Deep learning for spatio-temporal data mining: A survey
With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
Deep learning on traffic prediction: Methods, analysis, and future directions
X Yin, G Wu, J Wei, Y Shen, H Qi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic
prediction can assist route planing, guide vehicle dispatching, and mitigate traffic …
prediction can assist route planing, guide vehicle dispatching, and mitigate traffic …
A review of bus arrival time prediction using artificial intelligence
N Singh, K Kumar - Wiley Interdisciplinary Reviews: Data …, 2022 - Wiley Online Library
Buses are one of the important parts of public transport system. To provide accurate
information about bus arrival and departure times at bus stops is one of the main parameters …
information about bus arrival and departure times at bus stops is one of the main parameters …
Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method
Unreliable transit services can negatively impact transit ridership and discourage
passengers from regularly choosing public transport. As the most important content of bus …
passengers from regularly choosing public transport. As the most important content of bus …
Travel time prediction system based on data clustering for waste collection vehicles
In recent years, intelligent transportation system (ITS) techniques have been widely
exploited to enhance the quality of public services. As one of the worldwide leaders in …
exploited to enhance the quality of public services. As one of the worldwide leaders in …
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data
An important factor that discourages patrons from using bus systems is the long and
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …
Bus arrival time prediction based on LSTM and spatial-temporal feature vector
H Liu, H Xu, Y Yan, Z Cai, T Sun, W Li - IEEE Access, 2020 - ieeexplore.ieee.org
Bus arrival prediction has important implications for public travel, urban dispatch, and
mitigation of traffic congestion. The factors affecting urban traffic conditions are complex and …
mitigation of traffic congestion. The factors affecting urban traffic conditions are complex and …
Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation
Mobility services require accurate demand prediction in both space and time to effectively
manage fleet rebalancing, provide quick on-demand responses, and enable advanced ride …
manage fleet rebalancing, provide quick on-demand responses, and enable advanced ride …
DeepTRANS: a deep learning system for public bus travel time estimation using traffic forecasting
In the public transportation domain, accurate estimation of travel times helps to manage rider
expectations as well as to provide a powerful tool for transportation agencies to coordinate …
expectations as well as to provide a powerful tool for transportation agencies to coordinate …
深度学习在时空序列预测中的应用综述.
刘博， 王明烁， 李永， 陈洪丽… - Journal of Beijing …, 2021 - search.ebscohost.com
摘摇要: 对深度学习模型应用于时空序列预测的最新进展进行总结. 首先介绍时空序列数据的
属性及类型, 并进行相应的实例化与表示. 接着针对时空序列数据存在的3 …
属性及类型, 并进行相应的实例化与表示. 接着针对时空序列数据存在的3 …