safety

This project aims to know how the Intelligent Vehicle Technologies (IVT) can improve Vulnerable Road Users’ (VRU) safety in different environments and conditions (e.g., sight distance and traffic flow) at signalized intersections.

This data includes California Office of Traffic Safety rankings and historical crash data needed for macroscopic statistical modeling.

This paper presents a methodology for assessing bicycle first-last mile trips from one area to many possible areas using three visualizations on accessibility, travel times, and transit mode(s) utilized.

This policy brief summarizes findings from research on perceived comfort of bicycling in different road environments in order to provide guidance for communities aiming to increase bicycling.

Researchers at the Georgia Institute of Technology created a semi-automated process for developing an all-streets network to be used in TDM applications to more accurately model bicycle travel.

Planners lack the tools to effectively measure where bicycle infrastructure improvements will yield the best outcomes. New research from Georgia Tech addresses this problem by developing two new modeling tools, BikewaySim and TransitSim, to assess how bicycle infrastructure can affect cycling and public transit access.

The objective of this project is to develop an analytical tool and an associated network that includes all possible bicycle paths (i.e., roads, bicycle paths, cut-through paths, etc.) for a 12 square mile study area in the City of Atlanta that can be expanded later to the Atlanta Metro area.