Safe public transportation is one of the most critical elements in cities’ sustainable development strategies. Increasing urbanization, traffic density and security threats have created a more complex structure to ensure the safety and efficiency of public transport services. To address these challenges, we are redefining transportation with “Public Transportation Security”. This system integrates modern solutions such as artificial intelligence, telematics data platforms and advanced sensor technologies to ensure safety and efficiency in transportation.

What is Public Transportation Safety?

Public transportation safety is the totality of the measures taken and technologies used to ensure the safety of drivers, passengers and vehicles in public transportation systems.

The systems developed by MIA Teknoloji offer modern solutions such as artificial intelligence-supported analytics, telematics data platforms and advanced sensor technologies to increase safety and prevent accidents.

Problems in Public Transportation Safety

  • Drivers’ fatigue, distraction and risky behaviors.

  • Abnormal situations that may occur between passengers, such as fights, falls, etc.

  • Vehicle performance and technical problems with components.

  • Inadequate monitoring of fuel consumption and speed control.

  • Lack of data on stop density and timetable planning.

  • Unauthorized persons gaining access to vehicles.

Highlights

Driver Safety and Behavioral Analysis

In public transportation systems, safe and careful driving by the driver is a factor that directly affects passenger safety. Driver Monitoring System (DMS) is designed to meet these needs.

Fatigue Detection: Detects signs of driver fatigue (such as eye closure time, yawning).

Distraction Analysis: Monitors moments of distraction during the journey.

Monitoring Risky Behaviors: Immediate detection of dangerous behaviors such as using the phone or smoking.

Anomaly Detection: Reporting of sudden and unexpected actions of the driver.

Passenger Behavior and Density Analysis

Artificial intelligence-supported image analysis systems are used to ensure passenger safety and effectively manage congestion in public transportation vehicles.

Passenger Counting and Flow Analysis: Continuously measures and reports the passenger density inside the vehicle.

Abnormal Situation Detection: Detects fights, falls or emergencies that may occur between passengers.

Age and Gender Analysis: Analyzes the passenger profile and provides reporting based on demographic data.

Stop Density Analysis: Provides prediction of the densities that may occur at stops by tracking passenger movements.

Vehicle Condition and Performance Monitoring

Continuous performance monitoring and analysis solutions are offered to ensure safe operation of vehicles.

Real Time Tracking: Data such as vehicle speed, fuel consumption, engine temperature are monitored live.

Vehicle Component Analysis: Engine performance and the health status of other critical parts are analyzed in detail.

Optimization: Operational processes are optimized by comparative analysis with historical data.

Face Recognition and Authentication Systems

Facial recognition technology is used to prevent unauthorized access to vehicles and to enable quick identification of drivers. This technology includes several components to increase the level of security.

Authentication: Only authorized drivers are allowed to drive.

Prevention of Unauthorized Access: Unauthorized access to vehicles is prevented.

Fast Recognition: The system completes the face recognition process in milliseconds.

Artificial Intelligence Assisted Forecasting and Reporting

Advanced artificial intelligence algorithms support better planning and management of public transportation operations.

Stop and Route Optimization: Determining the most suitable routes and timings according to passenger demands.

Time Series Analysis: Obtaining predictions for the future using historical data.

Reporting and Visualization: Data from different modules are transformed into visualized reports to accelerate decision-making processes.

Integrated Fleet Management Systems

A centralized and integrated structure in fleet management enables remote management and monitoring of vehicles.

Route and Time Management: Managing the daily routes and trips of vehicles.

Risk Management: Risk assessment based on driver behavior analysis and vehicle health data.

Remote Access: Operational processes can be monitored instantly by providing remote access to vehicle and driver data.