Mobile License Plate Recognition Enforcement System

Overview

Transportation, Fleet & Logistics

Dubuque, Iowa, United StatesPosted about 2 months agoDeadline: April 13th, 2026

Fit Score

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SUMMARY

Request for a mobile license plate recognition enforcement system in Iowa, including integration with existing parking management solutions and remote CMS access.

KEY REQUIREMENTS

BUDGET

Estimate

$150,000 – $400,000

TIMELINE

RFP issued: March 11th, 2026

Questions due: April 1st, 2026, 10:00 a.m. CST

Proposal submittal deadline: April 13th, 2026, before 2:00 p.m. CST

Training Plan delivery: At least 30 days prior to scheduled training sessions

Test Plan delivery: At least 30 days prior to start of first test

Operational Test: 60 days after go-live date

Warranty period: 2 years from final acceptance

Maintenance contract: 5 years after the 2-year warranty period

QUESTION DEADLINE

April 1st, 2026

Issuing Agency

City Of Dubuque

Organization overview and procurement intelligence available on paid plans.

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DESCRIPTION

The agency seeks a vendor to provide a comprehensive mobile license plate recognition (LPR) enforcement system. The solution must include software for testing the system's performance that can be downloaded to a standalone PC. It should feature clear communication protocols, polling procedures, and transaction message flows between peripheral devices and the central management system (CMS).

Vendors must deliver sample screenshots, databases, and enforcement reports, including dashboards and license plate images. The system should allow remote access to the CMS via standard TCP/IP connections, potentially utilizing web browser-based applications. Integration with current AIMS parking management systems—specifically permit and citation management modules—is required.

The LPR system must be microprocessor controlled, supporting online and virtual real-time communications. It is expected to deliver integrated real-time mobile license plate recognition, enforce paid parking and time-limited parking, and implement robust data storage and retrieval procedures. Details on software platforms and programming languages used are also requested.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.