CenterCal Properties’ Phase II expansion of The Village at Meridian signifies typical challenges in fast-growing metropolitan edges. New retail and service additions do more than increase trips; they alter trip timing and concentration, affecting intersections differently.

Transportation engineers focus on identifying where, when, and how the network will fail first to maximize mobility benefits of interventions. Ticon’s traffic analytics methodology supports this by pinpointing authentic bottlenecks beyond mere volume counts.

Bottlenecks are not always where volumes are highest

High Annual Average Daily Traffic (AADT) is not synonymous with bottlenecks, which are performance issues caused by factors like signal timing, lane geometry, or turning demand. Ticon constructs a high-resolution view using multiple data sources and algorithms to estimate speeds and volumes for nearly all roadways with fine spatial and temporal granularity.

From traffic counts to intervention ranking

Ticon’s virtual transportation model ranks network locations by harm imposed, considering delay, saturation, and total driver time loss to prioritize where interventions like signal timing or lane adjustments deliver the greatest benefit.

Why turning movements often reveal the bottleneck

Intersection bottlenecks are directional; specific movements may exceed capacity during narrow windows. Ticon estimates turning movements with proprietary algorithms, aligning with Highway Capacity Manual standards, validated with field measurements showing discrepancies within 7-22%.

Accuracy and coverage determine whether bottleneck maps can be trusted

Ticon addresses large urban network measurement challenges by combining continuous data coverage, fine spatial resolution, and cross-verification to reduce errors and prevent misidentification of bottlenecks due to limited observations or anomalies.

The intervention question: demand reduction is not enough

Demand reduction alone often fails to reduce delay meaningfully if structural and control constraints persist. Ticon shows signal timing optimization can cut travel delays up to 50%, emphasizing precise bottleneck identification to avoid ineffective spending.

Toward evidence-based urban mobility decisions

Urban growth changes traffic unevenly, making layered analysis of demand, capacity, and control critical. Ticon integrates multiple data and metrics to generate ranked lists of crucial bottlenecks and tailored intervention strategies, enabling cities to target infrastructure spending effectively as they expand.