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11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle systems, ISTVS 2022

作者： Swamy, Varsha Pandit, Rashna Yerro-Colom, Alba Sandu, Corina Rizzo, Denise Sebeck, Katherine Laboratory Department of Mechanical Engineering Virginia Tech Blacksburg Virginia United States bDepartment of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia United States cU.S. Army CCDC Ground Vehicle Systems Center 6501 E. 11 Mile Road Warren MI 48397.

ISBN: (纸本)9781942112532

The mobility of vehicles in off-road environments is critical for many applications. Understanding and predicting the tire-soil interaction is a challenge, especially when the terrain is largely deformable and plastic, and non-linear behavior is expected. This paper presents an overview of the bibliographic references on tires-deformable soil interactions and identifies the gaps present in the literature. The capabilities and challenges of different modeling methods used to assess the traction performance of a vehicle on deformable soil (i.e., analytical, semi-empirical, and numerical are discussed. Also, since the performance of the vehicle highly depends on the soil characteristics, a summary of the different material models used for non-cohesive and cohesive soil and the methods that have been used to characterize the soil is presented. The soil behavior and strength also depend on the water content and permeability along with the soil type. To highlight this, the available works on tire-wet soil interactions are discussed. Lastly, the different tire models and the validation methods that have been used for the soil, tire, and tire-deformable soil interaction are summarized. To conclude, this bibliographic review highlights that there is very limited work in the physics-based study of trafficability in wet soils, in particular in cohesive soil. Copyright © 2022 by the International Society for Terrain-Vehicle systems. All rights reserved.

关键词： Off road vehicles

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A Meta-Heuristic Solution Approach to Isolated Evacuation Problems

A Meta-Heuristic Solution Approach to Isolated Evacuation Pr...

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Simulation Winter Conference

作者： Klaas Fiete Krutein Linda Ng Boyle Anne Goodchild Department of Industrial & Systems Engineering University of Washington Seattle WA USA Department of Civil & Environmental Engineering University of Washington Seattle WA USA

ISBN: (纸本)9781665476621

This paper provides an approximation method for the optimization of isolated evacuation operations, modeled through the recently introduced Isolated Community Evacuation Problem (ICEP). This routing model optimizes the planning for evacuations of isolated areas, such as islands, mountain valleys, or locations cut off through hostile military action or other hazards that are not accessible by road and require evacuation by a coordinated set of special equipment. Due to its routing structure, the ICEP is NP-complete and does not scale well. The urgent need for decisions during emergencies requires evacuation models to be solved quickly. Therefore, this paper investigates solving this problem using a Biased Random-Key Genetic Algorithm. The paper presents a new decoder specific to the ICEP, that allows to translate in between an instance of the S-ICEP and the BRKGA. This method approximates the global optimum and is suitable for parallel processing. The method is validated through computational experiments.

关键词： Roads Computational modeling Metaheuristics Parallel processing Routing Hazards Planning

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Constructing Demand Curves from a Single Observation of Bundle Sales 18th

Constructing Demand Curves from a Single Observation of B...

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18th International Conference on Web and Internet Economics, WINE 2022

作者： Ma, Will Simchi-Levi, David Graduate School of Business Columbia University New YorkNY10027 United States Institute for Data Systems and Society Department of Civil and Environmental Engineering and Operations Research Center Massachusetts Institute of Technology CambridgeMA02139 United States

ISBN: (纸本)9783031228315

Firms typically require multiple sales observations under varying prices to understand how the demand for their items respond to price. In this paper, our partner online retailer is faced with the problem of reconstructing demand curves when only a single point on each curve has been historically observed. We show how a second point on each curve can be extracted from the sales of their discounted bundles, after which we help them estimate linear demand curves for their items. We perform this extraction by fitting a multi-item valuation model from the bundle pricing literature, introducing a new iterative procedure for solving this fitting problem. Our extraction process reveals a new insight on the relationship between an item’s relative frequency of bundle sales vs. the steepness of its demand curve around its current price. We validate this insight on the data provided by our partner firm. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sales

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Post-Mordm: Mapping Policies to Synthesize Optimization and Robustness Results for Decision-Maker Compromise

SSRN

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SSRN 2022年

作者： Bonham, Nathan Kasprzyk, Joseph Zagona, Edith University of Colorado Boulder Civil Environmental and Architectural Engineering Department United States Center for Advanced Decision Support for Water and Environmental Systems

This paper introduces post-MORDM, a decision-support framework that augments Many Objective Robust Decision Making (MORDM). MORDM often creates an intractable number of environmental management policies, characterized by decision variable, objective, and robustness values. This large number of policies inhibits decision support, causing disagreements among decision-makers. Post-MORDM addresses these challenges via the Self-Organizing Map (SOM), synthesizing MORDM data as layers organized in a map-like coordinate system. Post-MORDM is a structured platform that encourages negotiation and compromise. It uses the SOM to cluster policies, discover salient characteristics, and assess cause-effect relationships between decision-maker choices (i.e. decision variable values) and performance (objective and robustness values). Post-MORDM is demonstrated with a case study of two illustrative decision-makers for reservoir operation policy in the Colorado River Basin, USA. We use post-MORDM to communicate tradeoffs between storage and delivery objectives, relate tradeoffs to shortage policies, and identify mutually feasible policies. © 2022, The Authors. All rights reserved.

关键词： Decision making

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Global mitigation efforts cannot neglect emerging emitters

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National Science Review 2022年第12期9卷 82-89页

作者： Can Cui Dabo Guan Daoping Wang Jing Meng Vicky Chemutai Paul Brenton Shaohui Zhang Yuli Shan Qiang Zhang Steven J.Davis Department of Earth System Science Tsinghua University The Bartlett School of Sustainable Construction University College London Department of Computer Science and Technology University of Cambridge Centre for Nature and Climate World Economic Forum School of Urban and Regional Science Shanghai University of Finance and Economics The World Bank School of Economics and Management Beihang University International Institute for Applied Systems Analysis School of Geography Earth and Environmental Sciences University of Birmingham Department of Earth System Science University of California Irvine Department of Civil and Environmental Engineering University of California Irvine

International efforts to avoid dangerous climate change have historically focused on reducing energy-related CO2emissions from countries with either the largest economies（*** EU and the USA）and/or the largest populations（*** and India）.However,in recent years,emissions have surged among a different and much less-examined group of countries,raising concerns that a next generation of high-emitting economies will obviate current mitigation ***,we analyse the trends and drivers of emissions in each of the 59 countries where emissions in 2010-2018 grew faster than the global average（excluding China and India）,project their emissions under a range of longer-term energy scenarios and estimate the costs of decarbonization *** emissions from these 'emerging emitters' reach as much as 7.5 GtCO2/year in the baseline 2.5° scenari—substantially greater than the emissions from these regions in previously published scenarios that would limit warming to 1.5℃ or even 2℃.Such unanticipated emissions would in turn require non-emitting energy deployment from all sectors within these emerging emitters,and faster and deeper reductions in emissions from other countries to meet international climate ***,the annual costs of keeping emissions at the low level are in many cases 0.2%-4.1% of countries' gross domestic production,pointing to potential trade-offs with poverty-reduction goals and/or the need for economic support and low-carbon technology transfer from historically high-emitting *** results thus highlight the critical importance of ramping up mitigation efforts in countries that to this point have been largely ignored.

关键词： emerging emiters developing countries climate change mitigation CO_2 emissions net zero

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Distribution and source of microplastics in China's second largest reservoir-Danjiangkou Reservoir

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Journal of environmental Sciences 2021年第4期33卷 74-84页

作者： Li Lin Xiong Pan Sheng Zhang Danwen Li Wenliang Zhai Zhen Wang Jingxiang Tao Changqing Mi Qingyun Li John C.Crittenden Basin Water Environmental Research Department Changjiang River Scientific Research InstituteWuhanHubei 430010China Key Lab of Basin Water Resource and Eco-Environmental Science in Hubei Province WuhanHubei 430010China School of Environmental Science and Technology Huazhong University of Science and TechnologyWuhanHubei 430074China Brook Byers Institute of Sustainable Systems School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaGA 30332USA

Fresh water microplastic pollution is of pressing concern globally,but its distribution and sources in reservoirs are poorly *** Reservoir is the second largest reservoir in China and is divided into the Han Reservoir and Dan *** this work,microplastic abundances and morphological characteristics of the reservoir were *** microplastic abundance of 15 main tributaries of the reservoir was also *** vertical distribution(in water column and sediment),horizontal distribution(in Han Reservoir and Dan Reservoir)and source of microplastics were *** accumulated in the middle layer of the reservoir,and the size and color of the microplastic particles changed from the surface to the bottom,which implies that surveys of surface water are not enough to determine the microplastic contamination for deep water *** the surface water,the microplastic abundance in the Han Reservoir was lower than that in the Dan Reservoir(p<0.05),but microplastic abundance did not differ significantly in the intermediate and bottom *** were one of the main sources of microplastics for Han Reservoir but not for Dan *** cultivation in the hydro-fluctuation belt might be an important source of microplastics in the Dan Reservoir,which should be given additional *** results of this study can provide valuable information for developing microplastic sampling strategies in deep water *** studies are recommended to investigate the process through which microplastics in the hydro-fluctuation belt enter the reservoir and the sinking behavior of microplastics in the reservoir.

关键词： Microplastic Vertical distribution Source Hydro-fluctuation belt Danjiangkou Reservoir

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New frontiers of freeway traffic control and estimation

New frontiers of freeway traffic control and estimation

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IEEE Conference on Decision and Control

作者： M. L. Delle Monache C. Pasquale M. Barreau R. Stern Department of Civil and Environmental Engineering University of California Berkeley USA Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Division of Decision and Control Systems and Digital Futures KTH Royal Institute of Technology Stockholm Sweden Department of Civil Environmental and Geo-Engineering University of Minnesota USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

This article provides an overview of the classical and new techniques in traffic flow control and estimations. The overview begins with a description of the most used traffic flow models for estimation and control. Then, it shifts towards using those models for traffic flow estimation using physics-informed machine learning techniques. Lastly, it focuses on traffic flow control describing the most classical techniques and the new advancement in traffic control using autonomous vehicles.

关键词： Actuators Technological innovation Microscopy Estimation Machine learning Traffic control Data models

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Modeling Resilience of System Order for Investments in environmental Justice and Social Vulnerability

Modeling Resilience of System Order for Investments in Envir...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Gigi Pavur Benjamin J. Trump Igor Linkov Thomas L. Polmateer James H. Lambert Venkataraman Lakshmi Dept. of Civil and Environmental Engineering University of Virginia Charlottesville VA USA Engineer Research & Development Center US Army Corps of Engineers Concord MA USA Commonwealth Center for Advanced Logistics Systems Madison VA USA Dept. of Systems and Information Engineering University of Virginia Charlottesville VA USA

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The resilience of vulnerable populations to environmental extremes is a concern for policymaking across environmental justice, economic development, technology innovation, etc. This study models the resilience of system order for a portfolio of investments, focusing on the spatial distributions of environmental stressors (i.e., precipitation, temperature, soil moisture, and elevation), social vulnerability, and risk exposure. The methodology quantifies risk as a disruption of baseline order under each of several scenarios that combine social and environmental factors, with attention to vulnerable populations. A realistic example is described with features of a southeastern region of the USA. The results and methodology are a rationale for the allocation of investments for economic development and system resilience, balancing among several criteria of social vulnerability and environmental justice.

关键词： Economics Fault tolerance Temperature distribution Technological innovation Graphical models Resource management Telemetry Resilience Investment Distribution functions

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Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities

arXiv

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arXiv 2025年

作者： Yan, Yimo Liao, Yejia Xu, Guanhao Yao, Ruili Fan, Huiying Sun, Jingran Wang, Xia Sprinkle, Jonathan An, Ziyan Ma, Meiyi Cheng, Xi Liu, Tong Ke, Zemian Zou, Bo Barth, Matthew Kuo, Yong-Hong Department of Data and Systems Engineering The University of Hong Kong Hong Kong Department of Civil Materials and Environmental Engineering University of Illinois ChicagoIL United States Department of Electrical Engineering University of California RiversideCA United States Buildings and Transportation Science Division Oak Ridge National Laboratory TN United States University of California RiversideCA United States School of Civil and Environmental Engineering Georgia Institute of Technology GA United States University of Texas AustinTX United States Department of Computer Science Vanderbilt University TN United States Cornell University NY United States Department of Civil and Environmental Engineering University of Illinois Urbana-Champaign IL United States Google Inc. CA United States

The rapid rise of Large Language Models (LLMs) is transforming traffic and transportation research, with significant advancements emerging between the years 2023 and 2025 – a period marked by the inception and swift growth of adopting and adapting LLMs for various traffic and transportation applications. However, despite these significant advancements, a systematic review and synthesis of the existing studies remain lacking. To address this gap, this paper provides a comprehensive review of the methodologies and applications of LLMs in traffic and transportation, highlighting their ability to process unstructured textual data to advance transportation research. We explore key applications, including autonomous driving, travel behavior prediction, and general transportation-related queries, alongside methodologies such as zero- or few-shot learning, prompt engineering, and fine-tuning. Our analysis identifies critical research gaps. From the methodological perspective, many research gaps can be addressed by integrating LLMs with existing tools and refining LLM architectures. From the application perspective, we identify numerous opportunities for LLMs to tackle a variety of traffic and transportation challenges, building upon existing research. By synthesizing these findings, this review not only clarifies the current state of LLM adoption and adaptation in traffic and transportation but also proposes future research directions, paving the way for smarter and more sustainable transportation systems. © 2025, CC BY-NC-SA.

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Assessing Bacteria Level with Machine Learning (ML) Models in the Neches River, Texas

Assessing Bacteria Level with Machine Learning (ML) Models i...

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World environmental and Water Resources Congress 2025

作者： Mengjie He Qin Qian Xinyu Liu Jing Zhang Dept. of Industry and Systems Engineering Lamar Univ. Beaumont TX United States Dept. of Civil and Environmental Engineering Lamar Univ. Beaumont TX United States Dept. of Computer Science Lamar Univ. Beaumont TX United States

ISBN: (数字)9780784486184

ISBN: (纸本)9780784486184

Bacteria released from the on-site sewer facilities (OSSFs) elevated fecal bacteria indicators in the Neches River Tidal with increasing flood frequency and intensity. It is necessary to monitor the bacteria levels on time as elevated fecal bacteria bring a public health concern. The aim of the study is to collect water samples after rain events at hotspots of OSSFs to assess the bacteria impacts, apply innovative lab technology to track fecal bacteria sources from the selected water samples, and develop the classification ML model utilizing random forest (RF) for estimating bacteria levels in the Neches River Tidal to assist water monitoring. The field and lab measurements of the water sample showed higher Escherichia coli at hotspots of OSSF increased the bacteria level in the river, especially in winter. The RF determined bacteria levels in river depending on pH, temperature, dissolved oxygen (DO), alkalinity, phosphorus, sulfate, conductivity, chloride, total suspended solid (TSS), total nitrogen (TN), Secchi-Depth, ammonia-N, and flow rate from five monitoring stations. RF achieved accuracy=0.74, precision=0.79, recall=0.86, and F1-score=0.83 with less overfitting, superior to the Decision Tree (DT) model. Flow rate was identified as the most important feature. The probability of elevated bacterial level significantly increased when the flow rate was greater than 250 m3/s although pH, temperature, and DO were also key biochemical factors. In conclusion, fixing failed OSSFs or applying green infrastructures are recommend approaches to eliminate the nonpoint source and decrease the bacteria level in Neches River Tidal.

关键词： bacteria level Best Management Practices (BMPs) machine learning (ML) nonpoint sources On-Site Sewer Facilities (OSSFs) Random Forest

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