congestion

In this dissertation, advanced eco-trajectory planning algorithms have been developed to address four challenges.

This brief discusses studies highlighting the institutional challenges the Port of Los Angeles and Port of Long Beach face while working with a multitude of stakeholders and regulatory bodies to address both environmental sustainability and economic competitiveness. 

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 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.