Optimize Traffic Network Performance

Microscopic traffic simulation enables you to quantify the impact of alternative signal control strategies before deployment, providing an evidence-based foundation for decisions.  

With PTV Vissim, alternative signal control strategies, including fixed-time, actuated and adaptive control, can be evaluated within a detailed representation of traffic operations. Vehicle interactions, lane-changing behavior, public transit dwell times and pedestrian crossings are explicitly simulated at the individual vehicle level. 

Signal control logic can be implemented using built-in controllers or external algorithms via interfaces such as VAP, RBC or open APIs. This allows coordinated signal systems, green-wave strategies, transit signal priority and demand-responsive control to be tested under variable demand conditions. 

The resulting performance metrics, including queue development, level of service and travel time distributions, provide a robust basis for performance-based signal optimization prior to implementation. 

PTV Vissim provides a controlled simulation environment to test Cooperative Intelligent Transportation Systems (C-ITS) strategies, priority measures, and connected vehicle logic, quantifying their impact on reliability, passenger travel time, and overall network performance.  

Transit signal priority, conditional priority rules, queue-jump lanes, and dedicated corridors can be implemented and tested under varying demand conditions.  

PTV Vissim focuses on high-resolution behavioral realism and integration with professional signal control systems (e.g., VAP, RBC, SCATS, SCOOT), ensuring that C-ITS strategies are validated under operationally accurate conditions.  

Through integration with LISA+, real-world signal control logic can be directly tested within the traffic simulation environment. 

Parking strategy has a direct impact on traffic circulation, congestion, and the efficient use of urban space.  

Poorly managed parking can generate search traffic and localized bottlenecks that affect overall network performance.  

PTV Vissim enables detailed simulation of on-street and off-street parking facilities, including access points, internal circulation and capacity constraints. Parking search behavior and dynamic occupancy patterns can be represented to assess their influence on surrounding traffic conditions.  

In practice, congestion often begins at access points: queue spillback occurs, vehicles block traffic while searching for spaces, and flows are redistributed across neighboring streets. Traffic simulation in PTV Vissim captures these effects and makes them measurable. 

Scenario analysis then allows planners to test supply changes, pricing strategies, time restrictions, and parking guidance under realistic demand conditions, providing a clear basis for operational and policy decisions.