A systematic review on intelligent transport systems

T Garg, G Kaur - Journal of Computational and Cognitive …, 2023 - ojs.bonviewpress.com
Transportation is very important issue in everyone's life as the things need to be carried from
one place to another. It plays vital role to transport various health equipment's, groceries and …

Spatiotemporal traffic flow prediction with KNN and LSTM

X Luo, D Li, Y Yang, S Zhang - Journal of Advanced …, 2019 - Wiley Online Library
The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

Traffic flow prediction based on deep learning in internet of vehicles

C Chen, Z Liu, S Wan, J Luan… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), accurate traffic flow prediction is helpful for analyzing road
condition and then timely feedback traffic information to managers as well as travelers …

Applications of deep learning in traffic management: A review

P Patil - International Journal of Business Intelligence and …, 2022 - research.tensorgate.org
This research explores the increasing applications of deep learning in traffic management
systems, with a focus on traffic prediction, object detection and recognition, autonomous …

An Improved CEEMDAN‐FE‐TCN Model for Highway Traffic Flow Prediction

H Gao, H Jia, L Yang - Journal of Advanced Transportation, 2022 - Wiley Online Library
With the advent of the data‐driven era, deep learning approaches have been gradually
introduced to short‐term traffic flow prediction, which plays a vital role in the Intelligent …

A Survey of Generative AI for Intelligent Transportation Systems

H Yan, Y Li - arXiv preprint arXiv:2312.08248, 2023 - arxiv.org
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

Economic impact of road transportation infrastructure projects: the case of Egnatia Odos Motorway

A Magoutas, D Manolopoulos, GT Tsoulfas… - European Planning …, 2023 - Taylor & Francis
Non-cyclical and high-leverage infrastructure projects, such as road transportation networks,
have been considered as critical policy instruments to promote growth and social …

Expressway exit station short-term traffic flow prediction with split traffic flows according originating entry stations

H Ruan, B Wu, B Li, Z Chen, W Yun - IEEE Access, 2021 - ieeexplore.ieee.org
As an essential component of Intelligent Transportation Systems (ITS), short-term traffic flow
prediction is a key step to anticipate traffic congestion. Due to the availability of massive …

DTM-GCN: A traffic flow prediction model based on dynamic graph convolutional network

X Wang, Y Shang, G Li - Multimedia Tools and Applications, 2024 - Springer
A traffic network possesses all the basic characteristics of networks, as well as its own
distinct features, which have research significance. In this study, we address the issues of …