This report was published in 2011 and followed upon the work presented in NCFRP Report 9.
This report explored innovative approaches to obtaining and making comprehensive truck activity data publicly available. The study identified a number of challenges with using truck activity data, including users integrating data from multiple sources to answer critical policy questions, lack of temporal coverage, excluded commodity types in the national surveys, and the level of investment required to use and visualize the data.
This report presents the efforts to develop a freight data dictionary (FDD) for organizing the multiple freight data elements that are commonly used.
The objective of this ongoing TRB project is to demonstrate the feasibility and practical value of big data approaches. The goal is to improve TIM via real-world application of the Research Report 904 guidelines with selected states and TIM use cases.
This NCHRP report identified over 70 CAV projects across the Untied States. In a survey of a subset of these projects, responses were rather incomplete on topics including data management, data openness, data sensitivity, and data retention. Interviews were conducted with 11 state and local transportation agencies and a stakeholder workshop was conducted with 15 state and local agencies.
Examines a proposed common framework for exchange of transportation data in eXtensible Markup Language, known as TransXML. The framework is designed to be used for developing, validating, disseminating, and extending current and future schemas.
This paper presents guidelines for transportation planners and travel modelers on how to (1) evaluate the extent to which cell phone location data and associated products accurately depict travel, (2) identify whether and how these extensive data resources can be used to improve understanding of travel characteristics and the ability to model travel patterns and behavior more effectively, and (3) support practitioners’ evaluation of the strengths and weak
NCHRP Research Report 904 provides guidelines for states on leveraging a big data approach, including collecting and storing more (and raw) data, opening and sharing data, breaking down data silos via a common data storage environment, and maintaining data accessibility, amongst others.
Objective-Driven Data Sharing for Transit Agencies in Mobility Partnerships is a 25-page white paper intended to support the decision-making of transit agencies that are considering implementing a Mobility on Demand (MOD) or similar integration with private mobility service providers, with a focus on data exchange requirements.
There are a multitude of freight databases, both public and private, that do not conform to any uniform standard or ontology. This makes the creation of one single authoritative ontology challenging, as the individual data sources do not and will not share a common vocabulary.