Travel time on arterials and rural highways : state-of-the-practice synthesis on rural data collection technology.

Singer, Jeremiah P.; Atkinson, Jennifer; Myers, Matthew; Robinson, A. Emmanuel; Krueger, Jessica · 2013 · ROSA P / United States. Federal Highway Administration

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 report, sponsored by the Federal Highway Administration (FHWA), addresses the challenge of collecting and disseminating real-time travel time data on rural highways. While travel time information is standard on urban freeways, its application to rural roads is limited due to unique environmental and operational constraints. These include low traffic volumes that hinder statistical accuracy, difficult terrain unsuitable for infrastructure deployment, lack of parallel alternate routes, and insufficient technological backbones for data transmission. The study aims to synthesize current and emerging technologies for rural travel time (RTT) data collection, evaluate their feasibility, and provide practitioners with guidance on implementation best practices. The methodology involved a systematic review of available and emerging RTT data sources, analyzing their advantages, limitations, and implementation considerations. The report examines ten specific technologies: Bluetooth detection, toll tag readers, in-pavement magnetic detectors, automatic license plate readers (ALPR), machine vision, connected vehicles, radar/microwave/LIDAR, inductive loops, crowdsourcing, and cell phone signal monitoring. To ground the technical review in practical experience, the authors analyzed several real-world implementations, including projects in Wisconsin, Texas, Oregon, Florida, and Washington. Two case studies were examined in detail: the Minnesota Department of Transportation’s temporary travel time system on I-35 and the Maine Department of Transportation’s use of variable speed limit signs for traveler information. The findings characterize the maturity, cost, privacy implications, and detection capabilities of each technology. For instance, Bluetooth detection and in-pavement magnetic detectors are highlighted as flexible, lower-cost options with high detection rates, though Bluetooth relies on driver device usage. Mature technologies like ALPR and inductive loops offer high accuracy but face privacy concerns or invasive installation costs. Emerging technologies like connected vehicles and crowdsourcing show potential but require critical mass or further development. The case studies revealed that successful implementations depend on clear objectives, such as using current rather than historical data for estimations in Minnesota, and leveraging cost-effective solutions like variable speed signs in Maine. The significance of this work lies in its provision of a structured framework for agencies considering RTT deployment. The report concludes that while RTT data collection is rapidly evolving, success is determined not by the specific technology chosen, but by rigorous planning and execution. It emphasizes that practitioners must ask critical questions regarding needs assessment, technology selection, and management throughout the project lifecycle. By synthesizing state-of-the-practice experiences, the report offers actionable best practices to help transportation agencies overcome rural-specific challenges and effectively provide real-time travel information to motorists.

Key finding

Rural travel time data collection can be successfully implemented when projects are properly planned with clear objectives and detailed execution plans, regardless of the specific technology chosen.

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).

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.

• exposure measurement

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: observational prevalence
• Methodological Resource: dataset resource