An integrated decomposition and approximate dynamic programming approach for on-demand ride pooling
Through smartphone apps, drivers and passengers can dynamically enter and leave ride-
hailing platforms. As a result, ride-pooling is challenging due to complex system dynamics …
hailing platforms. As a result, ride-pooling is challenging due to complex system dynamics …
A distributed model-free ride-sharing approach for joint matching, pricing, and dispatching using deep reinforcement learning
M Haliem, G Mani, V Aggarwal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Significant development of ride-sharing services presents a plethora of opportunities to
transform urban mobility by providing personalized and convenient transportation while …
transform urban mobility by providing personalized and convenient transportation while …
Neural approximate dynamic programming for on-demand ride-pooling
On-demand ride-pooling (eg, UberPool, LyftLine, GrabShare) has recently become popular
because of its ability to lower costs for passengers while simultaneously increasing revenue …
because of its ability to lower costs for passengers while simultaneously increasing revenue …
Optimization of ride-sharing with passenger transfer via deep reinforcement learning
D Wang, Q Wang, Y Yin, TCE Cheng - Transportation Research Part E …, 2023 - Elsevier
With the emergence of the sharing economy and the rapid growth of mobile communications
technologies, many novel sharing service models have been developed stemming from ride …
technologies, many novel sharing service models have been developed stemming from ride …
Data driven analysis of the potentials of dynamic ride pooling
This paper focuses on the challenge of dynamically pooling multiple ride requests in real
time in order to achieve greater overall efficiency for ride sharing/hailing services. A rigorous …
time in order to achieve greater overall efficiency for ride sharing/hailing services. A rigorous …
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
J Alonso-Mora, S Samaranayake… - Proceedings of the …, 2017 - National Acad Sciences
Ride-sharing services are transforming urban mobility by providing timely and convenient
transportation to anybody, anywhere, and anytime. These services present enormous …
transportation to anybody, anywhere, and anytime. These services present enormous …
Dynamic ridesharing in peak travel periods
In this paper, we propose and study a variant of the dynamic ridesharing problem with a
specific focus on peak hours: Given a set of drivers and a set of rider requests, we aim to …
specific focus on peak hours: Given a set of drivers and a set of rider requests, we aim to …
[HTML][HTML] A scalable vehicle assignment and routing strategy for real-time on-demand ridesharing considering endogenous congestion
On-demand ridesharing has been recognised as an effective way to meet travel needs while
significantly reducing the number of required vehicles. As the growth of on-demand mobility …
significantly reducing the number of required vehicles. As the growth of on-demand mobility …
On the needs for MaaS platforms to handle competition in ridesharing mobility
Ridesharing has been emerging as a new type of mobility. However, the early promises of
ridesharing for alleviating congestion in cities may be undermined by a number of …
ridesharing for alleviating congestion in cities may be undermined by a number of …
Speed-up heuristic for an on-demand ride-pooling algorithm
With ongoing developments in digitalization and advances in the field of autonomous
driving, on-demand ride pooling is a mobility service with the potential to disrupt the urban …
driving, on-demand ride pooling is a mobility service with the potential to disrupt the urban …