Relevant bibliographies by topics / Transportation Statistical methods

Academic literature on the topic 'Transportation Statistical methods'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Transportation Statistical methods"

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Baboş, Alina. "Statistical Methods for Solving Transportation Problems." International conference KNOWLEDGE-BASED ORGANIZATION 25, no. 2 (June 1, 2019): 10–13. http://dx.doi.org/10.2478/kbo-2019-0049.

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Abstract Transportation problem is one of the models of Linear Programming problem. It deals with the situation in which a commodity from several sources is shipped to different destinations with the main objective to minimize the total shipping cost. There are three well-known methods namely, North West Corner Method Least Cost Method, Vogel’s Approximation Method to find the initial basic feasible solution of a transportation problem. In this paper, we present some statistical methods for finding the initial basic feasible solution. We use three statistical tools: arithmetic and harmonic mean and median. We present numerical examples, and we compare these results with other classical methods.
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Coburn, Timothy C. "Statistical and Econometric Methods for Transportation Data Analysis." Technometrics 46, no. 4 (November 2004): 492–93. http://dx.doi.org/10.1198/tech.2004.s238.

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Cullinane, Kevin. "Statistical and Econometric Methods for Transportation Data Analysis." Maritime Economics & Logistics 6, no. 2 (June 2004): 187–89. http://dx.doi.org/10.1057/palgrave.mel.9100102.

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Gerasina, Tatiana, Alexey Zarubin, and Oxana Zarubina. "Statistical methods for monitoring the operation of cathodic protection stations." E3S Web of Conferences 121 (2019): 01004. http://dx.doi.org/10.1051/e3sconf/201912101004.

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This article is a result of the research on the methods to monitor the operation of cathodic protection stations. This study presents the experimental data analysis of the work of cathodic protection stations was carried out by the transportation company with measurements for two quarters. Statistical analysis realized on the basis of Shewhart control charts.
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Sudakov, Vladimir Anatolievich, and Maksim Aleksandrovich Timofeev. "Air traffic forecasting using statistical analysis and machine learning methods." Keldysh Institute Preprints, no. 70 (2022): 1–14. http://dx.doi.org/10.20948/prepr-2022-70.

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The paper considers current methods for forecasting time series on the example of domestic and international transportation of the Russian Federation in recent years, taking into account the influence of external factors. Models were developed using autoregressive moving average and using gradient boosting. The possibility of using data on COVID-19 diseases for forecasting was investigated.
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Bagdonienė, Danutė. "SOME METHODS OF IMPROVING FREIGHT TRANSPORTATION IN SHORT HAULS." TRANSPORT 18, no. 1 (February 28, 2003): 9–12. http://dx.doi.org/10.3846/16483840.2003.10414056.

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The results obtained in the investigation aimed to improve the transportation of commercial freight for short hauls in the city are presented. The performed tasks included the statistical analysis of freight flows; the forecast of the freight flows; a synthesis of a topological stmcture of the urban system of freight transportation and the description of the optimal structure of the truck stock. The conclusions have also been drawn and some recommendations provided.
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Sumathi, P., and C. V. Sathiya Bama. "A Tactical Strategy in Transportation Problems Using Statistical Process." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 473. http://dx.doi.org/10.14419/ijet.v7i4.10.21043.

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In this paper, a new algorithm is projected for finding initial basic feasible solution (IBFS) using average and also compared various methods of transportation problems. The proposed approach is also discussed with various numerical problems.
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Schürmann, C., B. Griefahn, and S. Kuhnt. "Annoyance from Multiple Transportation Noise: Statistical Models and Outlier Detection." Methods of Information in Medicine 43, no. 05 (2004): 510–15. http://dx.doi.org/10.1055/s-0038-1633908.

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Summary Objective: Statistical models for the annoyance from multiple transportation noise are needed to understand and predict the annoyance resulting from specific noise exposures. Methods: Models from the class of generalized linear models are suggested and discussed. Observations which are not well explained by the considered model are regarded as outliers. Outlier detection methods are applied to the data modelled by robust estimates using different link functions. Results: The discussed methods are applied to data from a laboratory experiment using generalized linear models. While considering outliers, a generalized linear model with a complementary log-log link is found to be a good choice in modelling the exposure-response relationship between noise levels and annoyance.
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Karlaftis, M. G., and E. I. Vlahogianni. "Statistical methods versus neural networks in transportation research: Differences, similarities and some insights." Transportation Research Part C: Emerging Technologies 19, no. 3 (June 2011): 387–99. http://dx.doi.org/10.1016/j.trc.2010.10.004.

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Tudorica, Daniela. "A Comparative Analysis of Various Methods of Gas, Crude Oil and Oil Derivatives Transportation." International Journal of Sustainable Economies Management 3, no. 1 (January 2014): 16–25. http://dx.doi.org/10.4018/ijsem.2014010102.

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This paper contains a comparative analysis of the various methods used for gas, crude oil and oil gaseous and liquid derivatives. The analysis is made in terms of quality, efficiency and safety criteria. Historical and statistical data is provided in order to support the conclusions of the paper: transportation via pipeline is the most efficient and safe method for the transportation of such products.
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Dissertations / Theses on the topic "Transportation Statistical methods"

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Uddin, Mohammad Moin. "ROBUST STATISTICAL METHODS FOR NON-NORMAL QUALITY ASSURANCE DATA ANALYSIS IN TRANSPORTATION PROJECTS." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_diss/153.

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The American Association of Highway and Transportation Officials (AASHTO) and Federal Highway Administration (FHWA) require the use of the statistically based quality assurance (QA) specifications for construction materials. As a result, many of the state highway agencies (SHAs) have implemented the use of a QA specification for highway construction. For these statistically based QA specifications, quality characteristics of most construction materials are assumed normally distributed, however, the normality assumption can be violated in several forms. Distribution of data can be skewed, kurtosis induced, or bimodal. If the process shows evidence of a significant departure from normality, then the quality measures calculated may be erroneous. In this research study, an extended QA data analysis model is proposed which will significantly improve the Type I error and power of the F-test and t-test, and remove bias estimates of Percent within Limit (PWL) based pay factor calculation. For the F-test, three alternative tests are proposed when sampling distribution is non-normal. These are: 1) Levene’s test; 2) Brown and Forsythe’s test; and 3) O’Brien’s test. One alternative method is proposed for the t-test, which is the non-parametric Wilcoxon - Mann – Whitney Sign Rank test. For PWL based pay factor calculation when lot data suffer non-normality, three schemes were investigated, which are: 1) simple transformation methods, 2) The Clements method, and 3) Modified Box-Cox transformation using “Golden Section Search” method. The Monte Carlo simulation study revealed that both Levene’s test and Brown and Forsythe’s test are robust alternative tests of variances when underlying sample population distribution is non-normal. Between the t-test and Wilcoxon test, the t-test was found significantly robust even when sample population distribution was severely non-normal. Among the data transformation for PWL based pay factor, the modified Box-Cox transformation using the golden section search method was found to be the most effective in minimizing or removing pay bias. Field QA data was analyzed to validate the model and a Microsoft® Excel macro based software is developed, which can adjust any pay consequences due to non-normality.
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Grotbo, Jeremy. "The "ADaM Cube" : Categorizing Portland, Oregon's Urbanization Using GIS and Spatial Statistics." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/3002.

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Transportation availability and land use intensity demonstrate a strong relationship, with intense development concentrated near significant transportation investment. Transportation networks evolved in response to emergent transportation technologies and changing urban land uses. The irregular distribution of transportation systems reinforced patterns of land use development, shaping urban form. Understanding the relationships between transportation and the intensity of land uses allows urban geographers and city planners to explain the urbanization processes, as well as to identify areas historically susceptible to future development. The goal of this research is to develop a quantitative framework for the analysis of the development of urban form and its relationship to urban transportation systems. This research focuses on transportation accessibility, building density, and the structural massing as the basic metrics in the categorization of urban form. Portland, Oregon serves as the case study environment, while the research methodology examines the spatial and statistical relationship between these metrics for much of the city's urban area. Applying geographic information systems (GIS) and k-means cluster analysis, urban form metrics are compared within the ADaM (Accessibility, Density, and Massing) cube, a model demonstrating comparative relationships, as well as the geographic distribution and patterns of urban form in Portland, Oregon's neighborhoods. A finalized urban form catalog describes existing urban environments, but also indicates areas of impending transition, places having the strong potential for reorganization with respect to higher levels of transportation accessibility. The ADaM Cube is a tool for characterizing Portland's existing urban form, and describing the vulnerabilities of urban neighborhoods to the pressure of redevelopment.
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Dai, Chengxin. "Exploring Data Quality of Weigh-In-Motion Systems." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1018.

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This research focuses on the data quality control methods for evaluating the performance of Weigh-In-Motion (WIM) systems on Oregon highways. This research identifies and develops a new methodology and algorithm to explore the accuracy of each station's weight and spacing data at a corridor level, and further implements the Statistical Process Control (SPC) method, finite mixture model, axle spacing error rating method, and data flag method in published research to examine the soundness of WIM systems. This research employs the historical WIM data to analyze sensor health and compares the evaluation results of the methods. The results suggest the new triangulation method identified most possible WIM malfunctions that other methods sensed, and this method unprecedentedly monitors the process behavior with controls of time and meteorological variables. The SPC method appeared superior in differentiating between sensor noises and sensor errors or drifts, but it drew wrong conclusions when accurate WIM data reference was absent. The axle spacing error rating method cannot check the essential weight data in special cases, but reliable loop sensor evaluation results were arrived at by employing this multiple linear regression model. The results of the data flag method and the finite mixed model results were not accurate, thus they could be used as additional tools to complement the data quality evaluation results. Overall, these data quality analysis results are the valuable sources for examining the early detection of system malfunctions, sensor drift, etc., and allow the WIM operators to correct the situation on time before large amounts of measurement are lost.
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Lee, Tomie J., and Elliot Nordin. "USING SIMULATION AS AN ADVANCED TESTING METHOD : A study to improve a transportation service of an event-based system." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19593.

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Today in a modern society the pace is high and the need for flexibility and mobilityis big. Despite the increasing access and great digital solutions for online-meetings,the need for short distance transportation remains. With an increasing number ofeasy-to-use mobile applications, the many offered solutions for personal transporta-tion have in the last few years expanded. Besides the effect of an increasing pressureof road space, the pressure on the transportation solutions has escalated. This is the current situation of the company we came in contact with. Their currenttravel service provides on-demand transportation in small electric, emission free andchauffeur driven vehicles they call pods. As a step of claiming their space in thetransportation sector they are developing their application letting customers planand book a transport. For the ability to test their new booking solution this project took form. With asimulation it would be possible to test the various probabilities of a travel outcome.The aim was to develop a simulation software, simulating the events of multipletravels taking place in the system. With the simulation it would be possible to eval-uate the configuration for the booking feature, analyse how it works with the rest ofthe system and to help the company to predict how the intensity of customers in re-lations to the number of available drivers would affect the outcome of a travel request. The project covered the study of how to interpret the factors, that a transportationdirectly depends on, into events in the system and how to use historical events tocreate probabilities of the simulation outcome. The simulator software was not suc-cessful with simulating multiple rides as intended, but parts of the software could beevaluated in relation to historical events. Statistical models were built using aggre-gated events from the system. When comparing the average result of the statisticalmodels with the historical event count of the system, it resulted in an outcomewithin an acceptable range. This shows that it was possible to use aggregated his-torical events to create probabilities and that these probabilities were reliable.
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Xu, Yanzhi. "Effective GPS-based panel survey sample size for urban travel behavior studies." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33843.

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This research develops a framework to estimate the effective sample size of Global Positioning System (GPS) based panel surveys in urban travel behavior studies for a variety of planning purposes. Recent advances in GPS monitoring technologies have made it possible to implement panel surveys with lengths of weeks, months or even years. The many advantageous features of GPS-based panel surveys make such surveys attractive for travel behavior studies, but the higher cost of such surveys compared to conventional one-day or two-day paper diary surveys requires scrutiny at the sample size planning stage to ensure cost-effectiveness. The sample size analysis in this dissertation focuses on three major aspects in travel behavior studies: 1) to obtain reliable means for key travel behavior variables, 2) to conduct regression analysis on key travel behavior variables against explanatory variables such as demographic characteristics and seasonal factors, and 3) to examine impacts of a policy measure on travel behavior through before-and-after studies. The sample size analyses in this dissertation are based on the GPS data collected in the multi-year Commute Atlanta study. The sample size analysis with regard to obtaining reliable means for key travel behavior variables utilizes Monte Carlo re-sampling techniques to assess the trend of means against various sample size and survey length combinations. The basis for the framework and methods of sample size estimation related to regression analysis and before-and-after studies are derived from various sample size procedures based on the generalized estimating equation (GEE) method. These sample size procedures have been proposed for longitudinal studies in biomedical research. This dissertation adapts these procedures to the design of panel surveys for urban travel behavior studies with the information made available from the Commute Atlanta study. The findings from this research indicate that the required sample sizes should be much larger than the sample sizes in existing GPS-based panel surveys. This research recommends a desired range of sample sizes based on the objectives and survey lengths of urban travel behavior studies.
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(9160868), Jinho Jung. "ESSAYS ON SPATIAL DIFFERENTIATION AND IMPERFECT COMPETITION IN AGRICULTURAL PROCUREMENT MARKETS." Thesis, 2020.

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First Essay: We study the effect of entry of ethanol plants on the spatial pattern of corn prices. We use pre- and post-entry data from corn elevators to implement a clean identification strategy that allows us to quantify how price effects vary with the size of the entrant (relative to local corn production) and with distance from the elevator to the entrant. We estimate Difference-In-Difference (DID) and DID-matching models with linear and non-linear distance specifications. We find that the average-sized entrant causes an increase in corn price that ranges from 10 to 15 cents per bushel at the plant’s location, depending on the model specification. We also find that, on average, the price effect dissipates 60 miles away from the plant. Our results indicate that the magnitude of the price effect as well as its spatial pattern vary substantially with the size of the entrant relative to local corn supply. Under our preferred model, the largest entrant in our sample causes an estimated price increase of 15 cents per bushel at the plant’s site and the price effect propagates over 100 miles away. In contrast, the smallest entrant causes a price increase of only 2 cents per bushel at the plant’s site and the price effect dissipates within 15 miles of the plant. Our results are qualitatively robust to the pre-treatment matching strategy, to whether spatial effects are assumed to be linear or nonlinear, and to placebo tests that falsify alternative explanations.


Second Essay: We estimate the cost of transporting corn and the resulting degree of spatial differentiation among downstream firms that buy corn from upstream farmers and examine whether such differentiation softens competition enabling buyers to exert market power (defined as the ability to pay a price for corn that is below its marginal value product net of processing cost). We estimate a structural model of spatial competition using corn procurement data from the US state of Indiana from 2004 to 2014. We adopt a strategy that allows us to estimate firm-level structural parameters while using aggregate data. Our results return a transportation cost of 0.12 cents per bushel per mile (3% of the corn price under average conditions), which provides evidence of spatial differentiation among buyers. The estimated average markdown is $0.80 per bushel (16% of the average corn price in the sample), of which $0.34 is explained by spatial differentiation and the rest by the fact that firms operated under binding capacity constraints. We also find that corn prices paid to farmers at the mill gate are independent of distance between the plant and the farm, providing evidence that firms do not engage in spatial price discrimination. Finally, we evaluate the effect of hypothetical mergers on input markets and farm surplus. A merger between nearby ethanol producers eases competition, increases markdowns by 20%, and triggers a sizable reduction in farm surplus. In contrast, a merger between distant buyers has little effect on competition and markdowns.


Third Essay: We study the dynamic response of local corn prices to entry of ethanol plants. We use spatially explicit panel data on elevator-level corn prices and ethanol plant entry and capacity to estimate an autoregressive distributed lag model with instrumental variables. We find that the average-sized entrant has no impact on local corn prices the year of entry. However, the price subsequently rises and stabilizes after two years at a level that is about 10 cents per bushel higher than the pre-entry level. This price effect dissipates as the distance between elevators and plants increase. Our results imply that long-run (2 years) supply elasticity is smaller than short-run (year of entry) supply elasticity. This may be due to rotation benefits that induce farmers to revert back to soybeans, after switching to corn due to price signals the year the plant enters. Furthermore, our results, in combination with findings in essay 2 of this dissertation, indicate that ethanol plants are likely to use pricing strategies consistent with a static rather than dynamic oligopsony competition.
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Books on the topic "Transportation Statistical methods"

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1968-, Sloboda Brian W., ed. Transportation statistics. Ft. Lauderdale, FL: J. Ross Pub., 2009.

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G, Karlaftis Matthew, and Mannering Fred L, eds. Statistical and econometric methods for transportation data analysis. 2nd ed. Boca Raton: CRC Press, Taylor & Francis Group, 2011.

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Zimowski, Michele. An introduction to panel surveys in transportation studies. [Washington, D.C.]: U.S. Dept. of Transportation, 1997.

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Jiao tong yun shu tong ji xue: Jiaotong yunshu tongjixue. [Changchun shi]: Jilin ren min chu ban she, 1986.

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National Research Council (U.S.). Panel on Bureau of Transportation Statistics International Trade Traffic. Measuring international trade on U.S. highways. Edited by Horowitz Joel, Plewes Thomas J, and National Academies Press (U.S.). Washington, D.C: National Academies Press, 2005.

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Petrova, E. V. Statistika avtomobilʹnogo transporta. 4th ed. Moskva: "Finansy i statistika", 1988.

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Suvorov, V. S. Statistika vnutrennego vodnogo transporta. Moskva: Transport, 1987.

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M, Semenov I͡U︡, and Ponomareva L. A, eds. Statistika vnutrennego vodnogo transporta. Moskva: "Transport", 1987.

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Mead, Kenneth M. Highway safety: Monitoring practices to show compliance with speed limits should be re-examined : statement of Kenneth M. Mead ... before the Subcommittee on Surface Transportation, Committee on Public Works and Transportation, United States House of Representatives. [Washington, D.C.?]: U.S. General Accounting Office, 1988.

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Mead, Kenneth M. Highway safety: Monitoring practices to show compliance with speed limits should be re-examined : statement of Kenneth M. Mead ... before the Subcommittee on Surface Transportation, Committee on Public Works and Transportation, United States House of Representatives. [Washington, D.C.?]: U.S. General Accounting Office, 1988.

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Book chapters on the topic "Transportation Statistical methods"

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Teodorović, Dušan, and Miloš Nikolić. "Statistics." In Quantitative Methods in Transportation, 207–300. First edition. | Boca Raton, FL : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429286919-5.

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Almaatani, D., S. G. Diagne, Y. Gningue, and P. M. Takouda. "Solving the Linear Transportation Problem by Modified Vogel Method." In Springer Proceedings in Mathematics & Statistics, 13–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12307-3_3.

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Nakayama, Shoichiro, and Richard D. "Estimation of Parameters of Network Equilibrium Models: A Maximum Likelihood Method and Statistical Properties of Network Flow." In Transportation and Traffic Theory 2009: Golden Jubilee, 39–56. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0820-9_3.

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Yu, Xiang, Huan Wang, and Rong Wang. "A Spatial Domain Error Concealment Method Based on Statistics." In Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I, 413–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53778-3_40.

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Washington, Simon, Matthew Karlaftis, Fred Mannering, and Panagiotis Anastasopoulos. "Bayesian Statistical Methods." In Statistical and Econometric Methods for Transportation Data Analysis, 391–403. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429244018-23.

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de Winter, J. C. F., and D. Dodou. "Pitfalls of Statistical Methods in Traffic Psychology." In International Encyclopedia of Transportation, 87–95. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-102671-7.10665-7.

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"Statistical Inference I." In Statistical and Econometric Methods for Transportation Data Analysis. Chapman & Hall, 2003. http://dx.doi.org/10.1201/9780203497111.ch1.

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"Statistical Inference II." In Statistical and Econometric Methods for Transportation Data Analysis. Chapman & Hall, 2003. http://dx.doi.org/10.1201/9780203497111.ch2.

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Washington, Simon, Matthew Karlaftis, Fred Mannering, and Panagiotis Anastasopoulos. "Statistical Inference I." In Statistical and Econometric Methods for Transportation Data Analysis, 3–19. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429244018-2.

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Washington, Simon, Matthew Karlaftis, Fred Mannering, and Panagiotis Anastasopoulos. "Statistical Inference II." In Statistical and Econometric Methods for Transportation Data Analysis, 21–51. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429244018-3.

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Conference papers on the topic "Transportation Statistical methods"

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Wang, Yan, Wei-hong Xuan, and Xiang Ma. "Statistical Methods Applied to Pavement Construction Quality Assurance." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)362.

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Zhang, Guohui, Jianyang Zheng, and Yinhai Wang. "Numerical Examinations of Traffic Accident Characteristics Using Analytical Statistical Methods." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.358.

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Sun, Wei, Shuyi Yin, Samuel Ricord, and Yinhai Wang. "Identifying Factors Associated with Crash Injury Severities on Low-Volume Rural Roads Using Statistical and Machine Learning Methods." In International Conference on Transportation and Development 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484319.018.

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Huang, Qiyu, and Jun Ma. "Prediction of Wax Deposition of Crude Using Statistical and Neural Network Methods." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64225.

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Prediction of wax deposition rate of crude oil using statistical and neural network methods is presented. Wax deposition in the pipeline is an important issue for crude oil transportation and is a complicated process. It depends on the dynamic viscosity of the crude oil, shear stress, temperature gradient, concentration gradient of wax molecules on the wall. By virtue of oil wax deposition data from laboratory experiments, we train the neural network to learn the non-linear relationship between the influential factors and the wax deposition rate. Comparison of prediction results from a linear regression model and the neural network model is carried out to examine the feasibility of using neural network methods to predict wax deposition.
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Ogutcu, Gokcen, and Serhat Akin. "Risk Assessment of Petroleum Transportation Pipeline in Some Turkish Oil Fields." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0667.

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This study concentrates on risk factors in oil field pipeline systems and covers identification of failure rate and reasons of failure comparison of the failure data, which are collected from oilfield pipeline systems located in South East Turkey. There are many methods and techniques to reduce or eliminate risk factors in pipeline systems. In this study, quantitative risk assessment method, which depends on statistical calculations, was applied. Monte Carlo Simulation was used to assess the risk in the system. This study focuses on identification of relationship between all parameters. History matching frequency, identification of critical factors, probability of density function have been estimated and calculated. The most significant failures are identified as corrosion, third party damage, mechanical failure, operational failure, weather effect and sabotage.
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Liu, Shengli, Yongtu Liang, Xiao Wang, and Dong Han. "Statistical Analyses of Incidents on Onshore Hazardous Liquid Pipelines Based on PHMSA Database." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78528.

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To improve the safety of a pipeline system, engineers use different methods to diagnose the hazardous pipeline accidents. However, most methods ignore the time dependence of pipeline failures. The aim of this paper is to provide a novel approach to analyzing the hazardous liquid pipeline incidents’ temporal structure. The database of hazardous liquid spillages from the US between 2002 and 2018 is collected by the Pipeline Hazardous Material Safety Administration of the US Department of Transportation. The result suggests that the whole oil pipeline incident sequence cannot be modeled as a Poisson (random and independent) process, which means that a hazardous liquid pipeline incident is not statistically independent from the time elapsed since the previous event. But the serious pipeline failures are random and unpredictable. The analysis also indicates that the equipment failure, corrosion, material failure and incorrect operation are the four leading failure causes, responsible for most of the total incidents. The study provides insights into the current state of hazard liquid pipelines in the US and baseline failure statistics for the quantitative risk assessments of such pipelines.
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Nanda, Jyotirmaya, Rob Iera, Stella Clarke, Timothy W. Simpson, and David Klinikowski. "A Web-Based Information Management System for Bus Test Data for the Pennsylvania Transportation Institute." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34455.

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Computer-based information management systems have allowed many companies and facilities to greatly improve their data storage and processing capabilities over traditional paper and file methods. The Internet and its associated web-based technologies have further contributed to information processing capabilities. The Federal Transit Administration’s Bus Testing Program, operated by the Pennsylvania Transportation Institute at the Pennsylvania State University requires an upgrade to such a system. Currently, all bus test data is entered directly into a hardcopy report, and data analysis must be performed manually. The objective in this research is to develop an information management system for the bus test data to facilitate access to the data, enable search queries, and perform statistical analyses to examine current trends or predict performance characteristics of future buses. A database has been created in Microsoft Access and linked to a user-friendly graphical user interface developed in Visual Basic for fast and nearly error-free data entry. A web-based infrastructure comprised of HTML, XML, ASP, and customized COM objects is used to display, search, and analyze the bus test data. The resulting information system saves time and money for PTI while enabling easy access to bus test reports.
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Rakoczy, Przemyslaw, and Cory J. Hogan. "Service Life Evaluation of Fleet of Municipal Trains." In ASME 2012 Rail Transportation Division Fall Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/rtdf2012-9423.

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When a fleet of trains is nearing the end of its service life, the city transit authorities have to decide whether to replace the aging train inventory or apply life extension remediation to the existing fleet. Replacement of the entire inventory comes at a significant cost. Therefore, evaluation of the remaining service life and possible life extension methods for the current fleet is worth investigating. The objective of this study is the evaluation of remaining service life of existing municipal trains and assessment of risk associated with life extension in order to help authorities in the decision making process of applying life extension measures or purchasing new equipment. The main factors limiting service life is exceedance of material fatigue resistance and fracture. To this end, finite element models (FEM) of the train cars in question were created in ABAQUS® modeling software to find locations of stress concentration under prescribed service loads. Locations of concern from the FEM were then used as the basis for instrumentation planning for on-site testing. A single train unit was instrumented with strain gages and accelerometers and then loaded and tested under regular operating conditions. Collected data from the on-site test was then used for calibration and validation of the FEM. Load-time history was constructed based on the calibrated FEM and the data from testing. Calculation of fatigue damage accumulation was done in accordance to the Rain-flow counting algorithm and Palmgren-Miner rule. The remaining fatigue life was evaluated based on available S-N curves from test data. Loads, as well as material resistance are random variables; therefore a reliability approach has to be applied in the calculation of risk associated with service life extension in order to make a sound recommendation as to the risk of continued service beyond the prescribed service life. Statistical parameters of load and resistance where gathered and used in calculations for this recommendation. This paper presents the approach for service life evaluation/extension, reliability and stochastic methods for risk assessment in a real world example.
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Brown, Leonard, Ngan Pham, and Jefferey Burgess. "Toward a Systems Framework Coupling Safety Culture, Risk Perception, and Hazard Recognition for the Mining Industry." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001493.

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The United States mining industry has made steady progress to improve worker safety and reduce injuries. Despite these gains, the industry remains largely reactive in its approach to health and safety. There remains a primary focus on lagging indicators, such as the numbers of injuries, hours lost, and hazards found at the worksite. To facilitate a more proactive approach, new methods are needed to evaluate hazardous conditions and unsafe behaviors. This work explores the relationships among mine workers’ hazard recognition abilities, the individual’s perception of risk, and the safety culture of the mining workplace. We have conducted a literature review to identify key factors and analytical models in industries where health and safety are a major consideration, including construction, manufacturing, mining, and transportation. Our analysis considered both process-oriented frameworks, such as Systems Thinking approaches, and statistical methods, including Structural Equation Modeling (SEM). A meta-model was then developed to aggregate and examine key factors and potential causal relationships. We discuss the creation of this meta-model, identifying notable structural characteristics and hypotheses for future confirmatory analysis. Use cases are then outlined, including descriptive, evaluative, and generative applications.
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White, A. L. "A statistics of rare events method for transportation systems." In 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542). IEEE, 2001. http://dx.doi.org/10.1109/aero.2001.931422.

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Reports on the topic "Transportation Statistical methods"

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Scholl, Lynn, Daniel Oviedo, and Orlando Sabogal-Cardona. Disrupting Personal (In)Security? The Role of Ride-Hailing Service Features, Commute Strategies, and Gender in Mexico City. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003812.

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This paper sheds light on the personal security dimension of ride-hailing from a gender perspective. We explore how features of Transportation Network Companies (TNCs) services affect riders perceptions of security when commuting in ride-hailing services, and how general perceptions of fear of crime shape the way people value such features. Moreover, we analyze the strategies women and men are using to enhance their own security in ride-hailing and factors influencing these strategies. We conducted a survey of users of the TNC DiDi in Mexico City. The statistical methods used are structural equation models SEM and ordered logit models OLOGIT. Results show that women are more likely to value the information made available by ride-hailing applications (e.g., knowing your location or knowing driver information) and the presence of a panic button. The value given to information also increases if a person feels insecure in the streets, in a public transit station or in public transit. People who perceive higher insecurity in the streets have increased positive perceptions of the possibility of travelling without transfers. We also find that women are 64.4% less likely to share ride-hailing trips (pooling) and 2.14 times more likely to share details of their trips through their cellphones.
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Kim, Joseph, and Patricia McCarthy. Evaluation of Sustainability Determinants to Develop a Sustainability Rating System for California Infrastructure Construction Projects. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2142.

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This study evaluates the important sustainability determinants that affect factors’ success in meeting their sustainability goals when conducting infrastructure construction projects in California. The study implemented the online survey method to evaluate the sustainability characteristics that infrastructure industry professionals currently are aware of under the current situation in California. A data set of 25 validated survey responses is used for statistical data analysis using analysis of variables, Kruskal-Wallis tests, and two sample t-tests. The analysis results showed that the median response values for the six major sustainability categories do not show any significant difference. The results also showed that no statistically significant difference in the mean response values can be found from the six major sustainability categories considered. Based on the pairwise comparison results, only the other category showed a difference with water- and energy-related categories. However, mean ranks among the factors under each category are useful in prioritizing the importance of the factors considered, which will be useful for the successful implementation of sustainability in infrastructure construction projects in California. These results are meaningful for legislators and transportation agencies because they provide insights about the sustainability criteria relevant to infrastructure construction projects for better informed decisions about how to meet the projects’ sustainability goals.
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Haddock, John E., Reyhaneh Rahbar-Rastegar, M. Reza Pouranian, Miguel Montoya, and Harsh Patel. Implementing the Superpave 5 Asphalt Mixture Design Method in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317127.

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Recent research developments have indicated that asphalt mixture durability and pavement life can be increased by modifying the Superpave asphalt mixture design method to achieve an in-place density of 95%, approximately 2% higher than the density requirements of conventionally designed Superpave mixtures. Doing so requires increasing the design air voids content to 5% and making changes to the mixture aggregate gradation so that effective binder content is not lowered. After successful laboratory testing of this modified mixture design method, known as Superpave 5, two controlled field trials and one full scale demonstration project, the Indiana Department of Transportation (INDOT) let 12 trial projects across the six INDOT districts based on the design method. The Purdue University research team was tasked with observing the implementation of the Superpave 5 mixture design method, documenting the construction and completing an in-depth analysis of the quality control and quality assurance (QC/QA) data obtained from the projects. QC and QA data for each construction project were examined using various statistical metrics to determine construction performance with respect to INDOT Superpave 5 specifications. The data indicate that, on average, the contractors achieved 5% laboratory air voids, which coincides with the Superpave 5 recommendation of 5%. However, on average, the as-constructed mat density of 93.8% is roughly 1% less than the INDOT Superpave 5 specification. It is recommended that INDOT monitor performance of the Superpave 5 mixtures and implement some type of additional training for contractor personnel, in order to help them increase their understanding of Superpave 5 concepts and how best to implement the design method in their operation.
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Smith, Jijo K., Howell Li, and Darcy M. Bullock. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions Along a Signalized Corridor. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317322.

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The communication between connected vehicles and traffic signal controllers is defined in SAE Surface Vehicle Standard J2735. SAE J2735 defines traffic signal status messages and a series of 16 confidence levels for traffic signal transitions. This paper discusses a statistical method for tabulating traffic signal data by phase and time of day and populating the SAE J2735 messages. Graphical representation of the red-green and green-yellow transitions are presented from six intersections along a 4-mile corridor for five different time of day timing plans. The case study provided illustrates the importance of characterizing the stochastic variation of traffic signals to understand locations, phases, and time of day when traffic indications operate with high predictability, and periods when there are large variations in traffic signal change times. Specific cases, such as low vehicle demand and occasional actuation of pedestrian phases are highlighted as situations that may reduce the predictability of traffic signal change intervals. The results from this study also opens up discussion among transportation professionals on the importance of consistent tabulation of confidence values for both beginning and end of green signal states. We believe this paper will initiate dialog on how to consistently tabulate important data elements transmitted in SAE J2735 and perhaps refine those definitions. The paper concludes by highlighting the importance of traffic engineers and connected vehicle developers to work together to develop shared visions on traffic signal change characteristics so that the in-vehicle use cases and human-machine interface (HMI) meet user expectations.
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Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained and used for statistical data analysis using analysis of variable (ANOVA) and two sample t-tests. The analysis results showed that 75.27% of the owner– operator truck drivers responded are willing to pay toll fees when they choose routes. The tolerated average toll fees are $13.77/ hr and $12.82/hr for weekdays and weekends, respectively. The analysis results also showed that owner–operator truck drivers will take truck-only toll lanes when they take the routes used in four comparisons out of six comparisons according to the three measures such as values of time, reliability, and safety, despite sharing a common origin and destination. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of time is $0.31/mile or $18.35/hr. The toll fees associated with reliability and safety measures are $0.30/mile or $8.94/hr and $0.22/mile or $11.01/hr, respectively. These results are meaningful for legislators and transportation agencies as the behaviors and route choice characteristics of owner–operator truck drivers help them better understand the utility and demand for truck-only toll lanes.
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