The implementation of a cloud city traffic state assessment system using a novel big data architecture
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0846-z
Abstract: In order to store and analyze the increasing data in recent years, big data techniques are applied to many fields such as healthcare, manufacturing, telecommunications, retail, energy, transportation, automotive, security, environment, etc. This work implements… read more here.
Keywords: traffic; big data; system; city ... See more keywords
Traffic state prediction using ISOMAP manifold learning
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.04.031
Abstract: Abstract Traffic state prediction is an essential problem with considerable implications in the intelligent transportation system. This paper puts forward an approach for predicting urban road traffic states based on ISOMAP manifold learning. By establishing… read more here.
Keywords: traffic; state prediction; traffic state; isomap manifold ... See more keywords
Traffic State Data Imputation: An Efficient Generating Method Based on the Graph Aggregator
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3119638
Abstract: Road traffic state estimation is an essential component of intelligent transportation systems (ITSs). However, road traffic state data collected by traffic detectors are often incomplete, which can cause problems across a variety of transportation applications,… read more here.
Keywords: road; traffic state; state; traffic ... See more keywords
Generic Approaches to Estimating Freeway Traffic State and Percentage of Connected Vehicles With Fixed and Mobile Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3121181
Abstract: Three filtering-based approaches to freeway traffic state estimation are studied using measurements from connected vehicles and also a minimum number of fixed detectors. These approaches are: Method 1 based on EKF and the second-order traffic… read more here.
Keywords: traffic state; connected vehicles; traffic; freeway traffic ... See more keywords
Physics-Informed Neural Networks (PINNs)-Based Traffic State Estimation: An Application to Traffic Network
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15120447
Abstract: Traffic state estimation (TSE) is a critical component of the efficient intelligent transportation systems (ITS) operations. In the literature, TSE methods are divided into model-driven methods and data-driven methods. Each approach has its limitations. The… read more here.
Keywords: traffic state; network; physics; traffic network ... See more keywords