Monitor que muestra un mapa con superposiciones de datos de tráfico, incluyendo íconos que representan incidentes y una leyenda para filtrar datos.
Logotipo para Traffic Manager, con texto negro en negrita en la parte superior y la palabra

Today's high volume of vehicle traffic makes monitoring 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 malfunctions.

 

Traffic Manager is a powerful tool designed to monitor changes in traffic flows and provide valuable information in real time. It offers an easily interpretable overview that helps anticipate potential incidents. The system stores all the information collected by field devices for later analysis and the automatic generation of traffic statistics. It features advanced Deep Learning and Big Data tools that enable predictive models that meet the current needs of Smart City infrastructure managers.

 

Traffic Manager allows users to monitor the operation of connected devices, configure alarms, and schedule automatic actions with various control routines. This provides real-time information on the current traffic situation and allows preventive action to be taken if necessary. This allows for a faster response from the control center in any situation.

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

    It offers robust traffic analysis capabilities, including visualization of real-time and historical traffic data, traffic flow analysis, and identification of congestion patterns.

  • detection of violations

    Detects traffic violations such as speeding, red light running, illegal parking, and unauthorized vehicle access using LPR data and sensor inputs.

  • sanctions management

    Manages traffic enforcement by generating and issuing sanctions (e.g., fines) to violators based on evidence captured by LPR cameras and sensors.

  • SECURITY INTEGRATION

    It 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 ANALYSIS AND REPORTS

    It offers comprehensive data analysis tools to generate reports, identify trends, and make data-driven decisions to optimize traffic management strategies and improve public safety.

  • SCALABILITY AND INTEGRATION

    It offers scalability to accommodate growing data volumes and integrates seamlessly with existing infrastructure, including traffic management systems, surveillance networks, and backup databases.

  • COMPLIANCE AND REGULATION

    Ensures compliance with data privacy regulations and standards while handling sensitive information collected by LPR cameras and other surveillance devices.

  • PERSONALIZATION AND FLEXIBILITY

    It allows for 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

    It 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 improve public safety through centralized management of data from LPR cameras and other sensors.

easy integration:


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Reader Vision Cameras

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Vision Reader Management Solutions

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Sensor Air Quality

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Air Quality Sensors

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Variable messaging panels

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CCTV cameras

Applications


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Traffic Management: Real-time monitoring of traffic flow, identification of critical congestion points, optimization of traffic light timing, and improvement in overall traffic management.

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Law enforcement: Automated stolen vehicle detection, identification of vehicles involved in criminal activity, enhanced border security through vehicle tracking.

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Toll Collection: Automated toll collection without the need for toll booths, reducing congestion at toll stations, and improving the accuracy of revenue collection.

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Access Control: Secure access to restricted areas such as gated communities, corporate campuses, and government facilities, with automated entry and exit check-in for enhanced security.

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Public Safety: Vehicle surveillance in public spaces, identification of vehicles linked to police alerts or missing persons cases, and improved response times for emergency services.