Ridesourcing systems: A framework and review

H Wang, H Yang - Transportation Research Part B: Methodological, 2019 - Elsevier
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

Matching algorithms: Fundamentals, applications and challenges

J Ren, F Xia, X Chen, J Liu, M Hou… - … on Emerging Topics …, 2021 - ieeexplore.ieee.org
Matching plays a vital role in the rational allocation of resources in many areas, ranging from
market operation to people's daily lives. In economics, the term matching theory is coined for …

Surge pricing solves the wild goose chase

JC Castillo, D Knoepfle, G Weyl - … of the 2017 ACM Conference on …, 2017 - dl.acm.org
Ride-hailing applications (apps) like Uber and Lyft introduced a matching technology and
market design that recent research has found is more efficient than traditional taxi systems …

Dynamic matching for real-time ride sharing

E Özkan, AR Ward - Stochastic Systems, 2020 - pubsonline.informs.org
In a ride-sharing system, arriving customers must be matched with available drivers. These
decisions affect the overall number of customers matched, because they impact whether …

Marketplaces, markets, and market design

AE Roth - American Economic Review, 2018 - aeaweb.org
Marketplaces are often small parts of large markets, and both markets and marketplaces
come in many varieties. Market design seeks to understand what marketplaces must …

We are on the way: Analysis of on-demand ride-hailing systems

G Feng, G Kong, Z Wang - Manufacturing & Service …, 2021 - pubsonline.informs.org
Problem definition: Recently, there has been a rapid rise of on-demand ride-hailing
platforms, such as Uber and Didi, which allow passengers with smartphones to submit trip …

Allocation problems in ride-sharing platforms: Online matching with offline reusable resources

JP Dickerson, KA Sankararaman… - ACM Transactions on …, 2021 - dl.acm.org
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 …

Bandit learning in decentralized matching markets

LT Liu, F Ruan, H Mania, MI Jordan - Journal of Machine Learning …, 2021 - jmlr.org
We study two-sided matching markets in which one side of the market (the players) does not
have a priori knowledge about its preferences for the other side (the arms) and is required to …

Learning to delay in ride-sourcing systems: A multi-agent deep reinforcement learning framework

J Ke, F Xiao, H Yang, J Ye - IEEE Transactions on Knowledge …, 2020 - ieeexplore.ieee.org
Ride-sourcing services are now reshaping the way people travel by effectively connecting
drivers and passengers through mobile internets. Online matching between idle drivers and …

Optimal dynamic matching

M Baccara, SM Lee, L Yariv - Theoretical Economics, 2020 - Wiley Online Library
We study a dynamic matching environment where individuals arrive sequentially. There is a
trade‐off between waiting for a thicker market, allowing for higher‐quality matches, and …