An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users
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Summary
This research addresses the challenge of consolidating diverse, high-volume transportation data sources into a consistent framework for real-time dissemination to road users. The primary motivation is to improve safety by alerting drivers to hazardous conditions, particularly secondary crashes caused by stopped traffic queues, which carry a significantly higher crash risk. Existing systems struggled to integrate evolving data sources without frequent reengineering. To solve this, the authors developed an integrated critical information delivery platform centered on a "smart segment" geodatabase, enabling efficient data uptake, transformation, and prioritized alert delivery to stakeholders and motorists. The methodology involved creating a statewide baseline milepost geodatabase at a 0.1-mile resolution using Indiana Department of Transportation (INDOT) GIS resources. This platform integrated multiple data sources, including INRIX traffic speeds, Indiana CARS traveler information, Doppler weather data, and connected vehicle (CV) telemetry. A real-time Application Programming Interface (API) was developed to process GPS locations and retrieve relevant roadway conditions, such as speed, status, and weather, for specific segments. The system employed message prioritization heuristics to generate alerts, which were delivered via Android and iOS smartphone applications. Performance was evaluated through a high-fidelity driving simulator study and limited on-road field tests, measuring driver responses to back-of-queue warnings. The study found that the smart segment platform successfully standardized route, direction, and milepost data statewide, allowing for the efficient integration of existing and future data sources. The developed API effectively processed GPS inputs to provide decision-making data for external systems. The team created three new web dashboards, updated legacy applications, and deployed smartphone apps that successfully issued real-time alerts. Simulator and field tests demonstrated the system’s ability to disseminate data in real-time, providing quantifiable evidence of driver responses to the alerts. The platform supported visual assessment of roadway conditions through heatmap dashboards and trajectory traces, facilitating both real-time monitoring and after-action reviews. The significance of this work lies in its provision of a scalable, unified infrastructure for intelligent transportation systems. By institutionalizing the smart segment geodatabase, transportation agencies can streamline the integration of new data sources, such as winter weather operations and workzone management, without extensive reengineering. The platform supports life-saving applications by enabling timely warnings for hazardous conditions like back-of-queue incidents. The findings offer a blueprint for near-term integration with state operations and long-term expansion into broader asset tracking and maintenance needs, enhancing the efficiency and safety of transportation infrastructure management.
Key finding
The integrated platform successfully disseminated critical roadway information in real-time to drivers through smartphone applications and dashboards, with simulator tests providing quantifiable data on driver responses to back-of-queue alerts.
Methodology
mixed_methods
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 (6 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 | — | — | 2 | 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 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 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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Information type
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- Methodological Resource: tool software, dataset resource, validation psychometrics