TRF - 2020

Permanent URI for this collectionhttp://192.248.9.226/handle/123/17957

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Browsing TRF - 2020 by Author "Bandara, JMSJ"

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    item: Conference-Abstract
    Development of performance indicators to evaluate performance-based road maintenance contracts
    (Department of Civil Engineering, University of Moratuwa, 2020-12) Mullevithana, GL; Bandara, JMSJ; Perera, HLK
    Effective maintenance is essential to achieving sustainable development in Road sector. There are categories of maintenance activities as per the time of attendance, the period of attendance and frequency of attendance. Period for relevant activities is not specific. It is varying with the site condition and various parameters. Build- up the relationship between parameters helps to deliver the tangible results to programming, scheduling and budgeting for good governance, accountability and transparency in performance base maintenance. Road maintenance activities can be classified as per nature of attending; Routine, Recurrent, Periodic and urgent. Indicators of Road Surfacing and Road Marking on the paved road under periodic maintenance were selected to monitor and evaluation in this study. These activities are required to attend at periods of several years, the frequency depending on the damage caused by traffic and other factors. International Roughness Index (IRI) of road surface data was collected by the existing RDA database and Roadroid Mobile App with comparing last improvement details on selected road segments. Data for thickness, skid resistance and reflectivity of road marking were collected by the field test with following the tools of monitoring and evaluation (M & E) which can be used to improve the way achieving better result. Collected data were analyzed using panel regression, multiple regression and logistic regression tools. Initially stationary of data that represent variance and autocorrelation structure do not change over time was tested according to the Hadri Z statistic and results are significant providing selected stationary data. Out of random and fixed effect models, the most appropriate model is recommended by the Hausman test and that is the random effect model. According to this model, IRI gradually goes up due to Annual Average Daily Traffic (AADT) and within the periods, IRI will come to the critical level where the roads must be paid attention for the development. The range needs to be provided for periodically with achieving a critical range of IRI using selected stationary data models. Relationship between thickness, skid resistance & reflectivity of road marking with ageing is to be built up for future implementation and continue appropriate maintenance strategies.
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    item: Conference-Abstract
    Identification of traffic parameters required to develop performance measuring schemes for traffic signals full-filling multi-stakeholder objectives
    (Department of Civil Engineering, University of Moratuwa, 2020-12) Withana, SC; Bandara, JMSJ; Perera, HLK; Perera, HLK
    Traffic signal systems are defined as a control measure or a traffic management strategy for road traffic to minimize traffic congestion and control the traffic flow. Today the traffic signal systems have evolved through semi and fully actuated signal systems and towards adaptive traffic signal systems where the traffic data are processed in real-time to predict future conditions using traffic models. Every intersection is a part of a roadway network and traffic signal operations are a special component in traffic management. The actual quality of operation in a signalized intersection is unknown without a proper performance measurement system. Therefore, it is important to develop an appropriate performance measurement scheme where adequate information is provided to the system operators in evaluating the performance of a signalized intersection. The organizational processes and stakeholders of the intersection are vital components in developing a performance measurement system and their influence on traffic control measures are significant. Different stakeholders require different objectives to be achieved from the traffic signal systems. Different objectives require different parameters to be evaluated to measure the quality of an operation. Therefore, a multi-stakeholder analysis of performance measurement needs to be conducted to identify different objectives and relevant parameters to measure the quality of operation in a signalized intersection. This study is focused on identifying relevant parameters required to measure in determining the quality of operation at a signalized intersection based on multi-stakeholder objectives. The existing literature has been used to develop the relevance and significance between the parameters and stakeholders. The influences between stakeholders and traffic parameters were developed to identify the most appropriate parameters to be measured to achieve a quality outcome in performance measurement. The outcomes are useful in developing performance measuring guidelines to evaluate traffic signal systems in general. The results show that there are seven main stakeholder groups with different perspectives. 29 parameters were studied considering different views of stakeholder in this study to identify most cost-beneficial and relevant parameters to be measured.