Analytical review of map matching algorithms: analyzing the performance and efficiency using road dataset of the indian subcontinent
Precise position information of moving entities on digital road networks is a vital requirement
of location-based applications. Location information received from Global Positioning …
of location-based applications. Location information received from Global Positioning …
Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
Transformer-based map-matching model with limited labeled data using transfer-learning approach
In many spatial trajectory-based applications, it is necessary to map raw trajectory data
points onto road networks in digital maps, which is commonly referred to as a map-matching …
points onto road networks in digital maps, which is commonly referred to as a map-matching …
Fl-amm: Federated learning augmented map matching with heterogeneous cellular moving trajectories
Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …
L2mm: learning to map matching with deep models for low-quality gps trajectory data
Map matching is a fundamental research topic with the objective of aligning GPS trajectories
to paths on the road network. However, existing models fail to achieve satisfactory …
to paths on the road network. However, existing models fail to achieve satisfactory …
DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons
Global Positioning System (GPS) has benefited many novel applications, eg, navigation,
ride-sharing, and location-based services, in our daily life. Although GPS works well in most …
ride-sharing, and location-based services, in our daily life. Although GPS works well in most …
From driving trajectories to driving paths: a survey on map-matching algorithms
With the widespread deployment of built-in Global Positioning System (GPS) devices,
numerous volumes of driving trajectories can be recorded conveniently. Affected by GPS …
numerous volumes of driving trajectories can be recorded conveniently. Affected by GPS …
Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling
R Safarzadeh, X Wang - International Journal of Geographical …, 2024 - Taylor & Francis
Analyzing freight vehicle movements using GPS trajectory data presents challenges due to
environmental conditions and hardware limitations impacting data accuracy. Map matching …
environmental conditions and hardware limitations impacting data accuracy. Map matching …
HMM-Based Map Matching and Spatiotemporal Analysis for Matching Errors with Taxi Trajectories
L Qu, Y Zhou, J Li, Q Yu, X Jiang - ISPRS International Journal of Geo …, 2023 - mdpi.com
Map matching of trajectory data has wide applications in path planning, traffic flow analysis,
and intelligent driving. The process of map matching involves matching GPS trajectory …
and intelligent driving. The process of map matching involves matching GPS trajectory …
RAdam-DA-NLSTM: A Nested LSTM-Based Time Series Prediction Method for Human–Computer Intelligent Systems
B Liu, W Chen, Z Wang, S Pouriyeh, M Han - Electronics, 2023 - mdpi.com
At present, time series prediction methods are widely applied for Human–Computer
Intelligent Systems in various fields such as Finance, Meteorology, and Medicine. To …
Intelligent Systems in various fields such as Finance, Meteorology, and Medicine. To …