No description available.

No description available.

M.B.A. / The Johannesburg Roads Agency (JRA) was formed in July 2000 as part of the iGoli 2002 plan for the city. The iGoli 2002 project forms part of the process of transforming local government in Johannesburg from the debt ridden Greater Johannesburg Transitional Metropolitan Council into a sustainable, efficient and effective unicity government that is able to lead the City of Johannesburg (CoJ) to becoming an African world-class city ...

M.Ing. (Electrical & Electronic Engineering) / Please refer to full text to view abstract

Please read the abstract (Dissertation Summary) in the section, 00front, of this document / Dissertation (M Eng (Transportation Engineering))--University of Pretoria, 2008. / Civil Engineering / unrestricted

The United States has the world’s largest road network with over 4.1 million miles of roads supporting more than 260 million of registered automobiles including around 11 million of heavy trucks. Such a large road network challenges the road and traffic management systems such as condition assessment and traffic monitoring. To assess the road conditions and track the traffic, currently, multiple facilities are required simultaneously. For instance, vehicle-based image techniques are available for pavements’ mechanical behavior detection such as cracks, high-speed vehicle-based profilers are used upon request for the road ride quality evaluation, and inductive loops or strain sensors are deployed inside pavements for traffic data collection. Having multiple facilities and systems for the road conditions and traffic information monitoring raises the cost for the assessment and complicates the process. In this study, an integrated system is developed to simultaneously monitor the road condition and traffic using in-pavement strain-based sensors, which will phenomenally simplify the road condition and traffic monitoring. To accomplish such a superior system, this dissertation designs an innovative integrated sensing system, installs the integrated system in Minnesota's Cold Weather Road Research Facility (MnROAD), monitors the early health conditions of the pavements and ride quality evaluation, investigates algorithms by using the developed system for traffic data collection especially weigh-in-motion measurements, and optimizes the system through optimal system design. The developed integrated system is promising to use one system for multiple purposes, which gains a considerable efficiency increase as well as a potential significant cost reduction for intelligent transportation system. / USDOT (U.S. Department of Transportation) / MPC (Mountain-Plains Consortium)

Reusing RAP in the base layer became a common practice in the last decade. However, some crucial issues must be resolved to succeed in using RAP satisfying the standard specifications as a base layer. The most important unknown factor is the mechanistic behavior of RAP. This question may be satisfied by understanding the role of RAP in terms of whether it just behaves as a black rock or has a stabilizing effect with traditional aggregates used for base layer. The first stage of this study is modeling the structural behavior of RAP via prediction MR. This stage then comprises comparing the predicted results to actual measured data under several field conditions. The second stage focuses on the modeling behavior of PD. This stage takes in consideration two sets of data, the first is for the measured PD data calculated from MR test. While another traditional set of measured data for PD from repeated tri-axial loading (RTL) test either single or multi-stage is collected for the same RAP sources used in the first stage. The third stage concerns on MR-PD relationship. It indicates the typical relationship for the MR-PD behavior that can be understood for the RAP in base layer. The fourth and last stage is essential to investigate the Poisson’s ratio of RAP blends and its effectiveness on both parameters MR and PD. This ratio is measured during un-confined compression test. Two main testing conditions: various water and RAP contents are taken in consideration during this measurement for different RAP/Aggregate sources. This study proves that both prediction models used in the MEPDG for prediction of both parameters MR and PD are totally significant for RAP/Aggregate blends used for pavement base layer. The prediction is at the highest accuracy at water content levels close to OMC%, MDD and with 50% to 75% RAP content. In addition, it is proved that Poisson’s ratio is an effective parameter on both MR and PD parameters especially with variation of water content. This conclusion recommends to take in consideration Poisson’s ratio as an effective parameter in MR and PD prediction models used in MEPDG software. / National Science Foundation (NSF)

Not available / text

Not available / text

A project report submitted to the faculty of engineering, University of the Witwatersrand, Johannesburg, in partial fulfillment of the requirements for the degree of Master of Science in Engineering Johannesburg 1991 / In the economic and social development of any country, an effective road transportation system is an important factor However, it also consumes a large proportion of the total infrastructure costs, while the costs borne by the road user for vehicle operation and depreciation arc even greater. A policy must therefore be adopted in which total community costs for any road link Of network are minimized. To do this meaningfully, alternatives must be developed and compared and the trade-offs between them carefully assessed. This, in turn, requires the ability to quantify the different cost functions for the desired period of analysis. [No abstract provided. Information taken from introduction] / MT2018