With the proliferation of automatic vehicle location, automatic passenger counters, and automatic fare collection, transit agencies are collecting increasingly granular data on service performance, ridership, customer behavior, and financial recovery.
The TRB Transit Cooperative Research Program's pre-publication draft of TCRP Research Report 235: Improving Access and Management of Public Transit ITS Data proposes a data structure for storing data from bus and rail intelligent transportation systems (ITS).
Supplemental to the report are an Overview Presentation, a “How To” Presentation, and an Executive 2-pager on the benefits of the proposed data structure.
National Academies of Sciences, Engineering, and Medicine. 2022. Improving Access and Management of Public Transit ITS Data. Washington, DC: The National Academies Press. https://doi.org/10.17226/26674.
|2. Research Findings, Objectives, and Approach||11-15|
|4. Data Structure||20-40|
|5. Tool Requirements||41-49|
|6. Best Practices||50-56|
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