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Papers tagged with "Traffic"
DESIGN AND IMPLEMENTATION OF AN FPGA BASED SMART TRAFFIC LIGHT CONTROL SYSTEM USING CAMERA BASED VEHICLE DETECTION
Traffic Congestion Is A Major Challenge In Rapidly Growing Urban Areas, While Conventional Fixed-time Traffic Signals Cannot Respond Effectively To Changing Traffic Density. This Paper Presents A Camera-based Smart Traffic Light Control Sys...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
Smart Traffic Management System: An AI-Powered IoT Framework For Urban Mobility Optimization
Urban Traffic Congestion Imposes Significant Economic, Environmental, And Social Burdens On Modern Cities. Traditional Fixed-timing Traffic Control Systems Lack The Adaptability To Handle Dynamic Traffic Flows, Resulting In Inefficiencies,...
An Optimized Machine Learning Model For Forecasting Traffic Speeds In Urban Environments
The Potential For Data Collecting And Analytics-based Intelligent Traffic Systems (ITS) To Improve Traffic Systems Is Now Being Investigation. Predicting How Fast Traffic Will Be Moving Is One Of The Most Important Uses For This Technology....
DEEP LEARNING-BASED SMART PARKING SYSTEM WITH DUAL AUTHENTICATION USING FACIAL RECOGNITION AND LICENSE PLATE DETECTION
Due To The Fast-paced Development Of Cities And The Rise In The Number Of Cars, Parking Has Become Quite Challenging To Manage. Conventional Parking Systems Depend Mainly On Human Efforts, Tickets, Or Just Basic Sensors. Such Approaches Pro...
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
TRANSGUARD-RT: A REAL-TIME TRANSFORMER-DRIVEN INTRUSION DETECTION SYSTEM USING LIVE NETWORK TRAFFIC ANALYTICS
The Rapid Expansion Of Internet-based Communication And Interconnected Digital Infrastructures Has Significantly Increased Exposure To Advanced Cyber Threats, Including Malware Infiltration, Phishing Attempts, Denial-of-service Attacks, And...
AI-Based Automatic Network Traffic Routing To Avoid Congestion
The Exponential Increase In Network Traffic Has Made Congestion A Major Challenge, Leading To Increased Latency, Packet Loss, And Reduced Quality Of Service (QoS). This Paper Presents An Intelligent And Adaptive Traffic Routing System That...
Detection Of Screen Shadowing-Based Visual Data Exfiltration Attacks In VNC Systems
With The Increasing Adoption Of Remote Desktop Technologies In Enterprise Environments, The Security Of Visual Network Computing (VNC) Systems Has Become A Critical Concern. Screen Shadowing Attacks Represent A Significant Threat Vector Whe...
Traffic Signal Violation Detection System
Managing Traffic At Busy Intersections Has Become Increasingly Challenging Due To Frequent Signal Violations By Drivers. Ignoring Red Signals Often Leads To Unsafe Road Conditions And Traffic Disturbances. To Address This Issue, This Projec...
Intelligent Network Traffic Prediction Using Graph Neural Networks
The Widespread Deployment Of Wireless Communication Technology Has Made The Wi-Fi Network More Susceptible To Sophisticated Cyber-attacks, Which Include De-authentication Attacks, Rogue Access Points, Traffic Flooding, And Protocol Misuse....
CONGESTION AND PERFORMANCE EVALUATION OF ROUNDABOUTS: CASE STUDY AT INDORE CITY; INDIA
When There Is A Greater Demand For Space Than The Road Can Provide Due To An Inflow Of Vehicles, Traffic Jams Arise. Statistical Computer Models And Numerical Field Data About Vehicle Counts Are Essential Instruments For Assessing The Traff...
IOT ENABLED SMART TRAFFIC SYSTEM FOR EMERGENCY VEHICLES
Road Accidents Often Result In Severe Consequences Due To Delays In Emergency Detection And Response. Conventional Systems Rely On Manual Reporting Or Single-sensor Mechanisms, Which May Lead To False Alerts And Slow Assistance. This Paper...
AI-Based Smart Traffic Signal Control System For Emergency Vehicle Prioritization
The Rapid Growth Of Urbanization Has Significantly Increased Traffic Congestion, Posing Critical Challenges For Emergency Medical Services, Particularly Ambulances. Delays Caused By Conventional Fixed-time Traffic Signal Systems Can Lead To...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...