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 …
HLGST: Hybrid local–global spatio-temporal model for travel time estimation using Siamese graph convolutional with triplet networks
Travel time estimation (TTE) is a crucial and challenging task due to the complex spatial and
dynamic temporal correlations between local and global traffic regions. Though many …
dynamic temporal correlations between local and global traffic regions. Though many …
An Explainable Stacked Ensemble Model for Static Route‐Free Estimation of Time of Arrival
S Schleibaum, JP Müller… - Journal of Advanced …, 2024 - Wiley Online Library
Sustainable concepts for on‐demand transportation, such as ridesharing or ridehailing,
require advanced technologies and novel dynamic planning and prediction methods. In this …
require advanced technologies and novel dynamic planning and prediction methods. In this …
Triplet-contrastive Periodical Siamese Graph Networks for Travel Time Estimation
Accurate travel time estimation (TTE) is a critical component of intelligent transportation
systems (ITSs). However, due to the high variation and complexity of road networks, the …
systems (ITSs). However, due to the high variation and complexity of road networks, the …
Multi-Modal Transit Time Prediction for E-Commerce Fulfillment Optimization and Carbon Emissions Reduction
K Angevine - 2023 - dspace.mit.edu
Consumers are purchasing an increasing amount of goods through digital channels as
compared to brick and mortar and expect fast, reliable delivery. At the same time, society is …
compared to brick and mortar and expect fast, reliable delivery. At the same time, society is …