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Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia

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@article{IJASEIT7075,
   author = {Rosilah Hassan and Husna Inani Abdul Jabar and Mohammad Khatim Hasan and Meng Chun Lam and Wan Mohd Hirwani Wan Hussain},
   title = {Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {6},
   year = {2019},
   pages = {1959--1967},
   keywords = {big data; IoT; application; smartphone; cloud computing; analysis.},
   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 cloud-based 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.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7075},    doi = {10.18517/ijaseit.9.6.7075} }

EndNote

%A Hassan, Rosilah
%A Abdul Jabar, Husna Inani
%A Hasan, Mohammad Khatim
%A Lam, Meng Chun
%A Wan Hussain, Wan Mohd Hirwani
%D 2019
%T Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia
%B 2019
%9 big data; IoT; application; smartphone; cloud computing; analysis.
%! Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia
%K big data; IoT; application; smartphone; cloud computing; analysis.
%X 

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 cloud-based 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.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7075 %R doi:10.18517/ijaseit.9.6.7075 %J International Journal on Advanced Science, Engineering and Information Technology %V 9 %N 6 %@ 2088-5334

IEEE

Rosilah Hassan,Husna Inani Abdul Jabar,Mohammad Khatim Hasan,Meng Chun Lam and Wan Mohd Hirwani Wan Hussain,"Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, pp. 1959-1967, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.6.7075.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Hassan, Rosilah
AU  - Abdul Jabar, Husna Inani
AU  - Hasan, Mohammad Khatim
AU  - Lam, Meng Chun
AU  - Wan Hussain, Wan Mohd Hirwani
PY  - 2019
TI  - Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 6
Y2  - 2019
SP  - 1959
EP  - 1967
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - big data; IoT; application; smartphone; cloud computing; analysis.
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 cloud-based 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.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7075 DO - 10.18517/ijaseit.9.6.7075

RefWorks

RT Journal Article
ID 7075
A1 Hassan, Rosilah
A1 Abdul Jabar, Husna Inani
A1 Hasan, Mohammad Khatim
A1 Lam, Meng Chun
A1 Wan Hussain, Wan Mohd Hirwani
T1 Cloud Based Performance Data Analysis and Monitoring System for Express Bus in Malaysia
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 6
YR 2019
SP 1959
OP 1967
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 big data; IoT; application; smartphone; cloud computing; analysis.
AB 

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 cloud-based 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.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7075 DO - 10.18517/ijaseit.9.6.7075