Fine-Grained Trajectory-based Travel Time Estimation for Multi-city
Scenarios Based on Deep Meta-Learning

Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning

20 January 2022

Fang Zhao

Papers citing "Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning"

7 / 7 papers shown

Title
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning Zhihan Zheng Haitao Yuan Minxiao Chen Shangguang Wang AI4TS 80 1 0 28 Jan 2025
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility Chenxing Wang AI4TS 11 2 0 23 Jul 2024
Link Representation Learning for Probabilistic Travel Time Estimation Chen Xu Qiang Wang Lijun Sun AI4TS 34 0 0 08 Jul 2024
Origin-Destination Travel Time Oracle for Map-based Services Yan Lin Huaiyu Wan Jilin Hu Shengnan Guo B. Yang Youfang Lin Christian S. Jensen 17 22 0 06 Jul 2023
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation Siqi Lai Weijia Zhang Hao Liu 31 5 0 26 Jun 2023
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation Tao-Yang Fu Wang-Chien Lee AI4TS 46 50 0 05 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017