Salahmohameds/Cairo-Transportation-Optimization-System

A comprehensive system for optimizing transportation networks in Cairo, Egypt. This project provides tools for route planning, traffic optimization, emergency routing, and public transit optimization. # Cairo Transportation Optimization System A comprehensive system for optimizing transportation networks in Cairo, Egypt. This project provides tools for route planning, traffic optimization, emergency routing, and public transit optimization. ## Features - Interactive route planning with real-time traffic considerations - Emergency vehicle routing optimization - Public transit system optimization - Traffic flow analysis and optimization - Minimum spanning tree network design - Visualization tools for network analysis - Interactive route visualization with multiple algorithms - Dynamic route selection based on traffic conditions - Alternative route suggestions ## Project Structure ### Core Components - `main.py`: Main entry point for the application - `config.json`: Configuration file for data paths and parameters ### Data Management (`data/`) - `raw_data_parser.py`: Parses and processes raw transportation data - `load_network_data()`: Loads and processes network data from CSV files - `parse_node_data()`: Processes node (location) data - `parse_edge_data()`: Processes road/edge data - `parse_facility_data()`: Processes facility (hospitals, schools, etc.) data - `parse_traffic_data()`: Processes traffic pattern data ### Algorithms (`algorithms/`) - `shortest_path.py`: Traffic-aware shortest path algorithms - `dijkstra()`: Finds shortest path considering traffic conditions - `get_alternative_routes()`: Generates alternative routes - `calculate_travel_time()`: Estimates travel time with traffic - `emergency_routing.py`: Emergency vehicle routing - `a_star_search()`: A* algorithm for emergency routing - `find_nearest_emergency_facility()`: Locates nearest emergency facility - `get_emergency_response_time()`: Calculates emergency response time - `transit_optimization.py`: Public transit optimization - `optimize_route_frequency()`: Optimizes bus frequencies - `optimize_stop_sequence()`: Optimizes bus stop sequence - `calculate_route_metrics()`: Evaluates transit …