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

This paper introduces big datasets, concepts, knowledge, and methods used in traditional transportation planning as well as modern data science.

This report reviews recent advances in harnessing big data to understand travel behavior and inform travel demand models. Analyzes the existing data-mining methods that enable these collected mobility traces to inform transport demand models.

This document provides practical guidance and a handy Reference Manual to assist state DOTs in moving forward to meet the new Highway Performance Monitoring System (HPMS) requirements for the submittal of complete, all roads inventories and linear-referenced networks for every state and territory. This requirement is known as ARNOLD – the All Road Network of Linear Referenced Data.

Maricopa County Department of Transportation (MCDOT) is a regional agency responsible for maintaining roadways within the Phoenix metropolitan area in cooperation with the Arizona Department of Transportation (ADOT). Both agencies share responsibility for maintaining a regionally integrated traffic data-sharing entity, called AZTech, which serves as the central data-sharing system across the region’s traffic and emergency management agencies.

Iowa Department of Transportation (IDOT) implemented its WZDx data feed through a data integration project that extracts and transforms data from existing systems and then republishes that data using the WZDx specification.

The WZDx GitHub website provides the following:

FWHA developed this framework to assist transportation agencies and the work zone stakeholder community in establishing a standardized approach for digitally describing work zones and for communicating WZED with contractors, neighbor agencies, third-party data consumers, and other key stakeholders.

This guidebook for state DOTs contains over 100 recommendations for managing data from emerging technologies, such as crowdsourcing, in a modern way. It also contains a roadmap for implementing the guidance, as well as several tools including a modern data management capability maturity self-assessment. This guidebook is a good resource for agencies grappling with how to manage new, large datasets, including crowdsource data.

FHWA’s Every Day Counts Round 5 (EDC-5), and now EDC-6, Crowdsourcing for Operations innovation is the best source of information on the current state of practice in the use of crowdsourced data by transportation agencies.