Modeling the Spatial Structure of Facility Condition
This study develops methods for information extraction that he bridge the gap between the detailed condition data collected by advanced technologies and the information necessary for maintenance...

Modeling the Traffic Flow Impacts of Rehabilitation Activity on Two-Lane Highways
Researchers at the Purdue University have been involved in developing techniques for predicting the operational impacts created by one-way traffic control. These techniques estimate average...

Tie Model: A Crosstie Replacement Planning and Costing Model
The Tie Model described in this paper is a maintenance planning and life-cycle costing model for wood crossties. The model includes a number of different failure modules to predict crosstie...

Evaluation of Two Automated Thresholding Techniques for Pavement Images
Thresholding of pavement images is an important step towards the design of an automated pavement crack detection system. However, traditional automated thresholding techniques generally...

Infrastructure Condition Forecasting Using Neural Networks
Condition forecasting models are critical components of any infrastructure management system. infrastructure condition assessed through periodic inspections which assign ratings to various...

Inspection and M&R Decisions for Infrastructure
This paper reviews different possible mathematical formulations for a joint inspection and M&R decision-making model, having various levels of restriction and computational complexity....

Pavement Network Level Management Using Micro PAVER
This paper presents pavement network level management using Micro PAVER with emphasis on pavement condition prediction modeling and annual and long range work planning....

An Overview of Markovian Models for Bridge Management Systems
The typical infrastructure maintenance decision-making environment involves multiples objectives, uncertainty, and dynamics of the most commonly used infrastructure models, which captures...

Deterioration Models for Highway Bridges
Infrastructure management, especially in case of highway bridges, need a realistic and effective deterioration model in order to provide information on the present and future condition...

Identifying a New Role of the Future Planner
It has been amply demonstrated over the last three decades that public planning is subject to great uncertainties, both in dealing with new technologies as well as in dealing with fuzzy...

Uncertainty in Infrastructure Management
The difference between committed costs and actual expenditure is a margin of control in project management. By using a measure of uncertainty we construct a cost-risk evaluation framework...

Projecting Land Use/Transportation Interactions
The inherent uncertainty in forecasting the interaction between transportation capacity and induced development has resulted in insufficient analysis of this dynamic in the transportation...

Use of Fuzzy Theory for Dealing with Uncertainty: Evaluating Alternatives Under Uncertainty
A method to deal with uncertainty which is associated with vagueness and ambiguity is presented. Fuzzy sets are introduced to account for vagueness in expression and fuzzy measure is introduced...

Evaluation of HSGT Systems Under Uncertainty
The basic themes of this paper are two-fold. First we investigate what planning style is likely to be most suited for planning an HSGT system, dependent on three interdependent key variables:...

Towards a `Simple' Long Term Evaluation of HSGT
The author examines, analyzes, and pursues the roots of several fundamental economic and related theories and techniques commonly used to determine technological performance, its measurement...

Medium Classic Rail Traffic: How to Forecast the New High Speed Rail Traffic
This paper describes the current situation of the transport flows by modes in the international relations between Spain and the rest of Europe. Explains the geographic zoning adopted for...

Texas High Speed Rail Ridership Forecasting
On May 28, 1991, the Texas High Speed Rail Authority made a decision to implement a High Speed Rail (HSR) system in the `Texas Triangle,' which would connect five of Texas' largest cities...

Intercity Travel Demand Modeling and Forecasting for High Speed Rail Service in the Quebec-Ontario Corridor
This paper describes the application of intercity travel demand models and preparation of ridership and revenue forecasts for the Ontario/Quebec Rapid Train Task Force in 1990. The development...

Estimation and Testing of Alternative Approaches to Model Intercity Rail Ridership
Assessment of proposals to improve intercity rail transportation service requires careful evaluation of their economic, developmental and environmental impacts. This paper addresses the...

Assumptions Behind Ridership Forecasts for High Speed Ground Transportation Systems and Their Validity: The California-Nevada Case Study
Accurate prediction of ridership is one of the key elements for approval of any transit project and eventually for survival after the system begins operation. This is particularly true...

 

 

 

 

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