A systematic literature review on machine learning in shared mobility
J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …
traditional public transport, promising to reduce the number of private vehicles on roads …
Resilience model and recovery strategy of transportation network based on travel OD-grid analysis
Transportation is the key to a city's prosperity, however, there is possibility that the
development and expansion of city make the transportation system complicated, uncertain …
development and expansion of city make the transportation system complicated, uncertain …
Synthesizing realistic trajectory data with differential privacy
Vehicle trajectory data is critical for traffic management and location-based services.
However, the released trajectories raise serious privacy concerns because they contain …
However, the released trajectories raise serious privacy concerns because they contain …
The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting
Transportation demand forecasting is a topic of large practical value. However, the model
that fits the demand of one transportation by only considering the historical data of its own …
that fits the demand of one transportation by only considering the historical data of its own …
Exploiting spatiotemporal correlations of arrive-stay-leave behaviors for private car flow prediction
Accurate prediction of private car flows in urban regions is strategically vital for constructing
smart cities. Private car flows are essentially reflected in the arrive-stay-leave (ASL) …
smart cities. Private car flows are essentially reflected in the arrive-stay-leave (ASL) …
Gallat: A spatiotemporal graph attention network for passenger demand prediction
Online ride-hailing services have become an important component of urban transportation in
recent years. As a fundamental research problem for such services, the timely prediction of …
recent years. As a fundamental research problem for such services, the timely prediction of …
Passenger mobility prediction via representation learning for dynamic directed and weighted graphs
In recent years, ride-hailing services have been increasingly prevalent, as they provide huge
convenience for passengers. As a fundamental problem, the timely prediction of passenger …
convenience for passengers. As a fundamental problem, the timely prediction of passenger …
A framework for spatial-temporal trajectory cluster analysis based on dynamic relationships
I Portugal, P Alencar, D Cowan - IEEE Access, 2020 - ieeexplore.ieee.org
In spatial-temporal data analysis, location data and its evolution through time are
investigated with the goal of uncovering important information to provide novel insights …
investigated with the goal of uncovering important information to provide novel insights …
BM-DDPG: An integrated dispatching framework for ride-hailing systems
This paper proposes an integrated dispatching framework for matching drivers with riders in
ride-hailing systems. The goal is to compute matching solutions that maximize social welfare …
ride-hailing systems. The goal is to compute matching solutions that maximize social welfare …
A joint passenger flow inference and path recommender system for deploying new routes and stations of mass transit transportation
In this work, a novel decision assistant system for urban transportation, called Route
Scheme Assistant (RSA), is proposed to address two crucial issues that few former …
Scheme Assistant (RSA), is proposed to address two crucial issues that few former …