published journal article

Health disparities in air pollution exposures and risks

ISEE Conference Abstracts

Publication Date

August 15, 2024

Author(s)

Anna H Wu, Jun Wu, Meera Sangaramoorthy, David Bogumil, Timothy Larson, Chiuchen Tseng, Scott Fruin, Salma Shariff Marco, Daniel O Stram, Beate Ritz, Iona Cheng

Abstract

BACKGROUND AND AIM[|]A limited number of studies have investigated the impact of ambient air pollution on risk of cancers other than lung cancer among racially and ethnically diverse populations.[¤]METHOD[|]Among ~97,000 California participants of the Multiethnic Cohort Study (MEC) (35% African American, 39% Latino participants) who have been followed since cohort enrollment (1993-1996), we used Cox proportional hazards regression to examine associations between time-varying traffic-related air pollutants (gaseous and particulate matter (PM) pollutants) and risk of brain, breast, and pancreatic cancers as well as circulating levels of C-reactive protein (CRP) with adjustment for demographics, lifetime smoking, neighborhood socioeconomic status (nSES), and lifestyle factors. Subgroup analyses were conducted for race and ethnicity, nSES, and other factors.[¤]RESULTS[|]Exposure to fine particulate matter (PM2.5) was associated with a statistically significant increased risk of breast cancer in all females with no evidence of heterogeneity by race and ethnicity or hormone receptor status. Risk of pancreatic cancer also increased in association with exposure to PM2.5; the elevated risk was particularly prominent among Latino participants. Risk of malignant brain cancer increased with exposure to airport-related ultrafine particles (UFP) and the risk was statistically significant among African American participants, who had higher UFP exposures than other racial and ethnic groups. CRP levels measured in 7,860 California MEC participants from blood samples obtained in 1994-2016 showed that CRP levels increased with 12-month exposure to PM10 and other pollutants, providing support that air pollutants can harm health by promoting chronic inflammation in the body.[¤]CONCLUSIONS[|]These findings in large numbers of U.S. minoritized racial and ethnic populations support an association of ambient air pollution exposure with several cancer sites other than lung cancer. Further investigations of the biological mechanisms underlying air pollution-related carcinogenesis are a priority.[¤]

Suggested Citation
Anna H Wu, Jun Wu, Meera Sangaramoorthy, David Bogumil, Timothy Larson, Chiuchen Tseng, Scott Fruin, Salma Shariff Marco, Daniel O Stram, Beate Ritz and Iona Cheng (2024) “Health disparities in air pollution exposures and risks”, ISEE Conference Abstracts, 2024(1). Available at: 10.1289/isee.2024.1785.

published journal article

The household activity pattern problem - general formulation and solution

TRANSPORTATION RESEARCH PART B: METHODOLOGICAL

Publication Date

January 1, 1995

Author(s)

Ww Recker

Abstract

The household activity pattern problem of analyzing/predicting the optimal path of household members through time and space as they complete a prescribed agenda of out-of-home activities is posed as a variant of the pickup and delivery problem with time windows. The most general case of the model includes provision for vehicle transfer, selective activity participation, and ridesharing options. A series of examples are solved using generic algorithms. The model is purported to remove existing barriers to the operationalization of activity-based approaches in travel behavior analysis.

Suggested Citation
Ww Recker (1995) “The household activity pattern problem - general formulation and solution”, TRANSPORTATION RESEARCH PART B: METHODOLOGICAL, 29(1), pp. 61–77. Available at: 10.1016/0191-2615(94)00023-S.

published journal article

Modeling of drinking and driving behaviors among adolescents and young adults in the United States: Complexities and Intervention outcomes

Social Science & Medicine

Publication Date

August 1, 2024

Author(s)

Niyousha Hosseinichimeh, Rod MacDonald, Kaigang Li, James C. Fell, Denise L. Haynie, Bruce Simons-Morton, Barbara C. Banz, Deepa R. Camenga, Ronald J. Iannotti, Leslie A. Curry, James Dziura, David F. Andersen, Federico E. Vaca

Abstract

Alcohol-impaired driving is a formidable public health problem in the United States, claiming the lives of 37 individuals daily in alcohol-related crashes. Alcohol-impaired driving is affected by a multitude of interconnected factors, coupled with long delays between stakeholders’ actions and their impacts, which not only complicate policy-making but also increase the likelihood of unintended consequences. We developed a system dynamics simulation model of drinking and driving behaviors among adolescents and young adults. This was achieved through group model building sessions with a team of multidisciplinary subject matter experts, and a focused literature review. The model was calibrated with data series from multiple sources and replicated the historical trends for male and female individuals aged 15 to 24 from 1982 to 2020. We simulated the model under different scenarios to examine the impact of a wide range of interventions on alcohol-related crash fatalities. We found that interventions vary in terms of their effectiveness in reducing alcohol-related crash fatalities. In addition, although some interventions reduce alcohol-related crash fatalities, some may increase the number of drinkers who drive after drinking. Based on insights from simulation experiments, we combined three interventions and found that the combined strategy may reduce alcohol-related crash fatalities significantly without increasing the number of alcohol-impaired drivers on US roads. Nevertheless, related fatalities plateau over time despite the combined interventions, underscoring the need for new interventions for a sustained decline in alcohol-related crash deaths beyond a few decades. Finally, through model calibration we estimated time delays between actions and their consequences in the system which provide insights for policymakers and activists when designing strategies to reduce alcohol-related crash fatalities.

Suggested Citation
Niyousha Hosseinichimeh, Rod MacDonald, Kaigang Li, James C. Fell, Denise L. Haynie, Bruce Simons-Morton, Barbara C. Banz, Deepa R. Camenga, Ronald J. Iannotti, Leslie A. Curry, James Dziura, David F. Andersen and Federico E. Vaca (2024) “Modeling of drinking and driving behaviors among adolescents and young adults in the United States: Complexities and Intervention outcomes”, Social Science & Medicine, 354, p. 117087. Available at: 10.1016/j.socscimed.2024.117087.

conference paper

LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice

Publication Date

May 31, 2024

Author(s)

Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas, Gustavo Quiros, Oluwatosin Ogundare, Mohammad Al Faruque

Abstract

Although Large Language Models (LLMs) have established predominance in automated code generation, they are not devoid of shortcomings. The pertinent issues primarily relate to the absence of execution guarantees for generated code, a lack of explainability, and suboptimal support for essential but niche programming languages. State-of-the-art LLMs such as GPT-4 and LLaMa2 fail to produce valid programs for Industrial Control Systems (ICS) operated by Programmable Logic Controllers (PLCs). We propose LLM4PLC, a user-guided iterative pipeline leveraging user feedback and external verification tools – including grammar checkers, compilers and SMV verifiers – to guide the LLM’s generation. We further enhance the generation potential of LLM by employing Prompt Engineering and model fine-tuning through the creation and usage of LoRAs. We validate this system using a FischerTechnik Manufacturing TestBed (MFTB), illustrating how LLMs can evolve from generating structurally-flawed code to producing verifiably correct programs for industrial applications. We run a complete test suite on GPT-3.5, GPT-4, Code Llama-7B, a fine-tuned Code Llama-7B model, Code Llama-34B, and a fine-tuned Code Llama-34B model. The proposed pipeline improved the generation success rate from 47% to 72%, and the Survey-of-Experts code quality from 2.25/10 to 7.75/10.To promote open research, we share the complete experimental setup, the LLM Fine-Tuning Weights, and the video demonstrations of the different programs on our dedicated webpage1.

Suggested Citation
Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas, Gustavo Quiros, Oluwatosin Ogundare and Mohammad Abdullah Al Faruque (2024) “LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems”, in Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. New York, NY, USA: Association for Computing Machinery (ICSE-SEIP '24), pp. 192–203. Available at: 10.1145/3639477.3639743.

book/book chapter

Network Traffic Flow Theory: Principles, Concepts, Models, and Methods

Publication Date

April 13, 2021

Author(s)

Abstract

Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods provides a comprehensive introduction to modern theories for modeling, mathematical analysis and traffic simulations in road networks. The book breaks ground, addressing traffic flow theory in a network setting and providing researchers and transportation professionals with a better understanding of how network traffic flows behave, how congestion builds and dissipates, and how to develop strategies to alleviate network traffic congestion. The book also shows how network traffic flow theory is key to understanding traffic estimation, control, management and planning. Users wills find this to be a great resource on both theory and applications across a wide swath of subjects, including road networks and reduced traffic congestion. Covers the most theoretically and practically relevant network traffic flow theories Provides a systematic introduction to traditional and recently developed models, including cell transmission, link transmission, link queue, point queue, macroscopic and microscopic models, junction models and network stationary states Applies modern network traffic flow theory to real-world applications in modeling, analysis, estimation, control, management and planning

Suggested Citation
Wen-Long Jin (2021) Network Traffic Flow Theory: Principles, Concepts, Models, and Methods. Elsevier.

published journal article

Tool to Evaluate Safety Effects of Changes in Freeway Traffic Flow

Journal of Transportation Engineering

Suggested Citation
Thomas F. Golob, Wilfred W. Recker and Veronica M. Alvarez (2004) “Tool to Evaluate Safety Effects of Changes in Freeway Traffic Flow”, Journal of Transportation Engineering, 130(2), pp. 222–230. Available at: 10.1061/(ASCE)0733-947X(2004)130:2(222).

working paper

A Model of Complex Travel Behavior: Part II. An Operational Model

Publication Date

October 1, 1985

Working Paper

UCI-ITS-WP-85-9, UCI-ITS-AS-WP-85-3

Areas of Expertise

Abstract

Based on the theoretical model of complex travel behavior developed in a companion paper (Recker et al, 1985), an operational system of models, STARCHILD (Simulation of Travel/Activity Responses to Complex Household Interactive Logistic Decisions), has been developed to examine the formation of household travel/activity patterns. The system employs a simulation approach in combination with techniques of pattern recognition, multiobjective optimization and disaggregate choice models. Initial empirical verification of the system of models is presented based on results obtained from a sample data set.

Suggested Citation
Will Recker, Michael G. McNally and Gregory S. Root (1985) A Model of Complex Travel Behavior: Part II. An Operational Model. Working Paper UCI-ITS-WP-85-9, UCI-ITS-AS-WP-85-3. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/6k62j20h.

published journal article

Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities

Transportation Research Part C: Emerging Technologies

Publication Date

April 1, 2001

Abstract

Travel, like many other aspects of daily life is being transformed by the information technology (IT) revolution. Accessibility can no longer be measured only in terms of travel time, distance or generalized travel cost. IT gives people virtual accessibility to a rapidly growing range of activities. E-commerce has become a catalyst for structural changes in the freight transportation industry and is changing where freight moves, the size of typical shipments and the time within which goods must be delivered. In this paper, we explore some of the potential effects of IT on transportation, both personal and freight.

Suggested Citation
Thomas F. Golob and Amelia C. Regan (2001) “Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities”, Transportation Research Part C: Emerging Technologies, 9(2), pp. 87–121. Available at: 10.1016/S0968-090X(00)00042-5.

conference paper

Identifying common activity pattern characteristics among social group members

Frontiers in transportation 2007: Social interactions, amsterdam

Publication Date

January 1, 2007
Suggested Citation
Craig Rindt and James Marca (2007) “Identifying common activity pattern characteristics among social group members”, in Frontiers in transportation 2007: Social interactions, amsterdam.

published journal article

Statistical approach to statewide traffic counting.

Transportation Research Record

Publication Date

January 1, 1986

Author(s)

Suggested Citation
Stephen G. Ritchie (1986) “Statistical approach to statewide traffic counting.”, Transportation Research Record, pp. 14–21.