A Markov decision process approach to vacant taxi routing with e-hailing
The optimal routing of a vacant taxi is formulated as a Markov Decision Process (MDP)
problem to account for long-term profit over the full working period. The state is defined by …
problem to account for long-term profit over the full working period. The state is defined by …
G^ 3SR: global graph guided Session-based recommendation
Session-based recommendation tries to make use of anonymous session data to deliver
high-quality recommendations under the condition that user profiles and the complete …
high-quality recommendations under the condition that user profiles and the complete …
The rich and the poor: A Markov decision process approach to optimizing taxi driver revenue efficiency
Taxi services play an important role in the public transportation system of large cities.
Improving taxi business efficiency is an important societal problem since it could improve the …
Improving taxi business efficiency is an important societal problem since it could improve the …
Towards the significance of taxi recommender systems in smart cities
R Katarya - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
Since their launch in the early 1990's, recommender systems (RSs) have played an
essential role in information filtering and providing personalized information to users by …
essential role in information filtering and providing personalized information to users by …
An effective taxi recommender system based on a spatio-temporal factor analysis model
The taxi fleet management systems based on GPS have become an important tool for taxi
businesses. Such systems can be used not only for fleet management, but also to provide …
businesses. Such systems can be used not only for fleet management, but also to provide …
Optimizing taxi driver profit efficiency: A spatial network-based markov decision process approach
X Zhou, H Rong, C Yang, Q Zhang… - … Transactions on Big …, 2018 - ieeexplore.ieee.org
Taxi services play an important role in the public transportation system of large cities.
Improving taxi business efficiency is an important societal problem. Most of the recent …
Improving taxi business efficiency is an important societal problem. Most of the recent …
Translation-based sequential recommendation for complex users on sparse data
H Li, Y Liu, N Mamoulis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Sequential recommendation is one of the main tasks in recommender systems, where the
next action (eg, purchase, visit, and click) of the user is predicted based on his/her past …
next action (eg, purchase, visit, and click) of the user is predicted based on his/her past …
AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning
Taxi cruising route planning has attracted considerable attention, and relevant studies can
be broadly categorized into three main streams: recommending one or multiple areas …
be broadly categorized into three main streams: recommending one or multiple areas …
Using reinforcement learning to minimize taxi idle times
K O'Keeffe, S Anklesaria, P Santi… - Journal of Intelligent …, 2022 - Taylor & Francis
Taxis spend a large amount of time idle, searching for passengers. The routes vacant taxis
should follow in order to minimize their idle times are hard to calculate; they depend on …
should follow in order to minimize their idle times are hard to calculate; they depend on …
Mining factors affecting taxi drivers' incomes using GPS trajectories
Taxis provide essential transport services in urban areas. In the taxi industry, the income
level remains a cause of concern for taxi drivers as well as regulators. Mining underlying …
level remains a cause of concern for taxi drivers as well as regulators. Mining underlying …