TCIP is an extensible and modular standard allowing for data exchange between transit business systems, subsystems, components, and devices. It covers C2C, agency-to-public, agency-to-infrastructure, and system-to-system communications. The benefits extend beyond vehicles, operations, and passenger information to business systems and subsystems noted above.
SIRI is an extensible and modular standard allowing for C2C communications, agency-to-public communications, and agency-to-infrastructure communications. SIRI allows for the structured exchange of real-time information about schedules, vehicles, and connections with general informational messages related to the operation of the services. SIRI defines functional services including:
Three prominent data standards have been developed in the transit industry:
The objective of the ongoing TCRP G-18 Improving Access and Management of Transit ITS Data project is to develop a common, practical approach to storing, accessing, and managing fixed-route transit ITS data (i.e., AVL, APC, AFC) by further dev
The Transit ITS Data Exchange Specification (TIDES) is a conceptual framework for accessing and managing transit agency ITS data. TIDES includes a set of common data APIs that provide access to the different aspects of ITS data (e.g., raw data from vendor systems, secondary data sources that integrate and aggregate the ITS data).
Examines the potential to improve strategic models through the consideration of new mobility and the implications of new technology, improved data accuracy and consistency, and new and emerging datasets.
This presentation recommends the development of a regional transportation big data strategy: creating a regional transportation big data portal, providing consistent and transparent data collection, management, and reporting. Additionally discusses establishing regional standards for transportation data sourcing, formatting, privacy, security, ownership and reporting.
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.
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.
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.
