Mobility in cities is a fundamental asset and opens several problems decision making the creation of new services for citizens. In last years, transportation sharing systems have been continuously growing. Among these, bike became commonly adopted. There exist two different categories systems: station-based free-floating services. this paper, we concentrate our analyses on systems. Such require...

Cities are moving towards new mobility strategies to tackle smart cities’ challenges such as carbon emission reduction, urban transport multimodality and mitigation of pandemic hazards, emphasising on the implementation shared modes, bike-sharing systems. This paper poses a research question introduces corresponding systematic literature review, focusing machine learning techniques’ contributio...

Unlike the traditional dock-based systems, dockless bike-sharing systems are more convenient for users in terms of flexibility. However, flexibility these comes at cost management and operation complexity. Indeed, imbalanced dynamic use bikes leads to mandatory rebalancing operations, which impose a critical need effective bike traffic flow prediction. While efforts have been made developing pr...

Bike sharing is a vital piece in a modern multi-modal transportation system. However, it suffers from the bike unbalancing problem due to fluctuating spatial and temporal demands. Accurate bike sharing demand predictions can help operators to make optimal routes and schedules for bike redistributions, and therefore enhance the system efficiency. In this study, we propose a novel Graph Convoluti...

Extensive usage of private vehicles has led to increased traffic congestion, carbon emissions, and usage of nonrenewable resources. These concerns have led to the wide adoption of vehicle sharing (ex: bike sharing, car sharing) systems in many cities of the world. In vehiclesharing systems, base stations (ex: docking stations for bikes) are strategically placed throughout a city and each of the...

In the paper, bike sharing systems with stations having a finite capacity are studied as large stochastic networks. The inhomogeneity is modeled by clusters. We use a mean field limit to derive the limiting stationary distribution of the number of bikes at the stations. This approach is an alternative to analytical methods. It can be used even if a closed form expression for the stationary dist...

This paper deals with a new problem that is a generalization of the many to many pickup and delivery problem and which is motivated by operating self-service bike sharing systems. There is only one commodity, initially distributed among the vertices of a graph, and a capacitated single vehicle aims to redistribute the commodity in order to reach a target distribution. Each vertex can be visited...