Author: Nancy K. Keith
Publisher:
ISBN:
Category : Physical distribution of goods
Languages : en
Pages : 44
Book Description
Estimating Aggregation Errors in Transportation Problems
Author: Nancy K. Keith
Publisher:
ISBN:
Category : Physical distribution of goods
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category : Physical distribution of goods
Languages : en
Pages : 44
Book Description
Errors and Truths from Transportation Data Aggregation
Author: Hyeonsup Lim
Publisher:
ISBN:
Category : Aggregation operators
Languages : en
Pages : 113
Book Description
Data aggregation, which is a process to combine information by defined groups for statistical analysis, summary, data size reduction, or other purposes, has fundamental challenges, such as loss of the original information. Improper data aggregation, such as sampling bias or incorrect calculation of average, may cause misreading of information. In first chapter, it is revealed that the harmonic mean, which is used to calculate space mean speed for fixed segment, has a sampling bias, i.e., overestimation with small samples. The several impact analyses show that the sampling bias is affected by sampling rate, time interval, segment length, and distribution type. If the data aggregation is properly used, it can help us improve analytical efficiency, encounter some of critical problems, or reveal its casualties and other relevant information. Second and third chapters utilize the aggregation of multi-source data to estimate error distributions of data sources and improve accuracy of their measurements. This is a leaping point of evaluating data sources as the proposed model does not require ground truth data. Second chapter focuses more on the methodology, i.e., a modified Approximate Bayesian Computation, incorporated to construct the error distribution with numerous simulations. In the simulated experiment, the proposed model outperformed the alternative approach, which is a conventional way of evaluating data source that is gathering error information by comparing with ground data source. Several sensitivity analyses explore that how the model performance is affected by sample size, number of data sources, and distribution types. The proposed model in chapter II is limited to one dimensional variable, and then the application is expanded to improving the position and distance measurement of connected vehicle environment. The proposed model can be used to further improve the accuracy of vehicle positioning with other existing methods, such as simultaneous localization and mapping (SLAM). The estimation process can be conducted in real-time operation, and the learning process will try to keep improving the accuracy of estimation. The results show that the proposed model noticeably improves the accuracy of position and distance measurements.
Publisher:
ISBN:
Category : Aggregation operators
Languages : en
Pages : 113
Book Description
Data aggregation, which is a process to combine information by defined groups for statistical analysis, summary, data size reduction, or other purposes, has fundamental challenges, such as loss of the original information. Improper data aggregation, such as sampling bias or incorrect calculation of average, may cause misreading of information. In first chapter, it is revealed that the harmonic mean, which is used to calculate space mean speed for fixed segment, has a sampling bias, i.e., overestimation with small samples. The several impact analyses show that the sampling bias is affected by sampling rate, time interval, segment length, and distribution type. If the data aggregation is properly used, it can help us improve analytical efficiency, encounter some of critical problems, or reveal its casualties and other relevant information. Second and third chapters utilize the aggregation of multi-source data to estimate error distributions of data sources and improve accuracy of their measurements. This is a leaping point of evaluating data sources as the proposed model does not require ground truth data. Second chapter focuses more on the methodology, i.e., a modified Approximate Bayesian Computation, incorporated to construct the error distribution with numerous simulations. In the simulated experiment, the proposed model outperformed the alternative approach, which is a conventional way of evaluating data source that is gathering error information by comparing with ground data source. Several sensitivity analyses explore that how the model performance is affected by sample size, number of data sources, and distribution types. The proposed model in chapter II is limited to one dimensional variable, and then the application is expanded to improving the position and distance measurement of connected vehicle environment. The proposed model can be used to further improve the accuracy of vehicle positioning with other existing methods, such as simultaneous localization and mapping (SLAM). The estimation process can be conducted in real-time operation, and the learning process will try to keep improving the accuracy of estimation. The results show that the proposed model noticeably improves the accuracy of position and distance measurements.
Proceedings
Author: American Institute for Decision Sciences. Meeting
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 488
Book Description
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 488
Book Description
Aggregation in Large-Scale Optimization
Author: I. Litvinchev
Publisher: Springer Science & Business Media
ISBN: 1441991549
Category : Mathematics
Languages : en
Pages : 301
Book Description
When analyzing systems with a large number of parameters, the dimen sion of the original system may present insurmountable difficulties for the analysis. It may then be convenient to reformulate the original system in terms of substantially fewer aggregated variables, or macrovariables. In other words, an original system with an n-dimensional vector of states is reformulated as a system with a vector of dimension much less than n. The aggregated variables are either readily defined and processed, or the aggregated system may be considered as an approximate model for the orig inal system. In the latter case, the operation of the original system can be exhaustively analyzed within the framework of the aggregated model, and one faces the problems of defining the rules for introducing macrovariables, specifying loss of information and accuracy, recovering original variables from aggregates, etc. We consider also in detail the so-called iterative aggregation approach. It constructs an iterative process, at· every step of which a macroproblem is solved that is simpler than the original problem because of its lower dimension. Aggregation weights are then updated, and the procedure passes to the next step. Macrovariables are commonly used in coordinating problems of hierarchical optimization.
Publisher: Springer Science & Business Media
ISBN: 1441991549
Category : Mathematics
Languages : en
Pages : 301
Book Description
When analyzing systems with a large number of parameters, the dimen sion of the original system may present insurmountable difficulties for the analysis. It may then be convenient to reformulate the original system in terms of substantially fewer aggregated variables, or macrovariables. In other words, an original system with an n-dimensional vector of states is reformulated as a system with a vector of dimension much less than n. The aggregated variables are either readily defined and processed, or the aggregated system may be considered as an approximate model for the orig inal system. In the latter case, the operation of the original system can be exhaustively analyzed within the framework of the aggregated model, and one faces the problems of defining the rules for introducing macrovariables, specifying loss of information and accuracy, recovering original variables from aggregates, etc. We consider also in detail the so-called iterative aggregation approach. It constructs an iterative process, at· every step of which a macroproblem is solved that is simpler than the original problem because of its lower dimension. Aggregation weights are then updated, and the procedure passes to the next step. Macrovariables are commonly used in coordinating problems of hierarchical optimization.
Aggregation in Network Models for Transportation Planning
Author: Daniel Cullen
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 142
Book Description
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 142
Book Description
Transport decisions in an age of uncertainty
Author: E.J. Visser
Publisher: Springer Science & Business Media
ISBN: 9400997078
Category : Business & Economics
Languages : en
Pages : 653
Book Description
Proceedings of the 3rd World Conference on Transport Research, Rotterdam, The Netherlands, April 1977
Publisher: Springer Science & Business Media
ISBN: 9400997078
Category : Business & Economics
Languages : en
Pages : 653
Book Description
Proceedings of the 3rd World Conference on Transport Research, Rotterdam, The Netherlands, April 1977
Paper
Author:
Publisher:
ISBN:
Category : Economic research
Languages : en
Pages : 528
Book Description
Publisher:
ISBN:
Category : Economic research
Languages : en
Pages : 528
Book Description
Analytic Procedures for Urban Transportation Energy Conservation: Analytic procedures for estimating changes in travel demand and fuel consumption
Author: Cambridge Systematics
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 178
Book Description
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 178
Book Description
Environmentally Significant Behaviour in the Czech Republic: Energy, Food and Transportation
Author: Milan Ščasný
Publisher: Karolinum Press
ISBN: 8024620766
Category : Science
Languages : en
Pages : 257
Book Description
This book strives to present the results of research into the consumption of goods and services in Czech households. The first two chapters focus on the effect of consumption on the environment and theoretical approaches towards consumption and behaviour analysis. The remaining five chapters look into consumer behaviour and its significant effect on the environment, such as a demand for energy and transport, energy-saving measures in households, car ownership and organic food consumption. This book aims to point out the environmental effects related to these types of behaviour and provide new information on the frequency of these types of consumer behaviour in various segments of the Czech society. This publication also accentuates the policies and other intervention tools that may be used to influence consumer behaviour.
Publisher: Karolinum Press
ISBN: 8024620766
Category : Science
Languages : en
Pages : 257
Book Description
This book strives to present the results of research into the consumption of goods and services in Czech households. The first two chapters focus on the effect of consumption on the environment and theoretical approaches towards consumption and behaviour analysis. The remaining five chapters look into consumer behaviour and its significant effect on the environment, such as a demand for energy and transport, energy-saving measures in households, car ownership and organic food consumption. This book aims to point out the environmental effects related to these types of behaviour and provide new information on the frequency of these types of consumer behaviour in various segments of the Czech society. This publication also accentuates the policies and other intervention tools that may be used to influence consumer behaviour.
Inverse Problems in Atmospheric Constituent Transport
Author: I. G. Enting
Publisher: Cambridge University Press
ISBN: 1139434330
Category : Science
Languages : en
Pages : 412
Book Description
This book describes mathematical techniques for interpreting measurements of greenhouse gases in order to learn about their sources and sinks. It is aimed at researchers and graduate students embarking upon studies in this area. Established researchers will also find its extensive referencing invaluable.
Publisher: Cambridge University Press
ISBN: 1139434330
Category : Science
Languages : en
Pages : 412
Book Description
This book describes mathematical techniques for interpreting measurements of greenhouse gases in order to learn about their sources and sinks. It is aimed at researchers and graduate students embarking upon studies in this area. Established researchers will also find its extensive referencing invaluable.