtado, et al.
IEEE T-ITS
We study the effect of customer choices in bicycle-sharing systems based on bicycle availability predictions. We show that such systems may lead to flapping behavior between bicycle stations. The consequences of flapping instability include poor user experience and suboptimal usage of the available bicycle stock. We propose a simple assignment strategy aimed at eliminating flapping and balancing demand at each station based on actual availability.
Shaun Sweeney, Rodrigo Ordonez-Hurtado, et al.
IEEE T-ITS
Sam Sinnott, Ordõnez-Hurtado Rodrigo, et al.
ITSC 2016
Sonja Stüdli, Emanuele Crisostomi, et al.
International Journal of Control
André R. Fioravanti, Jakub Marecek, et al.
CDC 2017