Connected Vehicle Impacts on Transportation Planning—Desk Reference.

Krechmer, Daniel; Blizzard, Katherine; Campbell, Robert; Jensen, Mark · 2016 · ROSA P / United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This desk reference, produced by Cambridge Systematics for the U.S. Department of Transportation’s Intelligent Transportation Systems Joint Program Office, addresses the integration of connected and automated vehicle (C/AV) technology into transportation planning. The primary objective is to help state, metropolitan, and local transportation professionals understand and plan for the impacts of C/AV on existing planning processes and products. The document serves as a companion to a broader final report, synthesizing a C/AV impact typology and case studies to illustrate how these technologies intersect with standard planning activities. The methodology involves analyzing 11 specific transportation planning products, including Transportation Improvement Programs, Intelligent Transportation System Architecture Plans, Long-Range Metropolitan Transportation Plans, and Freight Plans. The authors categorized the analysis into four key elements: planning products, planning steps and processes, expected C/AV impacts, and potential C/AV applications. The report defines C/AV technology, distinguishing between connected vehicles, which rely on wireless communications (V2V, V2I, V2X) via DSRC, cellular, or Wi-Fi, and automated vehicles, which use onboard sensors for control functions. It outlines four main benefit categories: safety, mobility, environment, and data. The analysis maps these elements across 12 common planning steps, such as establishing goals, assessing current conditions, and developing performance measures. Key findings indicate that C/AV technology will significantly alter data collection, asset management, and safety planning. For instance, C/AV enables real-time data collection on traffic and infrastructure conditions, improving Transportation Asset Management Plans and Strategic Highway Safety Plans. The report notes that while C/AV may reduce certain crash types, it also introduces new funding requirements and cost-benefit assessment challenges for financial plans. Freight planning is identified as an area for early adoption due to potential efficiency and economic benefits. The document provides reference tables that cross-reference specific C/AV impacts with relevant planning products and steps, allowing planners to identify where interventions are most likely needed. The significance of this work lies in providing a structured framework for incorporating emerging technologies into long-range and short-term transportation planning. By linking specific C/AV applications to standard planning steps, the desk reference enables agencies to proactively address workforce needs, training, and infrastructure requirements. It emphasizes that while fully automated systems may be decades away, partially automated solutions and connected vehicle applications are imminent, necessitating immediate consideration in planning products like bicycle-pedestrian plans and public involvement strategies.

Key finding

The document provides a structured framework mapping the impacts of connected and automated vehicles across eleven specific transportation planning products and twelve common planning steps.

Methodology

review

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).

StageOutcomeToolModelPromptAttemptsCompleted
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 24 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.