Council heard a presentation from Infrastructure Management Services on a new pavement-condition analysis built from 3D scanning, PCI scoring and unit-price budgeting. The software breaks pavement into block-level segments, applies deterioration curves and generates a five-year rehabilitation plan that staff can adjust by budget and program needs. Presenters said the tool gives staff data-driven recommendations and cost estimates, but it does not automatically cluster nearby segments for contractor mobilization; staff will consolidate segments to gain economies of scale when issuing work.
Using year-one candidates from the analysis, staff proposed a list of streets to match the Local Road Assistance (LRA) grant of approximately $68,547. Council asked how streets were selected; staff said they pulled eligible segments from the year-one plan to fit the grant amount while considering logistics. Council approved the proposed LRA street list unanimously.
Outcome: The council approved the grant street list for the LRA allocation and asked staff to continue applying the pavement tool to multi-year budgeting and to consolidate geographically adjacent segments where practical to reduce mobilization costs.