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Traffic management approaches using machine learning and deep learning techniques: A survey
6 references·0 citing·24 second hop
Traffic management approaches using machine learning and deep learning techniques: A survey (2024)Traffic management approaches using machi…Optimizing Traffic Flow in Smart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning (2023)Optimizing Traffic Flow in Sm…Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications (2021)Simulation, Optimization, and…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions (2021)Deep Learning: A Comprehensiv…Congestion prediction for smart sustainable cities using IoT and machine learning approaches (2020)Congestion prediction for sma…A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System (2020)A Survey of Road Traffic Cong…A Systems Dynamics Approach to Explore Traffic Congestion and Air Pollution Link in the City of Accra, Ghana (2010)MEASURING URBAN TRAFFIC CONGESTION – A REVIEW (2012)Road Traffic Congestion: A Concise Guide (2015)Insights into the socio-economic impacts of traffic congestion in the port and industrial areas of Chittagong city, Bangladesh (2022)Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL) (2022)Urban Planning in the 15-Minute City: Revisited under Sustainable and Smart City Developments until 2030 (2022)Univariate versus multivariate time series forecasting: an application to international tourism demand (2003)Short-term traffic flow prediction with LSTM recurrent neural network (2017)Sales forecasting using multivariate long short term memory network models (2019)Balancing priorities: Decision‐making in sustainable supply chain management (2010)Operations Research for green logistics – An overview of aspects, issues, contributions and challenges (2011)A review of urban transportation network design problems (2013)A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse (2022)Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions (2022)Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review (2024)Prediction of Road Traffic Congestion Based on Random Forest (2017)A combined method for short-term traffic flow prediction based on recurrent neural network (2020)Simulation Model to Reduce the Traffic Jams with a Stochastic Program (2022)Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective (2021)Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions (2023)Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization (2023)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism (2023)The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks (2024)
this work references cited by second hop

References

  • 2021Machine Learning: Algorithms, Real-World Applications and Research Directions5,577 cited
  • 2021Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions2,700 cited
  • 2020A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System510 cited
  • 2020Congestion prediction for smart sustainable cities using IoT and machine learning approaches185 cited
  • 2023Optimizing Traffic Flow in Smart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning169 cited
  • 2021Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications116 cited

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