Smart City Traffic Data Analytics and Congestion Prediction System
Plag ProSmart City & Urban InfrastructureProject Objectives:
Develop a traffic analytics system that processes real-time transportation data to predict congestion patterns. The platform will help urban planners optimize traffic flow and reduce travel time using time-series forecasting and visualization tools.
Project Tasks:
Collect traffic sensor datasets.
Clean and preprocess time-series data.
Perform trend and seasonality analysis.
Implement ARIMA or LSTM models.
Visualize traffic heatmaps.
Predict congestion levels.
Optimize model accuracy.
Create real-time dashboards.
Conduct performance evaluation.
Provide planning recommendations.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Training Data AnalyticsSupervised Machine Learning Algorithms (Logistic Regression, Decision Trees, Svm, Random Forest)Python Programming SkillsSql And Database ManagementIot Data Processing
