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RETRACTED: Intelligent transportation system for sustainable environment in smart cities

The International Journal of Electrical Engineering & Education, 2021
Advanced technology has ushered in the urge to enhance the travel experience. Besides the consistent desire to travel faster and more comfortably, the need to ensure transportation sustainability has remained constant.
Liang Zhao, Yuanhua Jia
semanticscholar   +1 more source

Machine learning‐based traffic scheduling techniques for intelligent transportation system: Opportunities and challenges

International Journal of Communication Systems, 2021
The rise in traffic congestion has become a significant concern in the urban city environment. The conventional traffic control systems with inefficient human resources management fail to control the traffic discipline, leading to increased traffic ...
M. Nama   +6 more
semanticscholar   +1 more source

Deep Reinforcement Learning for EV Charging Navigation by Coordinating Smart Grid and Intelligent Transportation System

IEEE Transactions on Smart Grid, 2020
A coordinated operation of smart grid (SG) and intelligent transportation system (ITS) provides electric vehicle (EV) owners with a myriad of power and transportation network data for EV charging navigation. However, the optimal charging navigation would
Tao Qian   +3 more
semanticscholar   +1 more source

Intelligent Transportation System

2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI)
The notion of smart transportation is an extension of the basic idea of intelligent transportation. It accumulates traffic data using high-tech means and then performs extensive statistical analysis and model creation to realize the system's methodical ...
Meenakshi Maindola   +6 more
semanticscholar   +1 more source

Semantic-Oriented Feature Coupling Transformer for Vehicle Re-Identification in Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print)
More robust intelligent transportation systems including autonomous driving systems are in full flourish with the revolution of deep learning and the 6G wireless communication network. Vehicle Re-Identification, an indispensable branch of the intelligent
Zhi Yu   +4 more
semanticscholar   +1 more source

Traffic Target Location Estimation Based on Tensor Decomposition in Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print)
As the safety problems and economic losses caused by traffic accidents are becoming more and more serious, intelligent transportation system (ITS) came into being.
Yuehao Guo   +3 more
semanticscholar   +1 more source

Review of Digital twin for intelligent transportation system

2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT), 2021
Digital Twin (DT) is attracting the research interest of the traffic community in the last few years due to improvement of intelligent traffic management through the simulation of the transportation system predicting potential problems and optimizing ...
L. Bao, Qiulan Wang, Yan Jiang
semanticscholar   +1 more source

A systematic literature review of vehicle speed assistance in intelligent transportation system

IET Intelligent Transport Systems, 2021
Due to the emergence of new technologies over the past decade, vehicle speed assistance systems in intelligent transportation systems have frequently been discussed.
M. Asadi   +3 more
semanticscholar   +1 more source

Traffic Prediction for Intelligent Transportation System using Machine Learning

International Conference Emerging Technologies Computer Engineering: Microservices Big Data Analytics, 2020
This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether it’s traffic signals, accidents, rallies, even repairing of ...
Gaurav Meena   +2 more
semanticscholar   +1 more source

New method of traffic flow forecasting based on quantum particle swarm optimization strategy for intelligent transportation system

International Journal of Communication Systems, 2020
Traffic flow forecasting is one of the essential means to realize smart cities and smart transportation. The accurate and effective prediction will provide an important basis for decision‐making in smart transportation systems.
De-gan Zhang   +5 more
semanticscholar   +1 more source

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