Design cleaner, safer and truly multimodal mobility

Urban streets are increasingly redesigned to prioritize cycling, walking and public transport. Reallocating road space, such as introducing protected or new bike paths, bus lanes or car-free zones, directly affects traffic circulation, intersection performance and overall network stability.

PTV Vissim enables planners to evaluate multimodal street redesign strategies within a microscopic traffic simulation before implementation. Alternative lane allocations and street layouts can be analyzed to understand how changes influence vehicle flow, public transport reliability and active mobility integration under consistent peak conditions.

The simulation makes interactions between cars, cyclists, pedestrians, and public transport measurable across each design scenario. Capacity constraints, queue development, spillback effects and potential conflict areas become visible at both intersection and corridor level. In addition, surrogate safety indicators such as time-to-collision and post-encroachment time can be derived from vehicle and pedestrian trajectories to identify high-risk areas proactively. Required signal timing adjustments can be implemented and tested directly to reflect modified geometries.

Through structured scenario comparison, cities gain a robust basis for selecting active mobility concepts that improve safety and accessibility while maintaining operational performance.

Public transport performance is often determined by how buses and trams operate within mixed traffic. Congestion, dwell time variability at stops and signal coordination along the corridor can quickly affect punctuality and service reliability, particularly under peak conditions.

Microscopic traffic simulation makes these operational effects measurable before changes are implemented in the field. PTV Vissim represents public transport vehicles within the surrounding traffic flow, capturing interactions with private vehicles, cyclists and pedestrians under realistic traffic scenarios.

Stop operations and passenger boarding behavior are reflected in the simulation, allowing assessment of how dwell time variability influences headway stability and travel time reliability. Signal priority measures, including conditional priority and coordinated progression, can be evaluated within the same simulation to understand their impact on corridor performance.

Performance indicators such as delay distribution, headway variance and corridor-level travel time reliability provide a structured basis for improving service reliability while maintaining overall network stability.