A5065937964- Traffic Prediction and Management Techniques
- Artificial Intelligence in Games
- Transportation Planning and Optimization
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Vehicular Ad Hoc Networks (VANETs)
- Energy Efficiency in Computing
- Cloud Computing and Resource Management
- Adaptive Dynamic Programming Control
- Reinforcement Learning in Robotics
- Traffic control and management
International University of Business Agriculture and Technology
2021
East West University
2019
Continuous increments in world population demands transportation with essential vehicle facilities and directly effect on road traffic volume or congestion, mostly metropolitan cities, thus it needs significant investigation, analysis, maintenance. In these regards, an Intelligent Traffic Management System (ITMS) a Deep-Neuro-Fuzzy model was proposed implemented. Dijkstra algorithm is used to select optimum path from source destination the basis of calculated segment weights framework....
Intelligent Traffic Management (ITM) helps to solve real-time traffic problems and guides efficient effective routes reach a destination. It aggregates information from various sensors located in different places of roads vehicles collect kinds data about vehicles, weather, roads, traffic, etc. These are filtered processed generate results which ITM generates appropriate communication-related decisions. The full must be able cooperate by allowing communication with among and/or IoT devices....