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Preface
Committees
An Artificial Intelligence Approach for Parking Facilities Management
The number of trips by private cars has significantlyincreased in recent decades in many cities. At the sametime, parking capacities have not kept up with thisincrease in urban travel demand. Parking facilitiesmanagement has significant influence on the ...
Modeling Drivers Uncertainty in Traffic Assignment Models: A Possibility Theory Based Approach
One of the most important issue in transportation systemanalysis deals with modeling of the effects of AdvancedTraffic Information Systems (ATIS) on users' route choicebehaviour and how incorporate such effects in trafficassignment models. To face this ...
Heterogeneity in Commuter Departure Time Decision: A Prospect Theoretic Approach
This study is an investigation into the applicability ofprospect theory in the context of morning commutes. Weextend the analysis adopted in our previous study toaccount for both observed and unobserved heterogeneityacross commuters. Two decision frames ...
Stiffness Identification under Uncertain Blast Loading
The authors are in the process of developing a finiteelement-based time-domain system identificationalgorithm which will identify structural parameters atthe local element level without using input excitationinformation and with limited output ...
Reliability Evaluation using Finite Element Method
Complicated structural systems are routinelyanalyzed using the finite element algorithm. In this waynonlinearities due to geometry and materialcharacteristics, boundary or support, and connectionconditions can be easily incorporated in the ...
Processing uncertainty in structural analysis, design and safety assessment
In this paper a fuzzy method for determining appropriatestructural design is presented. Non-stochastic uncertaintyis quantified using fuzzy values and fuzzy random variables.Fuzzy structural parameters are processed on the basis of agenerally applicable ...
Reliability of Underground Concrete Structures under Water Ingress Attack
The main objective of this study is to address the riskanalysis of the water ingress to underground concretestructures. The reliability level of the safety measuresaccounted for in the design process, to ensure optimalwater resistance and durability of ...
Why Fuzzy in Data Mining?
Fuzzy-as has been emphasized by Zadeh-is ahuman interface, a link between human judgement andmachine information processing. It represents anapproach for experimentation with the sensitivity ofhuman classification, i.e. the notion of adding ...
Crisp Simulation of Fuzzy Computations
We start by determining fuzzy numbers \overline \lambda (\overline \mu) for the arrival(service) rate for a fuzzy queuing system. These fuzzynumbers are then used to compute the fuzzy steady stateprobabilities which in turn are employed to calculate ...
Uncertainty Modeling through Probabilistic Fuzzy Systems
A novel concept of probabilistic fuzzy system (PFS) hasbeen first proposed and a general framework for itsrepresentation has been developed here. Unlike the wellestablished concept of fuzzy probability, which incorporatesfuzziness in probabilities, PFS ...
Studying the Importance of Fuzzy Sets Definitions for Fuzzy Signal Controllers
The fuzzy sets adopted for the development of fuzzysignal controllers, and their respective membershipfunctions, are recognised as important aspects related tocontroller operations. However, the impact of theirdefinitions on traffic signal performance ...
Configuring Micro-Genetic Algorithms for Solving Traffic Control Problems: The Case of Number of Generations
Efficient and successful use of Genetic Algorithms(GAs) requires careful selection of several parametervalues. One such critical parameter is the processingtime (or, number of generations) that is sufficient toensure suitable convergence. To-date there ...
Neural Networks Model to Estimate Traffic Capacity for Weaving Segments
The impact of weaving vehicles on the capacity offreeway segments is uncertain due to the complexity inoperation. The Highway Capacity Manual 2000provides values for capacity on various weavingsegments (Exhibit 24-8) based on sets of conditions(...
Modeling Transportation Mode Choice through Artificial Neural Networks
This paper aims at showing that Artificial NeuralNetworks (ANN) can be an effective tool for traveldemand analysis. Exiting literature show that ANN's canoutperform commonly adopted models, derived fromrandom utility theory, but they are based on ...
Reliability Concepts Applied to Manufacturing Processes Planning
This paper presents a reliability analysis of a precisiondrilling process used in the manufacturing of aircraftstructural components. After a brief introduction to theprecision drilling manufacturing process, a reliabilityanalysis is executed through ...
Split and Bound Method for Process Optimization Under Parametric Uncertainty
This paper discusses methods for solvingsteady state process optimization problems underparametric uncertainty.The problem is formulated asa two-stage optimization problem (TSOP) which isinherently multiextremal and nondifferentiable.Anindirect approach ...
Experiment with a hierarchical text categorization method on the WIPO-alpha patent collection
Text categorization is the classification to assign a textdocument to an appropriate category in a predefined setof categories. This paper focuses on the special case whencategories are organized in hierarchy. We presents a newapproach on this recently ...
A New Approach to Two-Machine Flow Shop Problem with Uncertain Processing Time
In this paper, we make an improvement onMcCahon and Lee's algorithm for two-machineflow shop problem with uncertain processingtime represented with fuzzy number. Especially,the scheme used in McCahon and Lee'salgorithm for ranking fuzzy processing times ...
Experiments in Emergent Collaboration in Swarms of Simple Agents
For many important applications, it would beparticularly valuable if large numbers of relatively simple(i.e. unintelligent) agents could be induced to collaboratein the performance of tasks in environments in which ahigh degree of uncertainty is the ...
Application of Stochastic Optimization to Collision Avoidance
This paper applies simulation-basedoptimization to the problem of vessel trafficmanagement in a high vessel density environment.Specifically, a Monte Carlo simulation has beendeveloped that models a relatively small craftoperating in a high vessel ...
Self-Organizing Neural Networks by Dynamic and Spatial Changing Weights
We propose a self-organizing neural structure with dynamicand spatial changing weights for forming a featurespace representation of concepts. An essential core of thisself-organization is an appropriate combination of an unsupervisedlearning with ...
Uncertainty in the Automation of Ontology Matching
The exchange of information between two agents overthe Semantic Web requires a means of translatingbetween the "vocabularies" of the agents. Muchresearch has focused on the use of ontologies forspecifying an agent's knowledge and for ...
Development of Quadratic Neural Unit with Applications to Pattern Classification
The computational neural-network structures described inthe literature are often based on the concept of linear neuralunits (LNUs). The biological neuron is a complex computingelement, which performs more computations than just linearsummation. The ...
Fuzzy Utility Theory for Analysing Discrete Choice Behaviour
The paradigm commonly used to analyze discrete choicebehavior, especially within a transportation system, isbased on the assumption of a perfectly rational decision-maker,whose perceived utility is modeled taking intoaccount several sources of ...
Evaluation Freeway Diversion Route Plans in Integrated Incident Management Systems under Uncertainties
The paper presented a methodology for analyzingdiversion route plans in integrated incident managementsystems under uncertainties. The proposed methodologyuses Monte Carlo simulation to generate a set of possiblecombinations of independent parameters ...
Modeling Stochasticity of Heterogeneous Traffic
The important aspect that makes the nature of trafficflow stochastic is the randomness inherent in road user(driver) and vehicular characteristics. This paper givesan overview of the development, validation and use of astochastic traffic-flow simulation ...
Multi-Interval Elicitation of Random Intervals for Engineering Reliability Analysis
Random intervals are increasingly useful in engineeringmodeling, but are difficult to measure and elicit fromexperts. We present a method for constructing randomintervals by eliciting simple "multi-interval" and traceinformation from investigators. By ...
Initial Evaluation of Centroidal Voronoi Tessellation Method for Statistical Sampling and Function Integration
A recently developed Centroidal Voronoi Tessellation(CVT) unstructured sampling method is investigated hereto assess its suitability for use in statistical sampling andfunction integration. CVT efficiently generates a highlyuniform distribution of ...
Index Terms
- Proceedings of the 4th International Symposium on Uncertainty Modelling and Analysis