Learn how the evolution of crossing treatments, guidance, and travel behavior is critical to addressing quality of life challenges and meeting expectations for those who walk.
Plan+ analyzes traffic and parking parameters for a development site, testing a variety of land use scenarios to find the scenario that achieves greatest transportation efficiency.
Learn what 27 leading transportation experts predicted we’re likely see in the world of autonomous vehicle travel in 2050.
Explore Safety Efficacy Confidence Levels for Pedestrian & Bicycle Treatments included in the NACTO Urban Bikeway Design Guide and the Urban Street Design Guide.
Will AVs increase vehicular capacity and reduce delays on freeways? We conducted research to test this hypothesis using traffic simulation models with varying levels of congestion and AV fleets.
VTOL craft are likely to face regulatory and technological hurdles before moving from early testing to widespread use. Read on to explore the potential benefits and limitations.
Transportation Network Companies (TNCs)
Part of the magic of transportation network companies like Uber ...
Learn how we need to adapt policy and design to accommodate the changing transportation landscape.
Discover how to estimate a project’s VMT and GHG emissions using VMT+ designed to answer questions for both land use and infrastructure development projects.
Our Multimodal Level of Service (MMLOS) Toolkit provides qualitative measures to address client goals, as well as issues ignored in traditional vehicle LOS analysis.
MainStreet translates our ASAP tools to a web application with intuitive visualizations of outputs and provides a clear understanding of analysis.
PersonDelay+ builds upon previous MMLOS methodologies by increasing transparency in the analysis and better informing decision makers and stakeholders of trade-offs.
LOS+ is a quick-response/sketch-planning tool that provides guidance in designing urban streets to better accommodate the four major travel modes.
Ridership+ enhances system-level perspectives of regional travel models with a focus on station-level planning and design strategies, to integrate transit into the community.
MXD+ utilizes research that identifies key relationships between modes of travel and the built environment to more accurately predict vehicle trip generation from MXDs.