56 research outputs found

    BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK

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    This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon. Data collected include bus travel time, distance, average speed, and number of bus stop. The results show that bus travel time is well predicted using variables of distance, average speed, and number of bus stops. The bus travel time increased due to the increase of distance and number of bus stops, while the higher the average speed from one stop to another, the lower bus travel time.Keywords: bus travel time prediction, distance, average speed of bus, number of bus sto

    BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK

    Get PDF
    This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon. Data collected include bus travel time, distance, average speed, and number of bus stop. The results show that bus travel time is well predicted using variables of distance, average speed, and number of bus stops. The bus travel time increased due to the increase of distance and number of bus stops, while the higher the average speed from one stop to another, the lower bus travel time.Keywords: bus travel time prediction, distance, average speed of bus, number of bus sto

    Review on motorization and use of public transport in Perak Malaysia: realities and challenges

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    This paper presents about the reality of motorization phenomena and the use of public transport in Perak, Malaysia. The quantitative analysis to be performed to show the existing motorization trend against some other factors related. Data set collected, such as population, socio-economic, vehicle registration, accident data, and other factors were used for analyzing the characteristics and indicators of motorization. Statistical test was carried out for validation of model parameters. The impacts of motorization and some transportation problems were extensively discussed. Congestion, road accidents, noise, pollution, fuel consumption are among the important issues related with motorization problems. Promoting of public transport currently becomes interesting choice in anticipating the serious trend of motorization. Otherwise, the near future challenges of motorization are transport management to minimize congestion, accidents, noise, pollution and fuel consumption and promoting the use of public transport. The results indicate the remarks on impacts of motorization and some potential anticipation. The public awareness in advantages of public transport use will encourage the success of promoting public transport and will empower the people to use public transport as an alternative to reduce private cars use

    Prediction of Linear Viscoelastic Rheological Properties for Composite Nanosilica/Polyethylene Modified Bitumen Using Response Surface Methodology

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    This study evaluates the suitability of response surface methodology (RSM) to describe the linear viscoelastic (LVE) rheological properties of composite nanosilica/polyethylene modified binder. Two independent and three response variables were investigated, the independent variables were temperature and nanosilica content whilethe response variables are phase angle and complex modulus. Each of the independent variables was varied over three levels. The temperature was varied in the range of 35 to 55 OC and nanosilica was varied from 2 to 6%. RSM was used for the evaluation based on Central Composite Design (CCD) design. From the results, a high correlation coefficient (R2) of 0.9999 and 0.9953 were obtained for complex modulus and phase angle. This confirms that the experimental values obtained are in real agreement with the developed quadratic models. Analysis of the individual effects of temperature and nanosilica content reveals that all the responses are influenced by the interaction of both the two independent variables but highly influenced by temperature than nanosilica content

    Rate of Occurrence of Fatal Accidents in Malaysian Construction Industry after BIM Implementation

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    Construction industry impacts the health and safety of its workers tremendously. This study is aimed to determine the rate of occurrence of fatal accidents after BIM implementation in Malaysia. The data used for the research was obtained from the Department of Safety and Health (DOSH) website, and it was validated by the relevant professionals through interview. This descriptive analysis was grounded in 796 fatal accidents over the period of 2010-2018. Of those accidents, 38.16% were related to fall-related, 30.39% struck-by, 17.67% caught in-between, 9.89% drowning/asphyxiation and 3.89% others. The results indicate that the types of accidents identified are similar to that of most countries in the world. The findings also revealed that the accidents had occurred because one or combination of the following: management's failure, unsafe site conditions, workers behavior, and environmental factors. Future work will concentrate on the use of BIM-based tools for job hazard identification and safety training

    Engineering Properties of Palm Oil Clinker Fine-Modified Asphaltic Concrete Mixtures

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    Palm oil clinker (POC) is a non-biodegradable palm mill by-product typically discarded in dumpsites. This study analyzed the performance of POC powder (POCF) as bitumen modifier in terms of conventional and engineering properties of bitumen and asphalt mixture. For the study, base bitumen of 60/70 penetration grade was utilized and different POCF dosages (0, 2, 4, 6, and 8% by weight of bitumen) were added. The base bitumen was effectively modified with POCF and then characterized. The conventional and engineering properties of the modified bitumen and asphalt mixtures were assessed. From the characterization results, the formation of Si-O crystalline structure and a new Si-OH functional group was identified. Furthermore, a meandering pattern was observed due to the modification of the base bitumen with POCF. Based on the conventional test results it was revealed that the addition of POCF to the base bitumen resulted in a stiffer blend compared to unmodified bitumen. The addition of POCF improved the modified mixtures’ Marshall stability relative to the unmodified mixtures. Analysis of variance (ANOVA) and regression modeling showed the influence and significance of POCF-MB, with R2 values of (95-99%). Finally, the 4-6% POCF dosage was found to be the optimum dosage, yielding the best performance in terms of the engineering properties evaluated

    Engineering Properties of Palm Oil Clinker Fine-Modified Asphaltic Concrete Mixtures

    Get PDF
    Palm oil clinker (POC) is a non-biodegradable palm mill by-product typically discarded in dumpsites. This study analyzed the performance of POC powder (POCF) as bitumen modifier in terms of conventional and engineering properties of bitumen and asphalt mixture. For the study, base bitumen of 60/70 penetration grade was utilized and different POCF dosages (0, 2, 4, 6, and 8% by weight of bitumen) were added. The base bitumen was effectively modified with POCF and then characterized. The conventional and engineering properties of the modified bitumen and asphalt mixtures were assessed. From the characterization results, the formation of Si-O crystalline structure and a new Si-OH functional group was identified. Furthermore, a meandering pattern was observed due to the modification of the base bitumen with POCF. Based on the conventional test results it was revealed that the addition of POCF to the base bitumen resulted in a stiffer blend compared to unmodified bitumen. The addition of POCF improved the modified mixtures’ Marshall stability relative to the unmodified mixtures. Analysis of variance (ANOVA) and regression modeling showed the influence and significance of POCF-MB, with R2 values of (95-99%). Finally, the 4-6% POCF dosage was found to be the optimum dosage, yielding the best performance in terms of the engineering properties evaluated
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