Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …
Recent advances in reinforcement learning for traffic signal control: A survey of models and evaluation
Traffic signal control is an important and challenging real-world problem that has recently
received a large amount of interest from both transportation and computer science …
received a large amount of interest from both transportation and computer science …
Multi-agent deep reinforcement learning for urban traffic light control in vehicular networks
As urban traffic condition is diverse and complicated, applying reinforcement learning to
reduce traffic congestion becomes one of the hot and promising topics. Especially, how to …
reduce traffic congestion becomes one of the hot and promising topics. Especially, how to …
Artificial intelligence for vehicle-to-everything: A survey
W Tong, A Hussain, WX Bo, S Maharjan - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …
computational systems has opened up new opportunities for intelligent traffic safety, comfort …
Fuzzy inference enabled deep reinforcement learning-based traffic light control for intelligent transportation system
N Kumar, SS Rahman, N Dhakad - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …
widely adopted for the smart city as it overcomes the limitations of the traditional …
Applications of deep learning in intelligent transportation systems
AK Haghighat, V Ravichandra-Mouli… - Journal of Big Data …, 2020 - Springer
Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …
faster development by implementing deep learning techniques in problem domains which …
[HTML][HTML] Deep reinforcement learning for traffic signal control with consistent state and reward design approach
Abstract Intelligent Transportation Systems are essential due to the increased number of
traffic congestion problems and challenges nowadays. Traffic Signal Control (TSC) plays a …
traffic congestion problems and challenges nowadays. Traffic Signal Control (TSC) plays a …
Deep reinforcement learning for traffic signal control: A review
Traffic congestion is a complex, vexing, and growing issue day by day in most urban areas
worldwide. The integration of the newly emerging deep learning approach and the …
worldwide. The integration of the newly emerging deep learning approach and the …
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Traffic signal control (TSC) is an established yet challenging engineering solution that
alleviates traffic congestion by coordinating vehicles' movements at road intersections …
alleviates traffic congestion by coordinating vehicles' movements at road intersections …
Machine learning for security in vehicular networks: A comprehensive survey
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …
effective solutions for a wide range of application domains. An important application domain …