Today, the high volume of vehicle traffic makes the monitoring of the devices involved in traffic management increasingly necessary. Traffic Manager integrates a management tool for traffic control and data collection devices to optimize their performance, detecting and correcting anomalies in their operation.
Traffic Manager is a powerful tool designed to monitor changes in traffic flows and provide valuable information in real time. Traffic Manager offers an easily-interpreted overall view that enables potential incidents to be anticipated. The system stores all the information collected by field devices for subsequent analysis and the automatic generation of traffic statistics. It has advanced “Deep Learning” and “Big Data” tools that enable predictive models that cover the current needs of the infrastructure managers of Smart Cities.
Traffic Manager allows the user to monitoring the operation of connected devices, set up alarms and programme automatic actions with different control routines. Thus providing information on the current traffic situation in real time and allowing preventative actions to be carried out if necessary. This allows the streamlining of the response from the control centre in any situation.
SOLUTION MAIN FEATURES
-
DATA CENTRALIZATION
Centralizes data from LPR cameras, traffic sensors, and other surveillance devices into a unified platform for comprehensive traffic management and analysis.
-
TRAFFIC ANALYTICS
Provides robust traffic analytics capabilities, including real-time and historical traffic data visualization, traffic flow analysis, and identification of congestion patterns.
-
VIOLATION DETECTION
Detects traffic violations such as speeding, running red lights, illegal parking, and unauthorized vehicle access using LPR data and sensor inputs.
-
SANCTION MANAGEMENT
Manages the enforcement of traffic regulations by generating and issuing sanctions (e.g., tickets, fines) to violators based on captured evidence from LPR cameras and sensors.
-
SECURITY INTEGRATION
Integrates with security systems to enhance public safety measures, enabling proactive monitoring of suspicious vehicles, identification of stolen vehicles, and tracking of persons of interest.
-
DATA ANALYTICS AND REPORTING
Provides comprehensive data analytics tools for generating reports, identifying trends, and making data-driven decisions to optimize traffic management strategies and enhance public safety.
-
SCALABILITY AND INTEGRATION
Offers scalability to accommodate growing data volumes and seamlessly integrates with existing infrastructure, including traffic management systems, surveillance networks, and backend databases.
-
COMPLIANCE AND REGULATION
Ensures compliance with data privacy regulations and standards while managing sensitive information collected from LPR cameras and other surveillance devices.
-
CUSTOMIZATION AND FLEXIBILITY
Allows customization of workflows, rules, and alerts to meet the specific needs and requirements of municipalities, law enforcement agencies, and transportation authorities.
-
USER INTERFACE AND ACCESSIBILITY
Provides an intuitive user interface with easy-to-use features and accessibility options for operators, administrators, and other stakeholders involved in traffic management and public safety operations.
By offering these essential functionalities, the software platform empowers authorities to effectively analyze traffic patterns, enforce regulations, and enhance public safety through the centralized management of data from LPR cameras and other sensors.
APPLICATIONS
Traffic Management: Real-time monitoring of traffic flow, identification of congestion hotspots, optimization of traffic signal timings, improved overall traffic management.
Law enforcement: Automated detection of stolen vehicles, identification of vehicles involved in criminal activities, enhanced border security through vehicle tracking.
Toll Collection: Automated toll collection without the need for toll booths, reduced congestion at toll plazas, improved revenue collection accuracy.
Access Control: Secure access to restricted areas such as gated communities, corporate campuses, and government facilities, automated entry and exit logging for enhanced security.
Public Safety: Surveillance of vehicles in public spaces, identification of vehicles linked to police alerts or missing persons cases, improved response times for emergency services.