Results 271 to 280 of about 1,353,338 (294)
Some of the next articles are maybe not open access.

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems

IEEE transactions on intelligent transportation systems (Print), 2023
In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee on Transportation 5.0 with the mission of promoting and transforming the deployment of advanced and innovative technologies, especially Artificial Intelligence in ...
Fei Wang   +11 more
semanticscholar   +1 more source

Edge Intelligence in Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems (Print), 2023
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which is believed to help empower intelligent transportation systems (ITS).
Taiyuan Gong, Li Zhu, Fei Yu, Tao Tang
semanticscholar   +1 more source

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2021
An intelligent transportation system (ITS) plays an important role in public transport management, security and other issues. Traffic flow detection is an important part of the ITS.
Chen Chen   +4 more
semanticscholar   +1 more source

Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems

IEEE transactions on intelligent transportation systems (Print), 2022
The purpose is to solve the security problems of the Cooperative Intelligent Transportation System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment.
Zhihan Lv   +3 more
semanticscholar   +1 more source

A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles

IEEE transactions on intelligent transportation systems (Print), 2021
Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS) are based upon the capture and processing of large amounts of sensor data.
Peter Arthurs   +5 more
semanticscholar   +1 more source

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

IEEE transactions on intelligent transportation systems (Print), 2022
With the integration of the Internet of Things (IoT) in the field of transportation, the Internet of Vehicles (IoV) turned to be a vital method for designing Smart Transportation Systems (STS).
Mohamed Abdel-Basset   +5 more
semanticscholar   +1 more source

Big Data Analytics in Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems (Print), 2019
Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen in many projects around the world. Intelligent transportation systems will produce a large amount of data.
Li Zhu   +4 more
semanticscholar   +1 more source

Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond

IEEE transactions on intelligent transportation systems (Print), 2022
The growing availability of maritime IoT traffic data and continuous expansion of the maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) studies in the maritime domain. Among the most recent advancements,
Xiaocai Zhang   +4 more
semanticscholar   +1 more source

Transportation Internet: A Sustainable Solution for Intelligent Transportation Systems

IEEE transactions on intelligent transportation systems (Print), 2023
New challenges such as automation, connection, electrification, and sharing (ACES) have brought disruptive changes to vehicles, transportation, and mobility services, which urgently requires an ideal solution for sustainable transportation.
Hui Li   +4 more
semanticscholar   +1 more source

Disparity-Based Multiscale Fusion Network for Transportation Detection

IEEE transactions on intelligent transportation systems (Print), 2022
The transportation detection of long-distance small objects has low accuracy. In this work, we propose DMF, which is based on disparity depths. We map different disparity regions to 2D candidate regions according to the distance to solve the small-object
Jing Chen   +5 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy