Intelligent Transportation Systems

Vehicle Technologies for Achieving Near and Longer Term Fuel Economy and Climate Goals

Tim Lipman
2020
Motor vehicles are a key element of transport systems worldwide, providing vitally important access to goods and services. However, motor vehicles powered by internal combustion engines directly emit harmful pollutants and climate-changing gases. New fuels and new automotive technologies offer the potential to simultaneously make motor vehicles much cleaner and more efficient by reducing tailpipe emissions and allowing the focus to be on the “upstream” emissions from fuels production. This can be accomplished through an increasing array of hybrid electric and pure electric...

Analysis of The Combined Vehicle-and Post‐Vehicle-Use Value of Lithium‐Ion Plug-In-Vehicle Propulsion Batteries

Brett Williams
Tim Lipman
2011

Advances in electric-drive technology, including lithium-ion batteries, as well as the development of strong policy drivers such as California’s Global Warming Solutions Act, now contribute to a more promising market environment for the widespread introduction of plug-in vehicles in California. Nevertheless, battery costs remain high and uncertain, presenting significant hurdles to commercialization. This report builds upon previous research (CEC-500-2009-091) investigating the potential reduction in plug-in-hybrid battery lease payments that incorporation of value from postvehicle...

The CO2 Abatement Potential of California's Mid-Sized Commericial Buildings

Michael Stadler
Chris Marnay
Gonçalo Cardoso
Tim Lipman
Olivier Mégel
Srirupa Ganguly
Afzal Siddiqui
Judy Lai
2009

The Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) is working with the California Energy Commission (CEC) to determine the potential role of commercial sector distributed generation (DG) with combined heat and power (CHP) capability deployment in greenhouse gas emissions (GHG) reductions. CHP applications at large industrial sites are well known, and a large share of their potential has already been harvested. In contrast, relatively little attention has been paid to the potential of medium-sized commercial buildings, i.e. ones with peak electric loads ranging from 100 kW to 5...

SMART Mobility. Advanced Fueling Infrastructure Capstone Report

John Smart
Zicheng Bi
Alicia Birky
Brennan Borlaug
Erin Burrell
Eleftheria Koutou
Dong-Yeon Lee
Tim Lipman
Andrew Meintz
Eric Miller
Ahmed Mohamed
Matthew Moniot
Amy Moore
Yutaka Motoaki
Zachary Needell
Omer Onar
Clement Rames
Nicholas Reincke
Mohammad Roni
Shawn Salisbury
Colin Sheppard
Danho Ange Lionel Toba
Victor Walker
Dustin Weigl
Eric Wood
Fei Xie
Yonggen Yi
Teng Zeng
Hongcai Zhang
Yan Zhou
Zhi Zhou
2020

The U.S. Department of Energy’s Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium is a multiyear, multi-laboratory collaborative, managed by the Energy Efficient Mobility Systems Program of the Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office, dedicated to further understanding the energy implications and opportunities of advanced mobility technologies and services. The first three-year research phase of SMART Mobility occurred from 2017 through 2019 and included five research pillars: Connected and Automated Vehicles,...

Reducing Greenhouse Emissions and Fuel Consumption: Sustainable Approaches for Surface Transportation

Susan Shaheen
Tim Lipman
2007

Climate change is rapidly becoming known as a tangible issue that must be addressed to avoid major environmental consequences in the future. Recent change in public opinion has been caused by the physical signs of climate change–melting glaciers, rising sea levels, more severe storm and drought events, and hotter average global temperatures annually. Transportation is a major contributor of carbon dioxide (CO2) and other greenhouse gas emissions from human activity, accounting for approximately 14 percent of total anthropogenic emissions globally and about 27 percent in the U.S....

DeepTimeGeo: Trajectory Reconstruction From Sparse Data With Transformer

Cao, Shangqing
Wu, Jiaman
Kasliwal, Aparimit
Chen, Baoqi
Perona, Giuseppe
Marta Gonzalez
2026

The completion of sparse Location-Based Service (LBS) data for modeling urban-scale origin-destination (OD) flow is of great importance to transportation planning applications. Sparse trajectories lack realistic human mobility patterns. Only with completed trajectories one can derive urban-scale OD flow that resembles complete travel diaries as those gathered by surveys or actively collecting phone applications. We present DeepTimeGeo (DTG), a transformer encoder-only model that reconstructs complete trajectories from sparse LBS inputs. We adopt a rank-based representation of locations to...

Learning to Recommend in Unknown Games

Alanqary, Arwa
Baba, Zakaria
Wu, Manxi
Alexandre Bayen
2026

We study preference learning through recommendations in multi-agent game settings, where a moderator repeatedly interacts with agents whose utility functions are unknown. In each round, the moderator issues action recommendations and observes whether agents follow or deviate from them. We consider two canonical behavioral feedback models-best response and quantal response-and study how the information revealed by each model affects the learnability of agents' utilities. We show that under quantal-response feedback the game is learnable, up to a positive affine equivalence class, with...

Opportunities for Integrating Hydrogen-Powered Vehicles and Intelligent Transportation Systems

Tim Lipman
2026

This paper presents the findings of an “Integrated Hydrogen/Intelligent Transportation Systems Evaluation for the California Department of Transportation” project that was conducted by the University of California – Berkeley. The project reviewed state hydrogen activities suggested potential applications of combined hydrogen and intelligent transportation system (ITS) technologies that warrant further study and field-testing. The main concept underlying this study is the potential for synergies between two rapidly evolving areas of advanced transportation and energy technology: hydrogen...

Evaluation of Alternative AHS System Operating Concepts

Carlos Daganzo
Cayford, Randall
Lin, Wei-Hua
1995

This paper focuses on technical and economic investigations of automated highway systems (AHS). It attempts to show that the actual viable implementation opportunities for AHS are scarce. The paper begins with an investigation that looks at realistic estimates of AHS capacity, interfacing with the local street system, and storage issues. The authors then identify criteria to help in determining which types of urban areas might be potential candidates for AHS technologies. Certain locations where AHS might be beneficial are identified, but doubt is raised regarding the extent of the...

Technical and Economic Viability of Automated Highway Systems: Preliminary Analysis

del Castillo, Jose M.
Lovell, David J.
Carlos Daganzo
1997

Technical and economic investigations of automated highway systems (AHS) are addressed. It has generally been accepted that such systems show potential to alleviate urban traffic congestion, so most of the AHS research has been focused instead on technical design and implementation issues. It is demonstrated that, despite making a number of assumptions that are favorable to AHS, the actual viable implementation opportunities for AHS are scarce, and that most existing congested urban areas can be disqualified on the basis of at least one criterion developed herein. Technical investigations...