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City of Lakeland·Florida

Traffic Safety Software

Closes 10/13/2026$250k – $750kRequest for Proposal
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Description

The City of Lakeland seeks a cloud‑based traffic safety data analysis platform to ingest, integrate, and visualize multi‑source traffic data (volumes, speeds, crash records, near‑misses) and to generate risk assessments, heat‑maps, and dashboards supporting its Vision Zero Action Plan. The solution must meet stringent NIST‑aligned cybersecurity standards, offer role‑based access, scalability, and user‑friendly interfaces for non‑technical staff, and be delivered within a six‑month implementation window with training and ongoing support. • Cloud‑based SaaS with high availability and scalability • Data integration from quarterly traffic volumes, speed percentiles, monthly crash data, and optional near‑miss feeds • Geospatial analytics, heat‑maps, before‑after comparisons, and customizable dashboards • AI/ML risk modeling with bias mitigation, explainability, and data anonymization • Role‑based security, MFA, AES‑256 at rest, TLS 1.2+ in transit, NIST CSF compliance • Integration with existing on‑premise Oracle, PeopleSoft, and eBS systems • Implementation plan (≤ 6 months) including project manager, milestones, status reports, change management, and end‑user training • Ongoing licensing, maintenance, and support fees outlined in cost proposal

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Theresa Schwartz(Senior Buyer)

[email protected]

(863) 834-8447

Key dates

Opened
9/10/2026
Questions due
9/23/2026
Closes
10/13/2026
Duration
6 months

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
511210
Solicitation №
2026-RFP-108

Budget estimate

$250,000 – $750,000

The RFP does not disclose a budget. Comparable municipal traffic‑safety SaaS solutions typically range from $250,000 to $750,000 for a multi‑year license, implementation services, training, and support. The lower end assumes a basic subscription with limited customization; the higher end reflects extensive data integration, AI model development, and premium support. Factors influencing the final amount include the number of user seats, data volume, optional near‑miss modules, and the length of the maintenance contract.

AI estimate from the solicitation

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