In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement
learning approaches to decision optimization problems in a typical ridesharing system …

The current revolutions of automation, electrification, and sharing are resha** the way we
travel, with broad implications for future mobility management. While much uncertainty …

With the recent rapid growth of technology-enabled mobility services, ride-sourcing
platforms, such as Uber and DiDi, have launched commercial on-demand ride-pooling …

Recently, some third-party integrators attempt to integrate the ride services offered by
multiple independent ride-sourcing platforms. Accordingly, passengers can request ride …

Ridesourcing platforms, such as Uber, Lyft and Didi, are now launching commercial on-
demand ride-pooling programs that enable their affiliated drivers to serve two or more …

On-demand ride services reshape urban transportation systems, human mobility, and
travelers' mode choice behavior. Compared to the traditional street-hailing taxi, an on …

Ride-sourcing services are increasingly popular because of their ability to accommodate on-
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …

Ever since the emergence of ride-sourcing services, the spatial–temporal pricing problem
has been a hot research topic in both the transportation and management fields. The …

With the rapid growth of the mobility-on-demand (MoD) market in recent years, ride-hailing
companies have become an important element of the urban mobility system. There are two …