Want to respond to crashes quicker? AI could help

State transportation agencies are cautiously dipping their toes into the waters of “artificial intelligence” and “machine learning” to find applications in the transportation field. There are many potential uses, according to a new report, including opportunities to track assets like crosswalks, and to clear traffic incidents faster, which could lessen the need for major capacity investments. Agencies have also identified some lessons and pitfalls of the technology as they pilot new tools.

NCHRP report shows high variation, but general decline, in VMT forecasts

A new tool, called Impacts 2050, provides important insight into the uncertainty associated with conventional travel demand forecasts by allowing users to model different future scenarios while taking socio-demographic trends into account. In a report for the National Highway Research Program, the tool’s developers describe the outcomes for a wide range of possible scenarios and suggest that demand for automobile travel will likely stay at its current level or drop markedly in the coming decades.

SSTI releases economic analysis guide and tool for transportation agencies

Demand for more accountability in the use of scarce transportation funds is pushing DOTs toward new performance measures, both to evaluate systems as whole as well as proposed projects. One key area for such analysis is economic impact, but until now agencies had no accepted toolbox – nor often the needed data or expertise – for such work. A new guide developed for SSTI by the Center for Neighborhood Technology is designed to assist DOTs as they improve their capacity for economic analysis.

Every Day Counts

One of the themes for the SSTI Community of Practice meeting in Seattle will be streamlining transportation projects.  FHWA has a website called “Every Day Counts,” which is “designed to identify and deploy innovation aimed …