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Your search keyword '"TRAFFIC engineering"' showing total 70 results

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70 results on '"TRAFFIC engineering"'

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1. Utilizing TabNet Deep Learning for Elephant Flow Detection by Analyzing Information in First Packet Headers.

2. A machine learning pipeline for extracting decision-support features from traffic scenes1.

3. Utilizing YOLOv5 for object detection: Unveiling the world through deep learning.

4. A modified-YOLO based vehicle-pedestrian detection model for improved urban mobility.

5. Intelligent Infrastructure for Traffic Monitoring Based on Deep Learning and Edge Computing.

6. A Novel Spatiotemporal Periodic Polynomial Model for Predicting Road Traffic Speed.

7. Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks.

8. Short-term traffic flow prediction based on optimized MSTSAN model.

9. Better value estimation in Q-learning-based multi-agent reinforcement learning.

10. Variable Speed Limit Control for Mixed Traffic Flow on Highways Based on Deep-Reinforcement Learning.

11. A survey on deep learning based vehicular traffic control systems.

12. Spatial linear transformer and temporal convolution network for traffic flow prediction.

13. Lightweight Vehicle Detection Based on Improved YOLOv5s.

14. A lightweight license plate detection algorithm based on deep learning.

15. TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction.

16. Deep learning-based vehicles tracking in traffic with image processing techniques.

17. Security system with motion detection and occupancy breach detection.

18. Toward a deep CNN and RS‐GOA framework for vehicle detection, traffic flow estimation, and optimal path selection from surveillance videos.

19. BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data.

20. Ensemble deep learning-based lane-changing behavior prediction of manually driven vehicles in mixed traffic environments.

21. Highway traffic congestion detection and evaluation based on deep learning techniques.

22. Optimized instance segmentation by super-resolution and maximal clique generation.

23. Deep Reinforcement Meta-Learning and Self-Organization in Complex Systems: Applications to Traffic Signal Control.

24. Research of automatic recognition of car license plates based on deep learning for convergence traffic control system.

25. Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images.

26. Computer Vision Applications in Intelligent Transportation Systems: A Survey.

27. Deep Q-Learning Network Model for Optimizing Transit Bus Priority at Multiphase Traffic Signal Controlled Intersection.

28. Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach.

29. A sustainable competing dynamic - Real-time Bangla license plate detection and recognition system using YOLOv5 and SSD: A deep learning application.

30. A Cascaded transition recurrent feature network (CTRFN) based Paramount Transfer learning (PTL) model for traffic congestion prediction.

31. Fusion of deep belief network and SVM regression for intelligence of urban traffic control system.

32. A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction.

33. A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction.

34. A survey on deep reinforcement learning approaches for traffic signal control.

35. Learned load balancing.

36. Fast-DSAGCN: Enhancing semantic segmentation with multifaceted attention mechanisms.

37. A Car-Following Model considering the Effect of Following Vehicles under the Framework of Physics-Informed Deep Learning.

38. Deep Learning for Vessel Trajectory Prediction Using Clustered AIS Data.

39. Multi-Agent Deep Reinforcement Learning to Manage Connected Autonomous Vehicles at Tomorrow's Intersections.

40. A cold-start-free reinforcement learning approach for traffic signal control.

41. SCFFNet: Spatial Context Feature Fusion Network for Understanding the Highly Congested Scenes.

42. ABL-TC: A lightweight design for network traffic classification empowered by deep learning.

43. Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning.

44. A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment.

45. A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models.

46. Impact of federated deep learning on vehicle-based speed control in mixed traffic flows.

47. Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management.

48. Attention based spatiotemporal graph attention networks for traffic flow forecasting.

49. Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images.

50. Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión.

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