working paper

The Smog-Reduction Road: Remote Sensing versus The Clean Air Act

Publication Date

February 1, 1996

Associated Project

Author(s)

Daniel B. Klein, Pia Koskenoja

Working Paper

UCI-ITS-WP-95-3, UCTC 301

Areas of Expertise

Abstract

The 1990 amendments to the Clean Air Act mandated that local governments that violate federal ozone (urban smog) standards abide by a dizzying array of regulations, many of the most controversial of which–centralized state inspection and maintenance programs, carpooling requirements, zero- emission vehicle sales quotas, use of alternative fuels, and new-vehicle emission standards–are intended to control automobile emissions.

Suggested Citation
Daniel B. Klein and Pia Maria Koskenoja (1996) The Smog-Reduction Road: Remote Sensing versus The Clean Air Act. Working Paper UCI-ITS-WP-95-3, UCTC 301. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/27q51155.

Published Journal Article: Handbook of econometrics, vol 1 – Griliches,Z, Intriligator,Md

working paper

Multiple Imputations for Linear Regression Models

Publication Date

November 1, 1991

Associated Project

Author(s)

Working Paper

UCI-ITS-WP-91-11, UCTC 37

Areas of Expertise

Abstract

Rubin (1987) has proposed multiple imputations as a general method for estimation ion the presence of missing data. Rubin’s results only strictly apply to Bayesian models, but Schenker and Welsh (1988) directly prove the consistency of multiple imputations inferences when there are missing values of the dependent variable in linear regression models. This paper extends and modifies Schenker and Welsh’s theorems to give conditions where multiple imputations yield consistent inferences for both ignorable and nonignorable missing data in exogenous variables. One key condition is that the imputed values must have the same conditional first and second moments as the true values. Monte Carlo studies show that the multiple imputation covariance estimates are accurate for realistic sample sizes. They also support the applications of multiple imputations in Brownstone and Valletta (1991), where the multiple imputations estimates substantially changed the qualitative conclusions implied by the model.

Suggested Citation
David Brownstone (1991) Multiple Imputations for Linear Regression Models. Working Paper UCI-ITS-WP-91-11, UCTC 37. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/5rv0265r.

published journal article

Health and equity impacts from electrifying drayage trucks

Transportation Research Part D: Transport and Environment

Abstract

Diesel heavy-duty drayage trucks (HDDTs) serving the Ports of Los Angeles and Long Beach in Southern California are large contributors to regional air pollution, but cost remains an obstacle to replacing them with zero-emission HDDTs. To quantify the health and equity impacts of operating diesel HDDTs, we built a microscopic simulation model of a regional freeway network and quantified their emissions of PM2.5 (particulate matter with a diameter < 2.5 μm) and CO2 in 2012 and 2035, before estimating their contribution to selected health outcomes. We found that 483 premature deaths ($5.59 billion) and 15,468 asthma attacks could be attributed to HDDTs in 2012. Regulations and technological advances could shrink these impacts to 106 premature deaths ($1.31 billion) and 2,142 asthma attacks in 2035 (over 2/3 accruing to disadvantaged communities) despite population growth and a 145 % jump in drayage traffic, but they still justify replacing diesel HDDTs with zero-emission HDDTs by 2035.

Suggested Citation
Monica Ramirez-Ibarra and Jean-Daniel M. Saphores (2023) “Health and equity impacts from electrifying drayage trucks”, Transportation Research Part D: Transport and Environment, 116, p. 103616. Available at: 10.1016/j.trd.2023.103616.

conference paper

Better distinction of vehicle types through the correction of acceleration-distorted inductive signatures in arterial traffic

Proceedings 2nd international symposium on freeway and tollway operations, honolulu

Publication Date

January 1, 2009

Author(s)

Y. Tok, Stephen Ritchie
Suggested Citation
Y. Tok and S.G. Ritchie (2009) “Better distinction of vehicle types through the correction of acceleration-distorted inductive signatures in arterial traffic”, in Proceedings 2nd international symposium on freeway and tollway operations, honolulu.

published journal article

Side channels of cyber-physical systems: Case study in additive manufacturing

IEEE Design & Test

Publication Date

August 1, 2017

Author(s)

Sujit Rokka Chhetri, Mohammad Al Faruque
Suggested Citation
Sujit Rokka Chhetri and Mohammad Abdullah Al Faruque (2017) “Side channels of cyber-physical systems: Case study in additive manufacturing”, IEEE Design & Test, 34(4), pp. 18–25. Available at: 10.1109/mdat.2017.2682225.

book/book chapter

Hall Sensor Security, The

Publication Date

January 1, 2025

Author(s)

Anomadarshi Barua, Mohammad Al Faruque

Abstract

‘Hall Sensor Security, The’ published in ‘Encyclopedia of Cryptography, Security and Privacy’

Suggested Citation
Anomadarshi Barua and Mohammad Abdullah Al Faruque (2025) “Hall Sensor Security, The”, in Encyclopedia of Cryptography, Security and Privacy. Springer, Cham, pp. 1051–1055. Available at: https://link.springer.com/rwe/10.1007/978-3-030-71522-9_1652 (Accessed: August 21, 2025).

conference paper

Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Publication Date

October 1, 2023

Author(s)

Abstract

Localization in high-level Autonomous Driving (AD) systems is highly security critical. Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based localization is vulnerable to GPS spoofing, which can cause road hazards such as driving off road or onto the wrong way. In this work, we perform the first exploration of using Lane Detection (LD) to detect and correct deviations caused by such attacks and design a novel LD-based system-level defense, LD3. We evaluate LD3 on real-world sensor traces and find that it can achieve effective and timely detection against the state-of-the-art attack with 100% true positive rates and 0% false positive rates. Results show that LD3 can be highly effective at steering the AD vehicle to safely stop within the current traffic lane. We implement LD3 on 2 open-source AD systems and validate its end-to-end defense capability using an industry-grade AD simulator and also in the physical world with a real vehicle-sized AD R&D vehicle.

Suggested Citation
Junjie Shen, Yunpeng Luo, Ziwen Wan and Qi Alfred Chen (2023) “Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection”, in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9707–9713. Available at: 10.1109/IROS55552.2023.10342017.

Phd Dissertation

Alternative Light- and Heavy-Duty Vehicle Fuel Pathway and Powertrain Optimization

Publication Date

September 30, 2019

Author(s)

Abstract

An increasing number of alternative vehicle fuel and powertrain options are evolving for both light-duty vehicles (LDVs) and heavy-duty vehicles (HDVs) to combat climate change and degraded air quality. Electricity, hydrogen, substitute natural gas, renewable gasoline, and renewable diesel are examples of alternative fuels, while internal combustion engines, fuel cell engines, plug-in battery engines, hybrids, plug-in hybrids, and electrical drivetrains are examples of components comprising powertrains. With such a diverse set of options for LDVs and HDVs, a systematic evaluation of the options that meet environmental goals at a minimum cost is required. Using linear programming with fuel pathway and vehicle costs, emission constraints, realistic growth scenarios for travel and technology, and fuel feedstock availability, a methodology is developed (“Transportation Rollout Affecting Cost and Emissions, TRACE”) to assess combinations of fuel and vehicle pathways. Each pathway has an associated efficiency, cost, and emission of greenhouse gases (GHGs) and criteria air pollutants (CAPs). Techno-economic data from the literature and Wright’s Law project the cost of infrastructure to produce, distribute, and dispense fuel, and to produce vehicles through 2050. The results from a Reference Case, comprised of business-as-usual fossil fuel and internal combustion vehicles (ICVs), projects costs of $1.43 trillion. For current LDV regulations in California, the optimization suggests adoption of ICVs fueled by renewable gasoline in the early years with many plug-in hybrid electric vehicles, a large population of zero-emission battery electric vehicles starting in 2030, and significant plug-in fuel cell electric vehicle (PFCEV) adoption in 2050. For all modeled HDV vocations (linehaul, drayage, refuse, and construction), TRACE projects ICVs fueled by renewable diesel until 2045, after which hybrids and PFCEVs are adopted for all vocations except refuse. This LDV and HDV rollout is projected to cost $1.28 trillion by 2050, 10% less than the Reference Case. Significant factors affecting results include battery costs, change in vehicle miles traveled, and zero-emissions vehicles (ZEV) constraints. For cases with proactive ZEV inducements, plug-in FCEVs displace ICVs while satisfying the long range and short fueling attributes provided today by ICVs, reducing GHGs an additional 18% and CAPs up to an additional 40%.

Suggested Citation
Blake Lane (2019) Alternative Light- and Heavy-Duty Vehicle Fuel Pathway and Powertrain Optimization. PhD Dissertation. UC Irvine. Available at: https://escholarship.org/uc/item/70036475.

published journal article

Factors that Influence Risk Perception of Wildfires: A Systematic Review

ISEE Conference Abstracts

Publication Date

September 17, 2023

Author(s)

Anqi Jiao, Yuliya Danilovna Gluhova, Keira Truong, Suellen Hopfer, Jun Wu

Abstract

BACKGROUND AND AIM: Risk perception plays an important role in developing response actions to wildfires and can be influenced by a variety of factors. We aimed to conduct a systematic review to compile a comprehensive list of factors that affect the public’s wildfire risk perception. METHOD: We performed an online search for PubMed, ProQuest, and Web of Science databases to identify research published between January 2000 and August 2022. Studies reporting factors related to risk perception based on surveys were included in the review. RESULTS: From 3,466 papers retrieved, 20 studies met our screening criteria, and 16 were conducted in the United States. Several major factors were identified as influential factors for the risk perception of wildfires: sociodemographic characteristics, property ownership, living environment, prior wildfire-related experience, and wildfire-related information resources. The most common factors studied were age, income, education, dense vegetation around the residence, and prior wildfire experience. The associations of age and prior experience with wildfire risk perception were largely inconsistent across papers, with some papers associating older age and having prior wildfire experience with lower risk perception, while others concluded the opposite or no association at all. Other factors, such as owning a property and being able to receive wildfire-related information from different resources were associated with higher risk perception in most of the studies. CONCLUSIONS: To our knowledge, this is the first review to summarize associations of factors with wildfire-related risk perception. Future studies can provide further investigations and theories to explain inconsistent results for certain variables.

Suggested Citation
Anqi Jiao, Yuliya Danilovna Gluhova, Keira Truong, Suellen Hopfer and Jun Wu (2023) “Factors that Influence Risk Perception of Wildfires: A Systematic Review”, ISEE Conference Abstracts, 2023(1). Available at: 10.1289/isee.2023.EP-156.