The objective of this project is to build-on past research to explicitly model and evaluate the integrated system of last-mile strategies utilized to keep pace with the growing demands of e-commerce.
In this project, the researcher aims to create an agent-based cooperative vehicle-infrastructure system (CVIS) framework, and develop modeling and control approaches in a connected and automat
This project develops a Markov Decision Process (MDP) based approach to account for uncertain traffic conditions while developing eco-driving technology.
This project will address the dispatching problem of a generalized battery-electric truck fleet, in the form of an (electric) vehicle routing problem with pick-up and delivery windows.
Researchers will equip the City of Riverside's Innovation Corridor with roadside communications equipment and advanced traffic signal controllers at several key intersections, to help improve safety, mobility and environmental sustainability.
Principal InvestigatorAnastasios Chassiakos, Ph.D.
California State University Long Beach
This work studies the optimization of scheduling of chassis and container movements at the operational level for individual trucking companies when Chassis Processing Facilities (CPFs) are available for use in the vicinity of a container port within a major metropolitan area.
