Cloud based performance data analysis and monitoring system for express bus in Malaysia

Research output: Contribution to journalArticle

Abstract

Road accidents are often associated with developing countries. One of the developing countries with high traffic accidents is Malaysia. Buses are also no exception in cases of road accidents. Express buses are the main public transportation used by Malaysians to move to other states. However, many road accidents involve express buses arise from driver attitudes, uncertain weather conditions, bus health conditions, and the road environment. Thus, the study was conducted to design and build prototype cloudbased monitoring systems that could analyze the raw data received. The study can help the bus management to monitor the health of the bus in real-time using Big Data Analysis technology using the appropriate cloud-computing platform. This study was conducted to develop an express bus analysis and monitoring system in Malaysia, where the system would have a dashboard that would produce the analysis of raw data (strain and time value) from the Internet of Things (IoT) tools such as sensors, smartphones, and others in the form of info-graphics. The results of this study indicate that rural travel has resulted in the deformation of equipment and hardware such as engines or tires due to the high strain percentage of 321.49%. Therefore, buses that use rural roads are more comfortable to experience damage. For cities and highways, the strains are low with negative values where the city has a percentage of 1.69x10-2% and the highway has a percentage of -1.98x10-3%, with the very low rate, deformation will not occur in a short time, so the equipment and the hardware will be in good condition for a long period. In conclusion, this study has succeeded in generating an analysis and monitoring prototype system, as well as this analytical and monitoring system design can be used in the real phase of developing the system.

Original languageEnglish
Pages (from-to)1959-1967
Number of pages9
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume9
Issue number6
Publication statusPublished - 1 Jan 2019

Fingerprint

Malaysia
Motor Vehicles
data analysis
accidents
roads
Highway accidents
Monitoring
monitoring
prototypes
developing countries
Accidents
public transportation
rural roads
Developing countries
Developing Countries
tires
engines
traffic
travel
Health

Keywords

  • Analysis
  • Application
  • Big data
  • Cloud computing
  • IoT
  • Smartphone

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

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title = "Cloud based performance data analysis and monitoring system for express bus in Malaysia",
abstract = "Road accidents are often associated with developing countries. One of the developing countries with high traffic accidents is Malaysia. Buses are also no exception in cases of road accidents. Express buses are the main public transportation used by Malaysians to move to other states. However, many road accidents involve express buses arise from driver attitudes, uncertain weather conditions, bus health conditions, and the road environment. Thus, the study was conducted to design and build prototype cloudbased monitoring systems that could analyze the raw data received. The study can help the bus management to monitor the health of the bus in real-time using Big Data Analysis technology using the appropriate cloud-computing platform. This study was conducted to develop an express bus analysis and monitoring system in Malaysia, where the system would have a dashboard that would produce the analysis of raw data (strain and time value) from the Internet of Things (IoT) tools such as sensors, smartphones, and others in the form of info-graphics. The results of this study indicate that rural travel has resulted in the deformation of equipment and hardware such as engines or tires due to the high strain percentage of 321.49{\%}. Therefore, buses that use rural roads are more comfortable to experience damage. For cities and highways, the strains are low with negative values where the city has a percentage of 1.69x10-2{\%} and the highway has a percentage of -1.98x10-3{\%}, with the very low rate, deformation will not occur in a short time, so the equipment and the hardware will be in good condition for a long period. In conclusion, this study has succeeded in generating an analysis and monitoring prototype system, as well as this analytical and monitoring system design can be used in the real phase of developing the system.",
keywords = "Analysis, Application, Big data, Cloud computing, IoT, Smartphone",
author = "Rosilah Hassan and Jabar, {Husna Inani Abdul} and Hasan, {Mohammad Khatim} and Lam, {Meng Chun} and Hussain, {Wan Mohd Hirwani Wan}",
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AU - Hussain, Wan Mohd Hirwani Wan

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N2 - Road accidents are often associated with developing countries. One of the developing countries with high traffic accidents is Malaysia. Buses are also no exception in cases of road accidents. Express buses are the main public transportation used by Malaysians to move to other states. However, many road accidents involve express buses arise from driver attitudes, uncertain weather conditions, bus health conditions, and the road environment. Thus, the study was conducted to design and build prototype cloudbased monitoring systems that could analyze the raw data received. The study can help the bus management to monitor the health of the bus in real-time using Big Data Analysis technology using the appropriate cloud-computing platform. This study was conducted to develop an express bus analysis and monitoring system in Malaysia, where the system would have a dashboard that would produce the analysis of raw data (strain and time value) from the Internet of Things (IoT) tools such as sensors, smartphones, and others in the form of info-graphics. The results of this study indicate that rural travel has resulted in the deformation of equipment and hardware such as engines or tires due to the high strain percentage of 321.49%. Therefore, buses that use rural roads are more comfortable to experience damage. For cities and highways, the strains are low with negative values where the city has a percentage of 1.69x10-2% and the highway has a percentage of -1.98x10-3%, with the very low rate, deformation will not occur in a short time, so the equipment and the hardware will be in good condition for a long period. In conclusion, this study has succeeded in generating an analysis and monitoring prototype system, as well as this analytical and monitoring system design can be used in the real phase of developing the system.

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