Intelligent Network Flow Optimization (INFLO) prototype : Seattle small-scale demonstration plan.
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Summary
This document outlines the plan for a small-scale field demonstration of the Intelligent Network Flow Optimization (INFLO) prototype in Seattle, Washington. The research addresses the need to validate INFLO applications—specifically Queue Warning (Q-WARN) and Speed Harmonization (SPD-HARM)—in an operational highway environment, following successful controlled tests in Columbus, Ohio. The primary motivation is to determine if the system functions reliably in real-world traffic conditions and to generate data to support planning for a comprehensive field deployment. The study aims to assess system functionality, algorithm performance, driver behavior, and user feedback, while comparing connected vehicle data against existing infrastructure-based sensors. The experimental design involves deploying the INFLO system in approximately 15 to 24 vehicles along a seven-mile corridor of Interstate 5 south of downtown Seattle. This site was selected for its recurring congestion and existing Active Traffic Management (ATM) infrastructure, including Variable Speed Limit Signs (VSLS) on the northbound lanes. The INFLO prototype consists of connected vehicle systems equipped with Android user interfaces, DSRC radio modules, and OBD-II telematics devices, alongside roadside units (RSUs) for infrastructure-to-vehicle communication. Data is transmitted via both DSRC and cellular networks to a cloud-based Traffic Management Entity (TME). The demonstration involves scripted driving scenarios during morning rush hours, capturing real-time vehicle speed, acceleration, and deceleration data. The system processes this data to detect congestion queues and deliver recommended speeds and queue warnings to drivers. The study focuses on testing specific hypotheses regarding the integration of connected vehicle data with infrastructure-based speed sensors to improve the resolution of queue length and location estimates. It also evaluates whether connected vehicle data alone can provide comparable estimates to infrastructure sensors. The experimental plan includes rigorous data quality verification and analysis of system latency, processing speed, and bandwidth. Additionally, the project collects driver impressions through surveys to assess perceived benefits and usability. The demonstration serves as an interim step between controlled environment tests and full-scale deployment, aiming to refine INFLO algorithms by comparing recommendations generated from connected vehicle data with those from the WSDOT ATM system. The significance of this work lies in its potential to validate connected vehicle technology for dynamic mobility applications in operational settings. By demonstrating the viability of INFLO in a complex urban corridor, the project provides a basis for future large-scale implementations. The findings are intended to inform the development of systems that can smooth traffic flow, reduce congestion-related crashes, and improve travel time reliability. The report details the logistical, technical, and analytical frameworks necessary to assess these technologies, contributing to the broader field of Intelligent Transportation Systems (ITS) by bridging the gap between prototype development and real-world application.
Key finding
The document describes the planned methodology and objectives for a small-scale demonstration of the INFLO prototype, rather than reporting results from a completed study.
Methodology
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Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (48 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 6 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 48 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 24 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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