A systematic review of 47 contemporary research papers related to the use of novel data sources in public transportation planning. There is particular focus on assessing the usability, strengths, and weaknesses of different emerging big data sources.
The FHWA Every Day Counts Round 4 (EDC-4) Using Data to Improve TIM innovation continued the TIM data efforts with the objectives of increasing the quantity, quality, and use of data for TIM performance measurement and analysis.
In 2014, TxDOT sponsored a study to integrate data from multiple sources to optimize freight transportation planning efforts in the state. The study team sought to establish data-sharing partnerships from private stakeholders and relay the lessons learned. In addition, the team developed a prototype freight data architecture with supporting descriptions and specifications.
This report provides an executive level synopsis of the United States Department of Transportation (USDOT) ICM demonstration project (specifically) and program in general, including an explanation of the ICM concept and program structure, key accomplishments and findings, future needs, and the outlook for national deployment.
This report describes requirements, technical issues, technologies, and practices that will be necessary to collect, process, store, use and share large volumes of messages from road side equipment (RSE) to the traffic management centers (TMCs). These recommendations could find their way into data sharing standards for connected and automated vehicles (CAV) that could better define practices.
The purpose of this report is to 1) Identify how big data tools and technologies can be used in traffic management systems or TMCs; 2) Develop potential use cases for integrating big data technology and tools into traffic management systems or TMCs; 3) Assess how connected vehicle and traveler related data could be used to enhance the operation of traffic management systems or TMCs; 4) Analyze how the sharing of data with other TMCs, systems, connected vehicles and travelers; and agency business proce
This report provides agencies responsible for Transportation Systems Management and Operations (TSM&O) with an introduction to successful Big Data tools and technologies that can be used to aggregate, store, and analyze new forms of traveler-related data that may be useful for operations.
This paper synthesizes noteworthy practices (e.g. data access and sharing, integrating shared mobility into modeling and forecasting, etc.), identifies challenges and opportunities, and provides recommendations for future research needed.
A follow-up report to Integrating Shared Mobility into Multimodal Transportation Planning: Improving Regional Performance to Meet Public Goals provides three in-depth case studies of how MPOs and their partners are interacting with shared mobility companies to integrate these new options into regional multimodal transportation networks, improving system performance and supporting regional goals.
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.