Queues form lane by lane in the real world — the SIDRA network model captures what link-based tools aggregate away.
When a downstream queue blocks an upstream lane, capacity is reduced — identified at the individual lane level, not approximated.
Second-by-second platoon tracking, Offset optimisation, and Common Control Groups — with no equivalent in competing analytical tools.
In a link-based model, the performance of individual lanes is lost in aggregation. But queues form lane by lane in the real world, and the capacity and congestion effects that drive gridlock — a blocked right-turn bay, a short lane that overflows, a downstream queue that spills back into an upstream through lane — all occur at the lane level.
When a downstream queue blocks an upstream lane, capacity is reduced — identified at the individual lane level, not approximated. The network model propagates these effects across up to 50 Sites.
The lane configurations that cause real-world congestion — short turn bays that overflow, shared lanes where one movement blocks another, merge points where two streams compete — all require lane-level modelling to analyse properly.
For signalised Sites in Networks, SIDRA INTERSECTION generates lane-based, second-by-second platoon arrival and departure patterns by Movement Class. Midblock lane changes are applied to these patterns — critical for closely-spaced intersections.
Pre-built templates for common intersection and network configurations eliminate manual geometry setup — select a template, adjust the parameters, and analyse.
Define routes through the network to report travel time, speed and delay broken down by component — also used for signal offset calculations to optimise two-way progression along corridors.
Lane-based,
not link-basednot link-level approximation
Most analytical tools treat each intersection in isolation. Microsimulation captures spillback but at significant computational cost. The SIDRA INTERSECTION Network model captures these effects analytically, at the lane level, with deterministic and reproducible results.
In a link-based model, the performance of individual lanes is lost in aggregation. But queues form lane by lane in the real world, and the capacity and congestion effects that drive gridlock — a blocked right-turn bay, a short lane that overflows, a downstream queue that spills back into an upstream through lane — all occur at the lane level.
Queue spillback and backward congestion spreadwhen downstream queues block upstream lanes
Short lane queues overflowing into adjacent full-length lanes, exit blockage effects, and back of queue extending upstream at intermediate locations with continuous lanes.
When a downstream queue blocks an upstream lane, capacity is reduced — identified at the individual lane level, not approximated. The network model propagates these effects across up to 50 Sites.
Where congestion occursshort lanes, shared lanes, merges
Link-based models that aggregate to lane groups cannot identify these effects — let alone quantify the design changes needed to resolve them.
The lane configurations that cause real-world congestion — short turn bays that overflow, shared lanes where one movement blocks another, merge points where two streams compete — all require lane-level modelling to analyse properly.
Signal coordination with second-by-second platoon trackinglane-based patterns by Movement Class
Second-by-second platoon tracking, Offset optimisation, and Common Control Groups — with no equivalent in competing analytical tools.
For signalised Sites in Networks, SIDRA INTERSECTION generates lane-based, second-by-second platoon arrival and departure patterns by Movement Class. Midblock lane changes are applied to these patterns — critical for closely-spaced intersections.
Site and Network Templatescomplete geometry in seconds
The modeller adjusts volumes, phasing and geometry — from template to results in minutes, not hours.
Pre-built templates for common intersection and network configurations eliminate manual geometry setup — select a template, adjust the parameters, and analyse.
Routes for travel time and performancefive delay components in every calculation
Each route decomposes travel time into five distinct delay components — giving practitioners visibility into where time is lost and why.
Define routes through the network to report travel time, speed and delay broken down by component — also used for signal offset calculations to optimise two-way progression along corridors.
Micro-analytical
traffic assignment
Everything on this page — lane-level precision, queue spillback, signal coordination, route performance — feeds directly into SIDRA ASSIGN. It is the only traffic assignment tool built on a micro-analytical Network model.