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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

AI Based Energy Efficient Routing Protocol for Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2022
The future advancement of technology in Internet of Things (IoT) paradigm, Wireless Sensor Networks (WSNs) provide sensing services to connect all the devices.
Pratik Goswami   +6 more
semanticscholar   +1 more source

Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2022
Speech emotion recognition (SER) is becoming the main human–computer interaction logic for autonomous vehicles in the next generation of intelligent transportation systems (ITSs).
Liang Tan   +6 more
semanticscholar   +1 more source

Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2021
It is expected that a mixture of autonomous and manual vehicles will persist as a part of the intelligent transportation system (ITS) for many decades.
K. Yu   +4 more
semanticscholar   +1 more source

Designing Secure User Authentication Protocol for Big Data Collection in IoT-Based Intelligent Transportation System

IEEE Internet of Things Journal, 2021
Secure access of the real-time data from the Internet-of-Things (IoT) smart devices (e.g., vehicles) by a legitimate external party (user) is an important security service for big data collection in the IoT-based intelligent transportation system (ITS ...
Jangirala Srinivas   +3 more
semanticscholar   +1 more source

Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2021
Intelligent Transportation System (ITS) has been emerged an important component and widely adopted for the smart city as it overcomes the limitations of the traditional transportation system. Existing fixed traffic light control systems split the traffic
Neetesh Kumar   +2 more
semanticscholar   +1 more source

PrivacySignal: Privacy-Preserving Traffic Signal Control for Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2022
A new trend of using deep reinforcement learning for traffic signal control has become a spotlight in the Intelligent Transportation System (ITS). However, the traditional intelligent traffic signal control system always collects and transmits vehicle ...
Zuobin Ying   +5 more
semanticscholar   +1 more source

On the Design of Mutual Authentication and Key Agreement Protocol in Internet of Vehicles-Enabled Intelligent Transportation System

IEEE Transactions on Vehicular Technology, 2021
Internet of Vehicles (IoV), a distributed network involving connected vehicles and Vehicular Ad Hoc Networks (VANETs), allows connected vehicles to communicate with other Internet-connected entities in real time.
Palak Bagga   +5 more
semanticscholar   +1 more source

A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control

IEEE transactions on intelligent transportation systems (Print), 2021
The rapid and convenient travel of people and the timely transportation of goods depend on the correct decision of the Intelligent Transportation Systems (ITS).
Xiong Li   +5 more
semanticscholar   +1 more source

Solving the Security Problem of Intelligent Transportation System With Deep Learning

IEEE transactions on intelligent transportation systems (Print), 2021
Objective: the objective of this study is to study deep learning to solve the safety problems of intelligent transportation system. Method: the intelligent transportation system is improved by using the deep learning algorithm, and the improved system is
Zhihan Lv, Shaobiao Zhang, Wenqun Xiu
semanticscholar   +1 more source

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