Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining

11 November 2018

Papers citing "Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining"

11 / 11 papers shown

Non-myopic Matching and Rebalancing in Large-Scale On-Demand Ride-Pooling Systems Using Simulation-Informed Reinforcement Learning

Farnoosh Namdarpour

Joseph Y. J. Chow

121

28 Oct 2025

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

151

09 Jun 2025

A Survey of Machine Learning-Based Ride-Hailing Planning

Dacheng Wen

Yupeng Li

F. Lau

184

26 Mar 2023

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival

211

17 Mar 2022

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2021

Zefang Zong

Tao Feng

Tong Xia

Depeng Jin

Yong Li

242

10 Aug 2021

Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System

M. Swarnamugi

Dr.Chinnaiyan R

LRM

143

29 Jul 2021

Interval Deep Learning for Uncertainty Quantification in Safety Applications

David Betancourt

R. Muhanna

UQCV AI4CE

140

13 May 2021

Reinforcement Learning for Ridesharing: An Extended SurveyTransportation Research Part C: Emerging Technologies (TRC), 2021

Zhiwei Qin

Hongtu Zhu

Jieping Ye

927

111

03 May 2021

CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation

Carter Blum

Hao Liu

Hui Xiong

121

28 Jan 2021

Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning

140

18 Jun 2020

Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning

17 Feb 2019