Ridesourcing systems: A framework and review
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …
technologies, ridesourcing companies have been able to leverage internet-based platforms …
Matching algorithms: Fundamentals, applications and challenges
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 …
market operation to people's daily lives. In economics, the term matching theory is coined for …
Surge pricing solves the wild goose chase
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 …
market design that recent research has found is more efficient than traditional taxi systems …
Dynamic matching for real-time ride sharing
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 …
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 …
come in many varieties. Market design seeks to understand what marketplaces must …
We are on the way: Analysis of on-demand ride-hailing systems
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 …
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 …
contracts on the opposing side. Prior work addresses online bipartite-matching markets …
Bandit learning in decentralized matching markets
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 …
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
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 …
drivers and passengers through mobile internets. Online matching between idle drivers and …
Optimal dynamic matching
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 …
trade‐off between waiting for a thicker market, allowing for higher‐quality matches, and …