Data fusion for ITS: A systematic literature review

C Ounoughi, SB Yahia - Information Fusion, 2023 - Elsevier
In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

Review of data fusion methods for real-time and multi-sensor traffic flow analysis

SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …

Development of AI‐Based Vehicle Detection and Tracking System for C‐ITS Application

S Tak, JD Lee, J Song, S Kim - Journal of advanced …, 2021 - Wiley Online Library
There are various means of monitoring traffic situations on roads. Due to the rise of artificial
intelligence (AI) based image processing technology, there is a growing interest in …

Energy efficient data transmission in intelligent transportation system (ITS): Millimeter (mm wave) based routing algorithm for connected vehicles

K Matrouk, Y Trabelsi, V Gomathy, UA Kumar… - Optik, 2023 - Elsevier
In the context of the Intelligent Transportation System (ITS), smart urban communication
provides both significant potential and formidable problems for linked cars. A high rate of …

Sequence to sequence hybrid Bi-LSTM model for traffic speed prediction

C Ounoughi, SB Yahia - Expert Systems with Applications, 2024 - Elsevier
Congestion is a bane of urban life that affects a large share of the population on a daily
basis. Thus, congestion gets tremendous attention from city stakeholders, residents, and …

Real-time urban regional route planning model for connected vehicles based on V2X communication

P Wang, J Zhang, H Deng, M Zhang - Journal of Transport and Land Use, 2020 - JSTOR
Advancement in the novel technology of connected vehicles has presented opportunities
and challenges for smart urban transport and land use. To improve the capacity of urban …

In-cylinder pressure smart sampling for efficient data management

B Pla, J De la Morena, P Bares… - International Journal of …, 2023 - journals.sagepub.com
The present paper proposes an optimized algorithm for minimizing the amount of data
processed in order to maintain all critical information from the in-cylinder pressure sensor …

V2I-Based Intelligent Mobility Data Fusion for Self-Adaptive Traffic Signal Control

H Wei, G Kashyap, D Nian, W Lin - International Conference on …, 2022 - ascelibrary.org
The emerging connected vehicle (CV) technology provides an opportunity to formulate an
ambulant data platform that allows the actual data transfer among multiple vehicles and …

A novel method about the representation and discrimination of traffic state

J Jiang, Q Chen, J Xue, H Wang, Z Chen - Sensors, 2020 - mdpi.com
The representation and discrimination of various traffic states play an essential role in
solving traffic accidents and congestion as the foundation of traffic state prediction. However …

Deep reinforcement learning-based LSTM model for traffic flow forecasting in internet of vehicles

Z Chen, X Luo, T Wang, W Wang, W Zhao - Proceedings of 2021 Chinese …, 2022 - Springer
Nowadays many large cities often suffer from road congestion. Then, it is necessary to
improve the working efficiency of urban road network with the help of computational …