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Systemic evaluation of spatio-temporal variations in travel time reliability due to a toll road over time

Urban, Planning and Transport Research 2021年第1期9卷 36-59页

作者： Mathew, Sonu Pulugurtha, Srinivas S. Graduate of Infrastructure & Environmental Systems (INES) Program The University of North Carolina at Charlotte Charlotte NC United States Professor of Civil & Environmental Engineering Department Director of Infrastructure Design Environment & Sustainability (IDEAS) Center The University of North Carolina at Charlotte Charlotte NC United States

This paper evaluates the effectiveness of toll roads in reducing congestion and improving travel time reliability on streets within its vicinity, over time. The data, from the year 2013 to 2017, for the Triangle Expressway in the city of Raleigh, North Carolina was used in the systemic evaluation process. The spatial and temporal variations in the travel time distributions on the toll road, parallel route, and near-vicinity cross-streets (in a 2-mile buffer) were evaluated. The average travel time (ATT), the 95th percentile travel time (or planning time, PT), the buffer time (BT), and the buffer time index (BTI) were computed for each link by the day-of-the-week and the time-of-the-day. Though there was an improvement in travel time after the speed limit change in the year 2014, the travel time reliability got reduced on the Triangle Expressway. Over time, there was a gradual improvement in BT and BTI. The parallel route reliability decreased significantly over time, whereas the travel time reliability of cross-streets showed a consistent trend. The stabilization of travel time distributions and the reliability measures in the year 2017 indicate that further reduction in performance measures may not be expected in the next few years on the near-vicinity links. © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： buffer time buffer time index road spatial temporal Toll travel time

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Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning

Empirical Data-Based Condition Prediction for Stormwater Pip...

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IEEE Southeastcon

作者： Jingyi Qi Michael Smith Nicole Barclay Infrastructure and Environmental Systems Program UNC Charlotte Charlotte NC USA UNC Charlotte Charlotte NC USA

Aging compounded with the urbanization encroachment and economic pressures have rendered underground infrastructure a great challenge to municipal agencies in terms of maintenance. Reliable condition prediction can alleviate this burden for underground pipelines by providing decision support on optimal renewal, replacement, and maintenance. However, municipalities are challenged on the management of stormwater pipelines, as it is usually constrained by limited budget and time. Different from traditional mathematical models, machine learning shows better strength in processing large datasets amidst some missing or "noisy" data. This paper proposes a framework for a novel data-driven model for predicting stormwater infrastructure conditions to identify at-risk pipelines and culverts using existing data inventory.

关键词： Analytical models Pipelines Machine learning Predictive models Maintenance engineering Aging Data models

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Modeling the Adoption of Green Stormwater infrastructure Considering Cognitive Biases

SSRN

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SSRN 2023年

作者： Qi, Jingyi Barclay, Nicole Infrastructure and Environmental Systems Program University of North Carolina at Charlotte CharlotteNC28223 United States Department of Engineering Technology and Construction Management University of North Carolina at Charlotte CharlotteNC28223 United States

Many barriers obstruct green stormwater infrastructure (GSI) implementation, particularly in residential areas where it primarily relies on voluntary buy-in. Thus, it is necessary to determine the most effective mitigation strategies and raise attention to them. This paper considers cognitive biases in decision-making to quantitatively simulate their influence on GSI adoption behaviors in residential areas. The overall goal is to model the adoption of GSI measures in residential areas by incorporating the cognitive biases of residential-based adopters. The methods include agent-based modeling with the model framed by the theory of planned behavior. Data used in the model included survey data collected from participants who reside in the study area and values from the literature. The results show that cognitive biases, when both status quo and loss aversion biases are present, could significantly limit adoption, especially when the initial adopters are sparse. Overall, the main contribution of this work is to provide insights into how cognitive biases may impact long-term GSI implementation planning. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Are facilities to support alternative modes effective in reducing congestion?: Modeling the effect of heterogeneous traffic conditions on vehicle delay at intersections

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Multimodal Transportation 2023年第1期2卷

作者： Kodupuganti, Swapneel R. Pulugurtha, Srinivas S. Ph.D. Graduate of Infrastructure and Environmental Systems (INES) Program The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Professor & Research Director of Civil & Environmental Engineering Department Director of Infrastructure Design Environment and Sustainability (IDEAS) Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States

Multimodal facilities are being built in a majority of urban areas to accommodate both motorized and non-motorized traffic. The resulting transportation system is susceptible to complex interactions between different modes and users. These complex interactions are hard to quantify and capture on a regular basis. There is a need to rely on a microsimulation platform to replicate such real-world scenarios and forecast future conditions. This study focuses on assessing the effect of heterogeneous traffic conditions involving multiple modes like light rail transit (LRT), walking, bicycling, and motorized traffic on vehicle delay at intersections using Vissim traffic simulation software. A 2.5-mile urban arterial corridor comprising of seven at-grade and two grade-separated signalized intersections along US-29 route in the city of Charlotte, NC, USA was chosen for analysis and modeling. Base simulation model was developed by replicating the traffic scenario for the year 2018 (without LRT and non-motorized traffic). External controllers like VisVAP and Viswalk were used to assign signal priority and model heterogenous traffic conditions. The vehicle operational performance of the corridor improved along the major street after the addition of the LRT. An increase in vehicle delay on the major street was observed with an increase in the non-motorized traffic. Contrarily, the operational performance of the cross-streets at at-grade intersections did not see any significant change due to the addition of non-motorized traffic. The proposed framework assists planners to assess the impact of adding a new transit system like LRT and associated non-motorized traffic on the urban corridor. © 2022

关键词： Bicyclist Light rail transit LRT Operational performance Pedestrian Vehicle delay

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Wildfire Risk Mitigation through systems Analysis of the Planetary Emergency

ASCE Open: Multidisciplinary Journal of Civil Engineering

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ASCE Open: Multidisciplinary Journal of Civil Engineering 2024年第1期2卷

作者： Lambert, James H. Dorn, R. Ranger Ayyub, Bilal M. Barletta, William A. Organek, John F. Piras, Marco Gunn, Megan E. Zichichi, S. Fabrizio Center for Risk Management of Engineering Systems Dept. of Systems and Information Engineering Univ. of Virginia CharlottesvilleVA22904 United States Electric Infrastructure Security Council Oak ViewCA93022 United States Center for Technology and Systems Management Dept. of Civil and Environmental Engineering Univ. of Maryland College ParkMD20742 United States Dept. of Commerce Applied Economics Office National Institute of Standards and Technology GaithersburgMD20899 United States International Joint Research Center for Resilient Infrastructure Tongji Univ. Shanghai China Dept. of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Program Planning & Operational Architecture Electric Infrastructure Security Council WashingtonDC20002 United States Dept. of Environment Land and Infrastructure Engineering Politecnico di Torino Turin10129 Italy Dept. of Systems and Information Engineering Univ. of Virginia CharlottesvilleVA22904 United States Ettore Majorana Foundation Centre for Scientific Culture Sicily91016 Italy

Recognizing wildfires as a multiscale planetary emergency, this paper describes a systems analysis of technology countermeasures, with special attention to Sicily, California, and several other regions. The paper describes a framework for systems integration of firefighting, satellites, fixed imaging, and aerial vehicles, with mathematical simulation and machine learning, to support both policy mitigations and responses to incidents. The approach includes (1) the characterization of the planetary emergency of wildfires, (2) early identification of dangerous wildfires and means for their control, and (3) reduction of risks to population centers in both rural and urban areas. Societal metrics of success include human health and safety, environment and ecology, critical food and industrial supply chains, geopolitical security, and others. Several technology and policy countermeasures of particular interest are regional fuel management, distributed sensors, computational intelligence, advanced firefighting materials, protocols, and automatic and semiautonomous responses, benefiting from the latest advancements in information technologies including artificial intelligence, machine learning, and others. © 2024 This work is made available under the terms of the Creative Commons Attribution 4.0 International license.

关键词： Risk assessment

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Torsional Performance of Vat-Photopolymerized Tough Resins: Influences of Gauge Length and Uv Post-Curing

SSRN

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SSRN 2024年

作者： Sadaghian, Hamed Khalilzadehtabrizi, Sahand Khodadoost, Saeed Yeon, Jung Heum School of Architecture Building and Civil Engineering Loughborough University LoughboroughLE11 3TU United Kingdom Department of Civil and Environmental Engineering Centre for Infrastructure Systems Engineering University of Surrey Guilford United Kingdom Department of Civil Engineering University of Tabriz Tabriz Iran Civil Engineering Program Ingram School of Engineering Texas State University San MarcosTX78666 United States

A myriad of materials, ranging from soft sensors to bone substitutes, undergo torsional loading throughout their operational lifespan, often produced using additive manufacturing (AM) technology due to its broad applicability. Understanding the torsional behavior of these AM components is paramount prior to their utilization. However, research concerning the torsional behavior of solid additively-manufactured resin polymers remains limited. To bridge this gap, 48 torsion specimens were fabricated using vat photopolymerization (VPP) with AnyCubic UV Tough Resin. These specimens varied in gage lengths (20, 40, 60, and 80 mm) and were subjected to five UV post-curing durations (0, 15, 30, 60, 90, and 120 minutes). Monotonic torsion was applied until failure at a rate of 0.1 revolutions per minute, revealing ductile failure patterns across specimens. Longer post-curing times correlated with increased torsional capacities and shear moduli, although conclusions regarding energy absorption per unit volume remained inconclusive. Additionally, a normalized trilinear model was proposed to characterize the behavior of additively-manufactured resin polymers under monotonic torsion, facilitating numerical simulation of material responses in finite element software. © 2024, The Authors. All rights reserved.

关键词： Torsional stress

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Introducing a Novel Hybrid Agent-Based Framework for Simulating the Adoption of Residential Water Conservation Behaviors

Introducing a Novel Hybrid Agent-Based Framework for Simulat...

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World environmental and Water Resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Shahangian, Seyyed Ahmadreza Tabesh, Massoud Yazdanpanah, Masoud Akbarzadeh, Abbas Raoof, Mohammad Amin Zobeidi, Tahereh Hajibabaei, Mohsen Sitzenfrei, Robert School of Civil Engineering College of Engineering Univ. of Tehran Tehran Iran Water and Wastewater Research Center Water Research Institute Tehran Iran Dept. of Agricultural Extension and Education Agricultural Sciences and Natural Resources Univ. of Khuzestan Mollasani Iran Dept. of Family Youth and Community Sciences Univ. of Florida GainesvilleFL United States Dept. of Civil Engineering Sharif Univ. of Technology Tehran Iran Advancing System Analysis Program International Institute for Applied Systems Analysis Laxenburg Austria Unit of Environmental Engineering Dept. of Infrastructure Engineering Univ. of Innsbruck Innsbruck Austria

ISBN: (数字)9780784484852

ISBN: (纸本)9780784484852

Promoting household adoption of water conservation behaviors (WCBs) has emerged as a vital strategic response to address water scarcity. Nevertheless, it is imperative to recognize that acceptance of residential WCBs relies on households' voluntary engagement, as are interventions designed to encourage households to become involved in such actions. Meanwhile, environmental psychology plays a key role in understanding individuals' WCBs and exploring the psychosocial determinants underlying these behaviors. Furthermore, the spread of technology and behavior among a population are known as a complex adaptive system (CAS), and agent-based modeling (ABM) offers a comprehensive and practical approach to studying CASs. Hence, the main aim of the present research is to introduce a novel, hybrid agent-based framework for simulating the adoption of residential WCBs, in which an extended model of the theory of planned behavior acts as household agents' behavioral rule for adopting water-efficiency behaviors (WEBs). The framework is also grounded in various theories rooted in psychological and social sciences. Moreover, the presented framework integrates ABM and structural equation modeling approaches. Although this study mainly focuses on WEBs, the framework includes a mechanism to update agents' water use based on their adoption level of water curtailment behaviors. Thus, the presented framework allows for simultaneously but separately exploring the preferred level of both types of WCBs among household agents. Finally, total water consumption is systematically calculated based on agents' aggregated behavior. © World environmental and Water Resources Congress *** rights reserved

关键词： Water conservation

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Examining associations with on-time performance and identifying relevant road network, demographic, socioeconomic and land use characteristics within the bus stop vicinity for proactive and reliable public transportation system planning

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Multimodal Transportation 2023年第4期2卷

作者： Mishra, Raunak Pulugurtha, Srinivas S. Mathew, Sonu Former Graduate Student of Infrastructure and Environmental Systems Ph.D. Program The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Professor & Research Director of Civil & Environmental Engineering Department Director of Infrastructure Design Environment and Sustainability (IDEAS) Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Post-Doctoral Researcher of IDEAS Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States

Growing population, rapid urbanization, and increasing travel demand emphasize the need for reliable public transportation systems and sustainable transportation planning. A reliable bus service fosters a more significant, satisfied, and committed base of users. This research focuses on examining the association between on-time performance (OTP) and road network, demographic, socioeconomic, and land use characteristics to identify relevant external factors for proactive and reliable public transportation system planning. The analysis was conducted at a bus stop level. Bus arrival/departure data from the Charlotte Area Transit System (CATS) was obtained. The road network, demographic, socioeconomic, and land use characteristics were captured within 0.25-mile and 0.50-mile buffers. Pearson correlation analysis was conducted to understand the association between OTP and road network, demographic, socioeconomic, and land use characteristics by day of the week and time of the day. The results show that OTP is associated with external factors such as the number of signalized or cul-de-sac/dead-end intersections, number of lanes, network density, population, income (median and total), and land use types related to residential and commercial/employment purposes within the bus stop vicinity. The findings provide vital insights for transit agencies to enhance scheduling, service and maximize benefits, effectively utilize available resources, plan, and provide equitable services to all riders. © 2023 The Author(s)

关键词： Bus stop Demographic Land use On-time performance Pearson correlation Road network Socioeconomic Transit

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Monotonic Torsion of Vat Photopolymerized Tough Resin Polymers: The Effects of Gage Length and Ultraviolet Post-Curing

SSRN

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SSRN 2023年

Numerous materials, including soft sensors, microgrippers, metamaterials, bone substitutes, photopolymers, and functionally graded materials, undergo torsional loading throughout their service life. With the widespread adoption of additive manufacturing technology across various fields, many of the foregoing components are fabricated using additive manufacturing technology. Hence, it is essential to characterize the torsional behavior of additively-manufactured components before using them. More importantly, studies on additively-manufactured resin polymers are scarce, if any. To this end, the vat photopolymerization (VPP) technique was employed to fabricate 48 torsion specimens. These specimens were additively manufactured from the AnyCubic ultraviolet (UV) Tough Resin Material in a vertical build orientation. The study involved four different gage lengths: 20, 40, 60, and 80 mm. Additionally, five UV post-curing times (0, 15, 30, 60, 90, and 120 minutes) were considered as variables. Monotonic torsion was applied to the specimens at a rate of 0.1 revolutions per minute until failure. The results revealed that the failure patterns of all specimens were ductile. It was observed that longer post-curing times correlated with increased torsional capacities and shear moduli. However, no definitive conclusion could be drawn regarding the energy absorption per unit volume of the specimens. Furthermore, a normalized trilinear model was proposed to characterize the behavior of additively-manufactured resin polymers under monotonic torsion. This model is applicable for finite element software, enabling numerical simulation of the material’s response. © 2023, The Authors. All rights reserved.

关键词： Photopolymerization

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A Density-Based Measure of Port Seaside Space-Time Utilization 9th

A Density-Based Measure of Port Seaside Space-Time Utilizati...

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9th International Symposium on Information Fusion and Intelligent Geographical Information systems, IF and IGIS 2019

作者： Nikparvar, Behnam Thill, Jean-Claude Infrastructure and Environmental Systems Program University of North Carolina at Charlotte 9201 University City Blvd CharlotteNC28223 United States Department of Geography and Earth Sciences University of North Carolina at Charlotte 9201 University City Blvd. CharlotteNC28223 United States

ISBN: (纸本)9783030316075

The space-time study of seaside space use by vessels may support traffic and operation management practices at ports. In this paper, we quantify space utilization using a volumetric index resulting from a density-based generalization of vessel *** use an extension of the kernel density estimation method in a 3D space where the third dimension is time and voxels are the basic elements of this space. Vessel trajectories are represented as line features passing through these voxels. To measure the utilization of space at different times, we aggregate the presence of vessels in a voxel using a prime shape kernel. We applied this approach to study space utilization at a terminal in the Port of Rotterdam during September 2017. Our results show that this measure of space-time utilization is practical and informative to monitor how intensively vessels use space across the waterside assets of the port, along the time line and at various temporal scales. © Springer Nature Switzerland AG 2020.

关键词： Beaches

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