Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-07-15
DOI
10.1007/s10489-022-03827-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On‐line modelling and planning for urban traffic control
- (2021) Alberto Pozanco et al. EXPERT SYSTEMS
- Deep Reinforcement Learning with Reference System to Handle Constraints for Energy-Efficient Train Control
- (2021) Mengying Shang et al. INFORMATION SCIENCES
- Traffic Control Prediction Design Based on Fuzzy Logic and Lyapunov Approaches to Improve the Performance of Road Intersection
- (2021) Sadiqa Jafari et al. Processes
- Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems
- (2020) Raul-Cristian Roman et al. EUROPEAN JOURNAL OF CONTROL
- A Deep Reinforcement Learning Network for Traffic Light Cycle Control
- (2019) Xiaoyuan Liang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A hybrid temporal association rules mining method for traffic congestion prediction
- (2019) Feng Wen et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Dynamic pricing techniques for Intelligent Transportation System in smart cities: A systematic review
- (2019) Sandeep Saharan et al. COMPUTER COMMUNICATIONS
- Intelligent traffic control for autonomous vehicle systems based on machine learning
- (2019) Sangmin Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
- (2018) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- Force-Driven Traffic Simulation for a Future Connected Autonomous Vehicle-Enabled Smart Transportation System
- (2018) Yuming Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Distributed Intersection Management Protocol for Safety, Efficiency, and Driver’s Comfort
- (2018) Xiaoyuan Liang et al. IEEE Internet of Things Journal
- Multi-objective location-routing model for hazardous material logistics with traffic restriction constraint in inter-city roads
- (2018) Hao Hu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Daily long-term traffic flow forecasting based on a deep neural network
- (2018) Licheng Qu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Detection of traffic congestion and incidents from GPS trace analysis
- (2017) Eleonora D'Andrea et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion
- (2017) Zhiguang Cao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Traffic light control using deep policy-gradient and value-function-based reinforcement learning
- (2017) Seyed Sajad Mousavi et al. IET Intelligent Transport Systems
- Deep learning for short-term traffic flow prediction
- (2017) Nicholas G. Polson et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An efficient dynamic traffic light scheduling algorithm considering emergency vehicles for intelligent transportation systems
- (2017) Maram Bani Younes et al. WIRELESS NETWORKS
- Characterizing the role of vehicular cloud computing in road traffic management
- (2017) Iftikhar Ahmad et al. International Journal of Distributed Sensor Networks
- Highway Traffic State Estimation With Mixed Connected and Conventional Vehicles
- (2016) Nikolaos Bekiaris-Liberis et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
- (2011) Ahmed Al-Hmouz et al. IEEE Transactions on Learning Technologies
- A Novel Fuzzy Model and Control of Single Intersection at Urban Traffic Network
- (2010) Ehsan Azimirad et al. IEEE Systems Journal
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now