Shared Mobility Data Sharing: Opportunities for Public-Private Partnerships is a 29-page report written for TransLink, the Vancouver, Canada area’s transportation authority to help the agency plan a path forward with respect to developing a data sharing policy and data sharing agreement.

The SHRP2 program sponsored a number of studies relating to Freight Demand Modeling and Local Freight Data Improvement. The program included an analysis of the current state of practice for f

Proposed in 2003, this framework intends to guide the development of a national freight database, related data collection, and synthesis activities. This conceptual framework focused on increasing the linkages between different sources of data and fulfilling the major needs of a wide variety of users by capturing the important characteristics of freight movements (shipment

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 Global City Teams Challenge from the National Institute of Standards and Technology (NIST) developed The Municipal IoT Blueprint.

One of the initial efforts by a state DOTs in developing an online environment to integrate, visualize, and disseminate freight data. OFDM’s system architecture involved overlaying truck volume data, GPS data, truck generator data, amongst other datasets on a Google Maps GIS layer.

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

This white paper describes smart/connected cities and outlines their potential for interfacing with the emerging connected transportation environment.

In 2019, the California Department of Transportation (Caltrans) conducted a study to investigate the tools and data needed to support the development of a standardized system to gather all TIM data and report on the three national TIM performance measures statewide.

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.