ER Diagram for Road Accident Data Logging and Analysis System

Original Prompt: ER Diagram for Road Accident Data Logging and Analysis System Key Entities Accident Vehicle Driver Location Passenger Pedestrian Police Report Relationships Overview Each Accident can involve multiple Vehicles. Each Vehicle is operated by a Driver. An Accident can have multiple Passengers (involved per vehicle). An Accident may involve Pedestrians. Each Accident happens at a Location. Each Accident has a corresponding Police Report. List of Core Attributes Entity Attributes Accident Accident_ID (PK), Date, Time, Severity, Weather, Cause Vehicle Vehicle_ID (PK), Type, Make, Model, License_no, Insurance_no Driver Driver_ID (PK), Name, License_no, DOB, Gender, Contact Passenger Passenger_ID (PK), Name, Age, Gender, Injury_status, Vehicle_ID (FK) Pedestrian Pedestrian_ID (PK), Name, Age, Gender, Injury_status Location Location_ID (PK), Area, City, State, Latitude, Longitude Police Report Report_ID (PK), Officer_Name, Officer_ID, Report_Date, Accident_ID (FK) Relationships Accident --< involves >-- Vehicle Vehicle --< operated by >-- Driver Vehicle --< has >-- Passenger Accident --< involves >-- Pedestrian Accident --< occurs at >-- Location Accident --< documented by >-- Police Report Diagram Description Below is a textual representation for clarity: text [Accident]---<involves>---[Vehicle]---<operated by>---[Driver] | | | +---<has>---[Passenger] | +---<involves>---[Pedestrian] | +---<occurs at>---[Location] | +---<documented by>---[Police Report] Explanation of Design Choices Normalization of data: Separation of entities like Vehicle, Driver, Passenger, Pedestrian improves data integrity and reduces redundancy. Flexibility: The design allows multiple vehicles and people in a single accident, representing real-world complexity. Comprehensive Logging: Captures necessary details for detailed analysis by traffic authorities and researchers. Reference Notes The above structure is based on common database designs for road accident management systems, such as the RADMS and public safety studies. Both accident-centric and participant-centric details are captured, supporting rich queries for analysis and reporting.

Model: Imagen 4

Created on 7/20/2025 Report