Relevant bibliographies by topics / Operating speed prediction model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Operating speed prediction model'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Operating speed prediction model"

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VERTLBERG, Juraj Leonard, Marko ŠVAJDA, Marijan JAKOVLJEVIĆ, and Marko ŠEVROVIĆ. "Operating Vehicles’ Speed Prediction Models." Promet - Traffic&Transportation 36, no. 3 (2024): 383–98. http://dx.doi.org/10.7307/ptt.v36i3.543.

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Vehicle speed is one of the main factors that influence the occurrence and severity of the consequences of road traffic accidents. Operating speed can be defined, among other things, as the actual speed at which the largest number of road users drive in conditions of free traffic flow. It can be measured on existing roads, however, on newly designed roads it can only be predicted. For this reason, many researchers have examined the correlation between the elements of the road as well as its surroundings and operating speed. By determining the correlation, models for predicting operating speed
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Nabil, Farah, H. N. Talib M., Ibrahim Z., et al. "Analysis and investigation of different advanced control strategies for high-performance induction motor drives." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 6 (2020): 3303~3314. https://doi.org/10.12928/TELKOMNIKA.v18i6.15342.

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Induction motor (IM) drives have received a strong interest from researchers and industry particularly for high-performance AC drives through vector control method. With the advancement in power electronics and digital signal processing (DSP), high capability processors allow the implementation of advanced control techniques for motor drives such as model predictive control (MPC). In this paper, design, analysis and investigation of two different MPC techniques applied to IM drives; the model predictive torque control (MPTC) and model predictive current control (MPCC) are presented. The two te
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Richl, Laurel, and Tarek Sayed. "Effect of speed prediction models and perceived radius on design consistency." Canadian Journal of Civil Engineering 32, no. 2 (2005): 388–99. http://dx.doi.org/10.1139/l04-103.

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The most frequently used criteria to evaluate design consistency are the difference between design speed and operating speed, operating speeds on successive elements, and assumed side friction of the road and that demanded by the driver. The operating speed, often obtained using speed prediction models, influences each design consistency criteria. There has been considerable research in developing design consistency measures and evaluation tools, but little research has been done on the influence that different speed prediction models have on design consistency criteria. In addition, there has
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Yan, Ying, Gengping Li, Jinjun Tang, and Zhongyin Guo. "A Novel Approach for Operating Speed Continuous Predication Based on Alignment Space Comprehensive Index." Journal of Advanced Transportation 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/9862949.

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Operating speed is a critical indicator for road alignment consistency design and safety evaluation. Although extensive studies have been conducted on operating speed prediction, few models can finish practical continuous prediction at each point along alignment on multilane highways. This study proposes a novel method to estimate the operating speed for multilane highways in China from the aspect of the three-dimensional alignment combination. Operating speed data collected in field experiments on 304 different alignment combination sections are detected by means of Global Positioning System.
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Domingo, E. Delgado Martínez, Medina García Liosber, M. Ulate Zárate José, and A. García Depestre René. "Speed profile prediction model of rural roads in flat terrain in Costa Rica." Enfoque UTE 12, no. 2 (2021): 52–68. https://doi.org/10.29019/enfoqueute.732.

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For some time, a commonly used engineering practice has been to evaluate the influence of the geometric design of roads on road safety by analyzing geometric design consistency. When evaluating geometric design consistency, it is necessary to know the operating speed profiles of the road to be analyzed. To this end, a variety of models of operating speed profiles are used, which are designed for the specific conditions of a particular region or country. For any analysis of highway geometric design, it is important to have information related to the horizontal and vertical layout of the project
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San Andres, Luis, Juan Carlos Rivadeneira, Kostandin Gjika, Christopher Groves, and Gerry LaRue. "Rotordynamics of Small Turbochargers Supported on Floating Ring Bearings—Highlights in Bearing Analysis and Experimental Validation." Journal of Tribology 129, no. 2 (2006): 391–97. http://dx.doi.org/10.1115/1.2464134.

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Turbochargers (TCs) improve performance in internal combustion engines. Due to low production costs, TC assemblies are supported on floating ring bearings (FRBs). TCs show subsynchronous motions of significant amplitudes over a wide speed range. However, the subsynchronous whirl motions generally reach a limit cycle enabling continuous operation. The paper advances progress on the validation against measurements of linear and nonlinear rotordynamic models for predicting shaft motions of automotive TCs. A comprehensive thermohydrodynamic model predicts the floating ring speeds, inner and outer
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Tarris, Joseph P., John M. Mason, and Nicholas D. Antonucci. "Geometric Design of Low-Speed Urban Streets." Transportation Research Record: Journal of the Transportation Research Board 1701, no. 1 (2000): 95–103. http://dx.doi.org/10.3141/1701-12.

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A research effort is progressing to develop a rational process for designing roadway geometric elements on low-speed urban streets and using a “target”operating speed as the preselected design speed. The goal is to provide geometric street designs that reflect the in situ operating environment (form to follow function). Such an approach produces geometric conditions that result in operating speeds that are consistent with driver expectations and commensurate with the function and purpose of the roadway. The data collection methodology being used to develop a speed-prediction model between oper
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Russo, Francesca, and Salvatore Antonio Biancardo. "COUNTERMEASURES TO IMPROVE ROAD ALIGNMENT CONSISTENCY OF UNDIVIDED RURAL ROADS." Baltic Journal of Road and Bridge Engineering 12, no. 4 (2017): 211–17. http://dx.doi.org/10.3846/bjrbe.2017.26.

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The research aims to assess the relationships between the crash rates and road consistency. Design consistency assessment is a tool employed by designers to improve road safety. The case study involved a rural two-lane two-way road in Southern Italy located on a flat terrain without spiral transition curves between tangent segments and circular curves. Road alignment consistency was examined in two steps: by adopting standards in force in Italy based on the design speed profile and by plotting operating speed profile to determine the area bounded by the speed profile and the average weighted s
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Xie, Shao Bo, and Lang Wei. "Application of Elman Neural Networks to Predict Truck’s Operating Speed." Advanced Materials Research 694-697 (May 2013): 2846–49. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2846.

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Prediction of vehicular operating speed is critical to evaluate the design consistency of road alignment. Elman neural networks are proposed to predict the truck’s 85th percentile operating speed. A total of 190 samples are collected from the two-lane rural roads and two factors are considered as input variables to the model including the curve radius and longitudinal slope. 100 samples are applied for training the networks to get the prediction model and the other 90 samples are used for the model validation. Additionally, the Elman neural networks are compared with back-propagation neural ne
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Wang, Zhen Bo, Shu Zhi Li, and Liang Zhang. "High-Speed Machining Time Model Prediction of Combination Framework Based on BP Neutral Network." Materials Science Forum 800-801 (July 2014): 296–99. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.296.

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The process parameter prediction and analysis of high-speed NC machining of cast aluminum combination framework is one of the important research directions of mechanical processing. In order to make sure predicting the high-speed NC machining parameters of cast aluminum framework while machining、improve production efficiency、reduce the requirement for machine tool accuracy and technology level of operating personnel, established high-speed NC machining system time forecast model of combination framework applying BP neural network, doing corresponding verification of high-speed NC machining pro
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Dissertations / Theses on the topic "Operating speed prediction model"

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Gong, Huafeng. "OPERATING SPEED PREDICTION MODELS FOR HORIZONTAL CURVES ON RURAL FOUR-LANE NON-FREEWAY HIGHWAYS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_diss/562.

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One of the significant weaknesses of the design speed concept is that it uses the design speed of the most restrictive geometric element as the design speed of the entire road. This leads to potential inconsistencies among successive sections of a road. Previous studies documented that a uniform design speed does not guarantee consistency on rural two-lane facilities. It is therefore reasonable to assume that similar inconsistencies could be found on rural four-lane non-freeway highways. The operating speed-based method is popularly used in other countries for examining design consistency. Num
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Øyan, Espen. "Speed and powering prediction for ships based on model testing." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18656.

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The ITTC78 method was originally designed for conventional single screw ships, but has later been modified to adapt twin screw ships and podded propulsors. Nowadays even more unconvensional propulsors are introduced, and the need for a new powering performance method is increasing. This thesis covers the load varying self propulsion method, and looks into how this corresponds to the standard ITTC78 method. The load varying method uses data from a self propusion test only, and uses a predefined increment value to change the revolutions during each run. In this way there are no need for an open
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DINIZ, PEDRO HENRIQUE FONSECA DA SILVA. "A SPATIO-TEMPORAL MODEL FOR AVERAGE SPEED PREDICTION ON ROADS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26541@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Muitos fatores podem in uenciar a velocidade de um veículo numa rodovia ou estrada, mas dois deles são observados diariamente pelos motoristas: sua localização e o momento do dia. Obter modelos que retornem a velocidade média como uma função do espaço e do tempo é ainda uma tarefa desafiadora. São muitas as aplicações para esses tipos de modelos, como por exemplo: tempo estimado de chegada, caminho mais curto e previsão de tráfico, deteccção
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Gorjian, Nima. "Asset health prediction using the explicit hazard model." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/57314/1/Nima_Gorjian_Jolfaei_Thesis.pdf.

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The ability to estimate the asset reliability and the probability of failure is critical to reducing maintenance costs, operation downtime, and safety hazards. Predicting the survival time and the probability of failure in future time is an indispensable requirement in prognostics and asset health management. In traditional reliability models, the lifetime of an asset is estimated using failure event data, alone; however, statistically sufficient failure event data are often difficult to attain in real-life situations due to poor data management, effective preventive maintenance, and the small
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Moubarak, Roger. "Wind Speed Prediction using Global and Regional Based Virtual Towers in CFD Simulations." Thesis, Högskolan på Gotland, Institutionen för kultur, energi och miljö, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-217093.

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Wind farm assessment is a costly and time consuming process when it is planned by traditional methods such as a met mast. Therefore, new models have been established and used for the wind farm assessment to ease the process of wind farm planning. These models are Global-regional models which add to cost efficiency and time saving. There are several types of these models in the market that have different accuracy. This thesis discusses and uses in simulations Global – regional model data outputs from European Centre for Medium-Range Weather Forecasts (ECMWF), Weather Research Forecast WRF and E
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Hausberger, Thomas [Verfasser]. "Nonlinear High-Speed Model Predictive Control with Long Prediction Horizons for Power-Converter Systems / Thomas Hausberger." Düren : Shaker, 2021. http://d-nb.info/1233548271/34.

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Lestoille, Nicolas. "Stochastic model of high-speed train dynamics for the prediction of long-time evolution of the track irregularities." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1094/document.

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Les voies ferrées sont de plus en plus sollicitées: le nombre de trains à grande vitesse, leur vitesse et leur charge ne cessent d'augmenter, ce qui contribue à la formation de défauts de géométrie sur la voie. En retour, ces défauts de géométrie influencent la réponse dynamique du train et dégradent les conditions de confort. Pour garantir de bonnes conditions de confort, les entreprises ferroviaires réalisent des opérations de maintenance de la voie, qui sont très coûteuses. Ces entreprises ont donc intérêt à prévoir l'évolution temporelle des défauts de géométrie de la voie pour anticiper l
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Camacho, Torregrosa Francisco Javier. "DEVELOPMENT AND CALIBRATION OF A GLOBAL GEOMETRIC DESIGN CONSISTENCY MODEL FOR TWO-LANE RURAL HIGHWAYS, BASED ON THE USE OF CONTINUOUS OPERATING SPEED PROFILES." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48543.

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Road safety is one of the most important problems in our society. It causes hundreds of fatalities every year worldwide. A road accident may be caused by several concurrent factors. The most common are human and infrastructure. Their interaction is important too, which has been studied in-depth for years. Therefore, there is a better knowledge about the driving task. In several cases, these advances are still not included in road guidelines. Some of these advances are centered on explaining the underlying cognitive processes of the driving task. Some others are related to the analysis o
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Logins, Andris. "High speed milling technological regimes, process condition and technological equipment condition influence on surface quality parameters of difficult to cut materials." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/164122.

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[ES] La calidad superficial en las piezas mecanizadas depende del acabado superficial, resultado de las marcas dejadas por la herramienta durante el proceso de corte. Las aproximaciones teóricas tradicionales indican que estas marcas están relacionadas con los parámetros de corte (velocidad de corte, avance, profundidad de corte...), el tipo de máquina, el material de la pieza, la geometría de la herramienta, etc. Pero no todos los tipos de mecanizado y selección de materiales pueden dar un resultado ambiguo. Hoy en día, de manera progresiva, se están utilizando las técnicas de fresado de Alta
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Nordström, Erik. "Advanced Modelling and Energy Efficiency Prediction for Road Vehicles." Thesis, Umeå universitet, Institutionen för fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175358.

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This thesis presents a first real world case-study of road transport operations that use the COVER format, in which the driver and the vehicle are regarded as separate entities. This format enables a complex representation of the transport operation that potentially better describe reality compared to the conventional representation used in today’s certification tools. The representation of operations treated in this thesis is called Operating Cycles and has been used to fully describe three representative transport missions from a case-study truck. Stochastically generated operating cycles ha
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Books on the topic "Operating speed prediction model"

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Schulz, William J. Wind speed and moisture sensitivity tests of the NRL limited area dynamical weather prediction model: An OSSE study of ERICA IOP-4. Naval Postgraduate School, 1992.

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Bogumil, Veniamin, and Sarango Duke. Telematics on urban passenger transport. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.

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The monograph discusses the application of telematics in dispatch control systems in urban passenger transport. The role of telematics as a technological basis in automating the solution of control tasks, accounting and analysis of the volume and quality of transport work in modern dispatch control systems on urban passenger transport is shown. Analytical models have been developed to estimate the capacity of a high-speed bus transportation system on a dedicated line. Mathematical models and algorithms for predicting passenger vehicle interior filling at critical stages of urban passenger tran
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Maniotis, Spyridon. Industrializing Financial Services with DevOps: Proven 360° DevOps Operating Model Practices for Enabling a Multi-Speed Bank. Packt Publishing, Limited, 2022.

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Gerstenberg, Tobias, and Joshua B. Tenenbaum. Intuitive Theories. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.28.

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This chapter first explains what intuitive theories are, how they can be modeled as probabilistic, generative programs, and how intuitive theories support various cognitive functions such as prediction, counterfactual reasoning, and explanation. It focuses on two domains of knowledge: people’s intuitive understanding of physics, and their intuitive understanding of psychology. It shows how causal judgments can be modeled as counterfactual contrasts operating over an intuitive theory of physics, and how explanations of an agent’s behavior are grounded in a rational planning model that is invert
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Book chapters on the topic "Operating speed prediction model"

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Mohamed, Nadiah, Norliana Sulaiman, Muhammad Akram Adnan, and Jezan Md Diah. "Validation of Operating Speed Prediction Model for Horizontal Curve with Established Models." In InCIEC 2015. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0155-0_77.

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Shindo, Yuhei, Kazuhiko Adachi, Satoshi Kawasaki, and Mitsuru Shimagaki. "Modal Analysis of a High-Speed Turbomachinery for Reliable Prediction of RD Properties Throughout Operating Speed Range." In Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12935-4_7.

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Bustos, Alejandro, Higinio Rubio, Cristina Castejon, Enrique Soriano-Heras, and Juan Carlos Garcia-Prada. "Towards Digitalizing Rolling Stock Maintenance." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_61.

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AbstractThe advent of Industry 4.0 has revolutionised the way in which all aspects of a product or service are approached, and the railway sector is moving toward the adoption of this new paradigm. Maintenance in railways is traditionally based on a preventive approach that replaces parts at regular intervals or when a failure occurs. However, the 4.0 revolution implies the use of new strategies based on condition monitoring and predictive maintenance for moving towards Maintenance 4.0. In this work, the creation of a digital twin that helps in the adoption of new technologies is established.
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Hamad, Hassan, and Emanuele Sacchi. "Operating Speed Prediction Models for Urban Streets in Residential Areas: A Case Study in the City of Saskatoon." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1065-4_1.

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Carmona, Juan Carlos, Raúl Atienza, Raúl Redondo, and José R. Iribarren. "Grounding Risk Estimation in Inland Navigation with Monte Carlo Simulations and Squat Estimation." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_38.

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AbstractIn inland ports, where access is done navigating along an estuary, river or artificial canal, the operation may be strongly conditioned by the tide (in case it has enough wide run) or the water level in the river. The variations in water level imply restrictions on the draft of the vessels that can access such ports.Siport21 has been working for several years in ports of these characteristics, where there is no possibility to dredge the inland waterway. The alternative is to develop synchronization analysis tools, which allow identifying the “operational windows” and maximizing the dra
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Jinji, Naoto, Xingyuan Zhang, and Shoji Haruna. "Trade Patterns and International Technology Spillovers: Theory and Evidence from Japanese and European Patent Citations." In Advances in Japanese Business and Economics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5210-3_5.

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AbstractInternational diffusion of knowledge is important to both the speed of the world’s technology frontier expansion and income convergence across countries. For example, Eaton and Kortum (1996) estimate innovation and technology diffusion among 19 Organization for Economic Co-operation and Development (OECD) countries to test predictions from a quality ladders model of endogenous growth with patenting.
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Liu, Jianbei. "Operating Speed Model of Freeway in High Altitude Areas." In Technical Indicators and Safety Design of Freeway in High Altitude Area. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0620-8_5.

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Lee, Junghoon, Gyung-Leen Park, and Eel-Hwan Kim. "Development of Wind Speed Prediction Model in Jeju City." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35248-5_4.

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Liu, Zhiyuan, Yan Li, Zhanmou Xu, et al. "Recognition Method for Train Coupler Handle Based on YOLOv5 Model." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_88.

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AbstractTo solve the problem of identifying different types of car couplers during the operation of the automatic uncoupling robot of a tippler, a method for recognizing the handle of a car coupler based on the YOLOv5 model has been proposed. This method selects YOLOv5n, which is relatively simple in the YOLOv5 series, as the benchmark model for the detection network. The overall structure is more concise, effectively reducing the number of model parameters while ensuring detection accuracy. The YOLOv5n model used for feature extraction and target recognition on two types of coupler datasets:
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Joseph, Neena M., M. Harikrishna, M. V. L. R. Anjaneyulu, and IceyElzen Mathew. "Operating Speed Prediction of Vehicles at Combined Curves Using Mixed Effect Modeling Approach." In Recent Advances in Transportation Systems Engineering and Management. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2273-2_49.

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Conference papers on the topic "Operating speed prediction model"

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Ma, Yingying, Meng Tang, and Yuanqi Xie. "Urban road operating speed prediction model based on IPSO-BiLSTM." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054767.

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Buccio, Angela, Joseph Schmaus, Loren Ahaus, Matthew Hill, and Hong Xin. "Lichten Winner: Modeling Unsteady Aerodynamics in RCAS for High-Speed Rotor Aeroelastic Applications." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-209.

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Aeroelastic stability prediction is critical to the successful design, development and flight testing of rotorcraft. As configurations reach higher speeds, new challenges in high Mach number unsteady aerodynamic modeling need to be addressed, especially for higher frequency aeroelastic modes with significant coupling. In this paper, Linear Unsteady aerodynamics and Leishman-Beddoes attached flow models are applied and compared to 2D CFD (airfoil) and 3D CFD/CSD (rotor) analysis for operating conditions of interest. The Leishman-Beddoes model demonstrates improved agreement with CFD data. In th
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Xia, Liguo, Jian Lu, and Yongfeng Ma. "Vehicle Operating Speed Prediction Model on Freeway Exit Ramp." In Inernational Conference of Logistics Engineering and Management 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412602.0064.

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Guo, Zhongyin, Xiaohuan Zhou, Yin Yan, Qiang Zhang, and Yue Chen. "Operating Speed Prediction Model Based on Highway Alignment Spacial Geometric Properties." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)104.

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Alkaissi, Z. A., and S. T. Ayob. "Prediction model for operating speed on urban roads in Baghdad city." In SECOND INTERNATIONAL CONFERENCE ON INNOVATIONS IN SOFTWARE ARCHITECTURE AND COMPUTATIONAL SYSTEMS (ISACS 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0162940.

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Esposito, Tommaso, Raffaele Mauro, Francesca Russo, and Gianluca Dell'Acqua. "Operating Speed Prediction Models for Sustainable Road Safety Management." In International Conference on Sustainable Design and Construction (ICSDC) 2011. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/41204(426)87.

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Yan Ying and Zhang Yu-hui. "Operating speed prediction model and systems of highway based on space compound curvature." In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5656903.

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Chen, Tao, and Lang Wei. "A Review of Prediction Models on Operating Speed for Highways." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)35.

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Yang, Lifang, Xiaowei He, and Fanyu Meng. "Research on Model of Noise Prediction of High-Speed Train by SEA Method." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89162.

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China’s rapid development of high-speed train has been in the research spotlight over the years; this paper presents a method to predict the transmission of aerodynamic noise and rail noise inside train compartments for high-speed trains operating at speeds larger than 200 km/h. The numerical tool could be used in parameter studies for noise control. In order to develop the noise prediction model of high speed train, the noise source of high-speed train is analyzed. Based on the noise analysis, the SEA model is built. Due to the small noise difference in one train car, the SEA model is divided
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Chen, Xiufeng, Sanbing Liu, Hongguo Xu, and Yan Yan. "Model predicting the operating speed of passenger car on mountain slope." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199429.

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Reports on the topic "Operating speed prediction model"

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Konsam, Manis Kumar, Amanda Thounajam, Prasad Vaidya, Gopikrishna A, Uthej Dalavai, and Yashima Jain. Machine Learning-Enhanced Control System for Optimized Ceiling Fan and Air Conditioner Operation for Thermal Comfort. Indian Institute for Human Settlements, 2024. http://dx.doi.org/10.24943/mlcsocfacotc6.2023.

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This paper proposes and tests the implementation of a sustainable cooling approach that uses a machine learning model to predict operative temperatures, and an automated control sequence that prioritises ceiling fans over air conditioners. The robustness of the machine learning model (MLM) is tested by comparing its prediction with that of a straight-line model (SLM) using the metrics of Mean Bias Error (MBE) and Root Mean Squared Error (RMSE). This comparison is done across several rooms to see how each prediction method performs when the conditions are different from those of the original ro
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Bajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R01 Residual Gas Fraction Estimation Based on Measured In-Cylinder Pressure. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011519.

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Developing a reliable means of predicting and controlling engine operation at various operating conditions may be a reasonable pathway for meeting increasingly stringent engine emission regulations. In order to do so, estimates of the mixture composition at the end of the gas exchange process (i.e. at exhaust port closure, or EPC) are helpful for having accurate models of engine combustion. A substantial fraction of the trapped charge mixture is composed of residual gases from previous cycles. This fraction, the trapped residual fraction, changes combustion characteristics of the trapped mixtu
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Shaver, Greg, and Miles Droege. Develop and Deploy a Safe Truck Platoon Testing Protocol for the Purdue ARPA-E Project in Indiana. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317314.

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Hilly terrain poses challenges to truck platoons using fixed set speed cruise control. Driving the front truck efficiently on hilly terrain improves both trucks fuel economies and improves gap maintenance between the trucks. An experimentally-validated simulation model was used to show fuel savings for the platoon of 12.3% when the front truck uses long horizon predictive cruise control (LH-PCC), 8.7% when the front truck uses flexible set speed cruise control, and only 1.2% when the front truck uses fixed set speed cruise control. Purdue, Peloton, and Cummins have jointly configured two Peter
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Cheng and Wang. L52025 Calibration of the PRCI Thermal Analysis Model for Hot Tap Welding. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0010298.

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In-service welding is a common industrial practice for both maintenance and repair purpose. Its applications include, but not limited to repair of pipeline damages caused by construction or corrosion, and hot tap welding used to add branch connections to existing pipelines. In-service welding enables maintaining and repairing pipelines without removing them from service. Such welding operations generate significant economic and environmental benefits, for example, no interruption of pipeline operations and no venting of pipeline contents. One of the common problems associated with in-service w
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Rudland. L52245 Improvements to the Two Curve Ductile Fracture Model - Soil-Elastic and Plastic Contributions. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0010625.

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The most commonly used fracture analyses procedure for the prediction of minimum arrest toughness and fracture speed for axially running cracks in line pipe materials for natural gas transmission pipeline applications is the Battelle Two-Curve approach. This analysis procedure incorporates the gas-decompression behavior with the fracture toughness of the pipe material to predict the minimum Charpy energy required for crack arrest. For this model, the effect of backfill on the propagating crack fracture speeds is lumped into one empirically based �backfill coefficient,� which does not distingui
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Bruce. L51942 Refinement of Cooling Rate Prediction Methods for In-Service Welds. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0010435.

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Welds made onto in-service pipeline are particularly susceptible to hydrogen cracking because of the fast weld cooling rates that tend to result from the ability of the flowing contents to remove heat from the pipe wall. The most commonly used procedures for controlling the risk of hydrogen cracking rely on the use of a sufficiently high heat input level. Two methods currently exist for predicting required heat input levels for welds made onto in-service pipelines: thermal analysis computer modeling and the heat-sink capacity measurement method. The objective of this project was to refine thes
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Jacobs, Timothy, and Jacob Hedrick. PR-457-14201-R03 Variable NG Composition Effects in LB 2S Compressor Engines - Prediction Enhancement. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0011406.

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Phase II of the project has focused on improving the initial analysis performed in the first phase by enhancing the various aspects of predictive combustion for lean burn spark ignition natural gas engines under variable composition fueling. These enhancements have incorporated validation data from a Cooper-Bessemer GMVH-10C3 engine located in New Jersey, which improves upon the lack of field data to bound the scope of composition variation. In simulation related endeavors, effort was made to improve the fundamental combustion physics related parameters, namely laminar flame speed, by developi
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Holzenthal, Elizabeth, and Bradley Johnson. Comparison of run-up models with field data. Engineer Research and Development Center (U.S.), 2024. https://doi.org/10.21079/11681/49470.

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Run-up predictions are inherently uncertain, owing to ambiguities in phase-averaged models and inherent complexities of surf and swash-zone hydrodynamics. As a result, different approaches, ranging from simple algebraic expressions to computationally intensive phase-resolving models, have been used in attempt to capture the most relevant run-up processes. Studies quantifiably comparing these methods in terms of physical accuracy and computational speed are needed as new observation technologies and models become available. The current study tests the capability of the new swash formulation of
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Leis. L51865 Hydrotest Parameters to Help Control High-pH SCC on Gas Transmission Pipelines. Pipeline Research Council International, Inc. (PRCI), 1999. http://dx.doi.org/10.55274/r0010208.

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This report develops and validates a probabilistic model for high pH SCC on pipelines that can help operators to: quantify the condition of susceptible transmission pipelines assess the efficiency of controls for such SCC based on after coolers and periodic hydrostatic re-testing identify, evaluate, and control the related risks· prioritize rehabilitation to avoid in-service incidents. The probabilistic model is an adaptation of a first-generation model for high pH SCC known as the Stress-Corrosion Cracking Life Prediction Model, (SCCLPM). Its validation follows from the close match between si
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Bajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R03 Residual Gas Fraction Estimation Based on Measured In-Cylinder Pressure - Phase III. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0011996.

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An experimental study was carried out to characterize the scavenging behavior of a cross-scavenged, piston-aspirated, two-stroke, natural gas engine to aid in the development of computationally inexpensive simple scavenging models for onboard engine control by (1) studying the effects of changing operational parameters on the engine's scavenging performance, and (2) identifying the underlying phenomena driving the observed effects. Tracer based methods were used to quantify the scavenging and trapping performance of the engine - CO2 was used as a tracer for combustion products and pre-mixed fu
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