Research Report

This report investigates how local governments (cities and counties) are implementing California’s Senate Bill 743, adopted in 2013 to eliminate traffic delay, measured using level-of-service (LOS) standards, as a basis for analyzing and mitigating transportation-related impacts of development projects and plans as called for under the California Environmental Quality Act (CEQA).

“Complete streets” is a design concept for primarily urban streets and intersections (existing and/or new) intended to encourage active transportation by bicyclists and pedestrians by making streets safer, convenient, and attractive for active transportation. This project seeks to provide insight into specific and different potential benefits of a given complete streets project.

In this project, the authors developed a centrally coordinated shuttle scheduling and routing management system for mixed fleets of diesel and electric shuttles using a digital twin of LAX to LA downtown traffic road network by optimizing the total combined cost of energy consumption and travel time.

This project aimed at understanding how fundamental changes from SB 375 and other legislative mandates have impacted metropolitan planning agencies from a workforce standpoint.

This report is one of two NCST Research Reports produced as part of a project to evaluate the state of practice and adequacy of technical tools for resiliency and adaptation planning.

In this study, the authors evaluate the hygroscopicity and droplet kinetics of fresh and aged emissions from new generation gasoline direct injector engines retrofitted with a gasoline particulate filter.

This research assessed the changes in Metropolitan Atlanta Rapid Transit Authority (MARTA) service configurations by reviewing the pre-pandemic vs. during-pandemic General Transit Feed Specification (GTFS) files.

This study proposes a mathematical model that solves the empty container problem using double and single container trucks.

n this work, the authors developed a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today’s demand.

With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been proposed in the past, ranging from roadway extension to transportation demand management programs. In particular, congestion pricing schemes have been used as negative reinforcements for traffic control. This project studies a different approach of offering positive incentives to drivers to take alternative routes.