The cities of Paris, London, Chicago, and New York (among many others) have set up bike-
share systems to facilitate the use of bicycles for urban commuting. This paper estimates the …

Abstract Machine learning components commonly appear in larger decision-making
pipelines; however, the model training process typically focuses only on a loss that …

As an innovative mobility strategy, public bike-sharing has grown dramatically worldwide.
Though providing convenient, low-cost and environmental-friendly transportation, the …

Bike sharing provides an environment-friendly way for traveling and is booming all over the
world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem …

Bike Sharing Systems (BSSs) are widely adopted in major cities of the world due to
concerns associated with extensive private vehicle usage, namely, increased carbon …

Bike-sharing services are flourishing in Smart Cities worldwide. They provide a low-cost and
environment-friendly transportation alternative and help reduce traffic congestion. However …

Bipartite-matching markets pair agents on one side of a market with agents, items, or
contracts on the opposing side. Prior work addresses online bipartite-matching markets …

With the advancement of communication technology and location acquisition technology in
the context of modern smart cities, the sharing bike systems offer users the great autonomy …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Problem definition: In this paper, we study the fleet repositioning problem for a free-float
vehicle sharing system, aiming to dynamically match the vehicle supply and travel demand …