trucks | National Center for Sustainable Transportation

The Current and Future Performance and Costs of Battery Electric Trucks

Principal Investigator Lewis Fulton, Ph.D.
University of California, Davis

This white paper will review the key literature and estimates, attempt to understand the reason for differences and resolve these, undertake sensitivity analysis and a “final” robust analysis with conclusions about the best applications of BETs and where they may be very challenged to replace diesels.

Project Status

Complete

A Truck Routing Model to Reduce Fuel Consumption and Emissions while Accounting for Parking Availability and Working Hours Constraints

Research Product Type

Research Brief

Researchers at the University of Southern California developed a truck routing model that minimizes fuel consumption and reduces emissions while explicitly accounting for parking availability and hours-of-service constraints. The researchers used the model to test various scenarios that reflect the practical constraints faced by drivers.

Balancing of Truck Parking Demand by a Centralized Incentives/Pricing System

Principal Investigator Petros Ioannou, Ph.D.
University of Southern California

The main objective of this project is to develop a centralized truck parking system that will balance parking utilization in time and space by using full information about supply and demand.

Project Status

Complete

Balancing of Truck Parking Demand by a Centralized Incentives/Pricing System

Research Product Type

Research Report

In this project, the researchers consider the issue of coordinating the parking decisions of a large number of long-haul trucks. More specifically, how to model the behavior of a region’s driver population and how it could be influenced.

Caltrans Planning Horizons Forum: Transitioning to Low-Carbon Emission Trucks

This presentation provided an overview of findings from a white paper from the National Center for Sustainable Transportation that examines the feasibility of achieving the target of an 80% reduction in CO2 emissions by 2050 from freight transport systems, with a focus on U.S. trucking.

Apr 29, 2015 @ 10:00am - 11:30am
Caltrans Boardroom, 1120 N Street, Sacramento, CA
Event Details

Can Deep Cuts in GHG Emissions from Trucks be Achieved by 2050?

Research Product Type

Policy Brief

This policy brief summarizes research that suggests that the combination of significantly improved vehicle efficiency coupled with very low-carbon fuels can help the trucking sector reach greenhouse gas targets.

Dataset: Spatial scenarios for market penetration of plug-in battery electric trucks in the United States

Research Product Type

Data

To understand potential pathways to GHG reductions, this project developed the U.S. Transportation Transitions Model (US TTM) to study various scenarios of zero-emission vehicle (ZEV) market penetration in the U.S.

Eco-Driving to Reduce Emissions (Behavioral focus)-Trucks

Principal Investigator Kanok Boriboonsomsin, Ph.D.
University of California, Riverside

This white paper examines truck eco-driving programs from Europe, Asia, and North America. It discusses challenges and solutions for implementing educational eco-driving programs.

Project Status

Complete

Eco-Friendly Intelligent Transportation System Technology for Freight Vehicles

Principal Investigator Petros Ioannou, Ph.D.
University of Southern California

This project examines intelligent traffic control strategies, which will have positive impact on the environment by reducing fuel consumption and pollution levels in areas where the truck volume is relatively high.

Project Status

Complete

Electric Truck Fleet Management Under Limited and Uncertain Charging Infrastructure Availability

Principal Investigator Petros Ioannou, Ph.D.
University of Southern California

This project will address the issues of freight decarbonization and supply chain resiliency by designing electric truck fleet management strategies that consider limited charging availability for electric vehicles, respond to electricity grid uncertainties, and analyze the constraints of long-haul and short-haul operations with electric trucks.

Project Status

In Progress