

PTV Optima is a traffic management system designed for multimodal networks. It aggregates data from various sensors, including floating car data (FCD), automatic number plate recognition (ANPR), and public transport feeds, to provide a live overview of network conditions.
The software is intended for traffic management operators, city transportation bureaus, and public transport providers. It combines machine learning with transportation models to forecast traffic conditions across road networks, which may support decision-making during unplanned events or scheduled construction.
Users can simulate different mitigation strategies in a virtual environment to evaluate how to steer traffic away from incidents. The system also includes tools for adaptive signal control and public transport integration to provide passengers with updated travel information.
Buyers should confirm the specific modular requirements for their network, as the software allows for the activation of specific modules based on organizational needs.
Uses machine learning and transportation models to predict future traffic conditions across the network.
Supports the simulation and evaluation of different traffic mitigation strategies in a virtual environment.
Supports the creation of personalized performance indicators and dashboards for network monitoring.
Connects to signal optimization tools to coordinate green waves and improve intersection flow.
Monitors real time fleet positions to identify delays where transit routes mix with private traffic.
Combines different modes of transport to provide travel information and optimization options.
Simulates vehicle-to-vehicle interactions to help develop ramp metering and managed lane strategies.
Monitoring live traffic via dashboards to identify and manage bottlenecks and tailbacks.
Running parallel simulations to determine a strategy for steering traffic away from accidents.
Integrating with operation control centers to provide passengers with expected delays.
Using historical and real time sensor data to validate network performance and address data biases.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
It connects to various sensor data including floating car data (FCD), automatic number plate recognition (ANPR), detector information, and updates on accidents and construction sites.
Yes, it integrates with public transport operation control centers to monitor fleet positions and provide travel information regarding expected delays.
The software uses a combination of machine learning and transportation models to forecast traffic conditions for both planned and unplanned events.
Yes, the provided evidence indicates that users can buy and activate only the specific modules they need for their operations.
Source category: Operations
Source subcategory: Traffic Management
PTV Optima is real time traffic management software for multimodal networks used by government and transportation agencies. It supports traffic forecasting and scenario simulation through a combination of machine learning and sensor data.