DOI : https://doi.org/10.18517/ijaseit.9.6.7075

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

Rosilah Hassan (1), Husna Inani Abdul Jabar (2), Mohammad Khatim Hasan (3), Meng Chun Lam (4), Wan Mohd Hirwani Wan Hussain (5)
(1) Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
(2) Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
(3) Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
(4) Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
(5) Graduate School of Business, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Fulltext View | Download
How to cite (IJASEIT) :
Hassan, Rosilah, et al. “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, Dec. 2019, pp. 1959-67, doi:10.18517/ijaseit.9.6.7075.
Citation Format :
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.

J. S. K. Ooi, S. A. Ahmad, Y. Z. Chong, S. H. M. Ali, G. Ai, and H. Wagatsuma, “Driver emotion recognition framework based on electrodermal activity measurements during simulated driving conditions,” in 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2016, pp. 365-369.

Kementerian Pengangkutan Malaysia. Statistik Pengangkutan Malaysia 2015. ISSN: 0128-2778

L. Dell’Olio, A. Ibeas, and P. Cecí­n, “Modelling user perception of bus transit quality,” Transp. Policy, vol. 17, no. 6, pp. 388-397, 2010.

K. KATO, H. MIYAZAKI, T. SOMA, and M. TAKAGI, “Big Data Analytics in the Cloud-System Invariant Analysis Technology Pierces the Anomaly-,” NEC Tech. J., vol. 9, no. 2, pp. 85-89, 2015.

A. Habibi and A. A. M. Ariffin, “Value as a medical tourism driver interacted by experience quality,” Anatolia, vol. 30, no. 1, pp. 35-46, 2019.

M. Mohanty and A. Gupta, “Factors affecting road crash modeling,” J. Transp. Lit., vol. 9, no. 2, pp. 15-19, 2015.

Obaidat M.T, Ramadan T.M. Traffic accidents at hazardous locations of urban roads. Jordan Journal of Civil Engineering Vol. 6(4), pp.436-447.2012.

Karlaftis M.G & Golias I. Effects of road geometry and traffic volumes on rural roadway accident rates. Accident Analysis and Prevention, Vol. 34, pp.357-365. 2002.

Bao, S. & Boyle, L. N. Age-related differences in visual scanning at median-divide highway intersections in rural areas. Accident Analysis and Prevention, Vol.41, pp.146-152. 2009.

Krug, E. G., Sharma G. K. & Lozano R. The global burden of injuries. American Journal of Public Health, 90:523-526. 2000.

Mercy JA et al. Public health policy for preventing violence. Health Affairs, 7-29. 1993.

Mohan, D., Tiwari, G., Khayesi, M. & Nafukho, F. M. Road traffic injury prevention training manual. World Health Organization, India. 2008.

Munzilah Md. Rohani, Devapriya Chitral Wijeyesekera, Ahmad Tarmizi Abd. Karim. Bus Operation, Quality Service and The Role of Bus Provider and Driver. Malaysian Technical Universities Conference on Engineering & Technology 2012, MUCET 2012. Procedia Engineering 53 (2013), pg 167 - 178. 2013.

Joewono T.B, Hisashi Kubota. Safety and Security Improvement in Public Transportation based on Public Perception in Developing Countries. Department of Civil & Environmental Engineering, Saitama University, Japan. 2005.

Mirko V, Dragana M.N, Miodrag S. Fuzzy Petri Net Based Reasoning for the Diagnosis of Bus Condition, 7th Seminar on Neural Network Application in Electrical Engineering, NEUREL 2004. 2004.

Siti Zubaidah Ibrahim et al. Kajian Rekabentuk Sistem Keselamatan (Tali Pinggang) Bagi Penumpang Bas Komersial di Semenanjung Malaysia. 2nd International Conference on Creative Media, Design & Technology (REKA2016). 2016.

Osman, M. R. & Abas, F. Safety Practices among Bus Operators during Wee Hour Operations. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Vol.4, No.11. 2010.

Mohd Jawi, Z., Zainal Abidin, A. N. S., Ghani, Y. & Osman, M. R. News and Newsworthiness Factor in In-depth Crash Investigation and Reconstruction. Proceeding of Conference of Asean Road Safety 2015. 2015.

Hassan, R., Jubair, AM., Azmi, K. & Bakar, A. Adaptive congestion control mechanism in CoAP Application Protocol for Internet of Things (IoT). 2016 International Conference on Signal Processing and Communication, ICSC 2016; Noida; India. Institute of Electrical and Electronics Engineers Inc. 2016.

Ebole Alpha F., Prof Omotosha O.J (2014). Vehicle Health Monitoring System in A Developing Nation. IJECS Vol.3 Issue 5, May 2014, Page 6238-6249

The Research Council (2009). Road Safety Research Program (RSRP)

Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. Security of the Internet of Things: perspectives and challenges. Wireless Networks, 20(8), 2481-2501. 2014.

Sundmaeker, H., Guillemin, P., Friess, P., & Woelfflí©, S. Vision and Challenges for realising the Internet of Things. Cluster of European Research Projects on the Internet of Things, European Commision. 2010.

Tsai, C. W., Lai, C. F., &Vasilakos, A. V. Future Internet of Things: open issues and challenges. Wireless Networks, 20(8), 2201-2217. 2014.

Aceto, G. Botta, A. Donato, W. & Pescape, A. Cloud Monitoring: A survey. Computer Network (2013), 1286-1389. Published by Elsevier B.V. 2013.

Nuawi, M. Z., Abdullah, S., Ismail, A. R., Zulkifli, R., Zakaria, M. K., & Hussin, M. F. H. A study on ultrasonic signals processing generated from automobile engine block using statistical analysis. WSEAS Transactions on Signal Processing, 4(5), 279-288. 2008.

Fatema, K., Emeakaroha, V. C., Healy, P. D., Morisson, J. P. & Lynn, T. A survery of Cloud monitoring tools: Taxonomy, capabilities and objectives. J.Parallel Distribu. Comput. 74(2014) 2918-2933. 2014.

Alhamazani, K., Rajan, R., Mitra, K., Rabhi, F., Jayaraman, P. P., Khan, S. U., Guabtni, A. & Bhatnagar, V. An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art. Computing, 97(4), 357-377. 2015.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).