A novel approach on transport information system for pre-defined routes using traffic estimation framework and open layer JS
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2019-08-25 https://doi.org/10.14419/ijet.v8i3.29165 -
Open Layer JS, Vehicle Tracking, Traffic Estimation, GPS, Public Transport. -
Abstract
The need for effective transportation is a must for a country like India with multiple states and languages. But due to the complex system of public transport effective services was not considered a priority earlier. When we come to a new place, a hurdle to reach your designated place due to a lack of information on public transport is higher. This is a nationwide problem. The manual timekeeping methodology also became obsolete by the growth of public transport and with a growing population. Indian public bus transport has a huge number of 112 thousand buses with the annual growth of 5percent. To make a tracking and monitoring system for this amount of buses is completely a burden for the budget makers. The present-day GPS tracking systems need at least a twenty-five thousand rupees system per bus. This is not going to possible for present-day Indian scenario. So, we came up with a software-based vehicle tracking in pre-defined routes. This is done using various kinds of collectors with mobile applications and sensors. The role of kinematics is kept higher here than the GPS sensor data. Open-source mapping API is used to give the end-users a visualized outlook. This kind of software system reduces the economic burden for the monitoring and estimation process with 90 percent accuracy in the simulation stages.
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References
[1] Hoang Dat Pham, M. Drieberg, Chi Cuong Nquyen, “Development of vehicle tracking system using GPS and GSM modem,†IEEE Conference on Open System, pp 89-94, 2013
[2] Tripathi, J, Algorithm for Detection of Hot Spots of Traffic through Analysis of GPS Data. A thesis submitted in partial fulfillment of the requirement for the award of the degree of Master of Engineering in Computer Science and Engineering. Thapar University, Patiala, 2010.
[3] Kardashyan, A, ‘New Concept of the Urban and Inter-Urban Traffic’, Proceedings of the World Congress on Engineering and Computer Science 2011, San Francisco, USA, Vol II, WCECS 2011, pp. 19 – 21 October 2011.
[4] E. J. Weyuker and F. I. Vokolos, “Experience with performance testing of software systems Issues, an approach, and case study,†IEEE Trans. Softw. Eng., vol. 26, no. 12, pp. 1147–1156, Dec. 2000. https://doi.org/10.1109/32.888628.
[5] Firefox download stunt sets record for quickest meltdown [Online]. Available http//www.siliconbeat.com/2008/06/17/firefox-download-stunt-sets-record-for-quickest-meltdown/, 2015.
[6] Steve Jobs on MobileMe [Online]. Available http//arstechnica. com/journals/apple.ars/2008/08/05/steve-jobs-on-mobi lemethe- full-e-mail, 2008.
[7] S. G. Stolberg and M. D. Shear. (2013). Inside the race to rescue a health care site, and Obama [Online]. Available http//www.nytimes.com/2013/12/01/us/politics/inside-the-race-to-rescue -a-health-site-and-obama.html
[8] M. J. Harrold, “Testing A roadmap,†in Proc. Conf. Future Softw. Eng., pp. 61–72, 2000. https://doi.org/10.1145/336512.336532.
[9] C.-W. Ho, L. Williams, and A. I. Anton, “Improving performance requirements specification from field failure reports,†in Proc. IEEE 15th Int. Requirements Eng. Conf., pp. 79–88, 2007.
[10] A. Avritzer, J. P. Ros, and E. J. Weyuker, “Reliability testing of rule-based systems,†IEEE Softw., vol. 13, no. 5, pp. 76–82, Sep. 1996. https://doi.org/10.1109/52.536461.
[11] M. S. Bayan and J. W. Cangussu, “Automatic feedback, control-based, stress, and load testing,†in Proc. ACM Symp. Appl. Comput., pp. 661–666, 2008 https://doi.org/10.1145/1363686.1363847.
[12] G. Gheorghiu. Performance vs. load vs. stress testing [Online]. Available http//agiletesting.blogspot.com/2005/02/performance-vs-load-vs-stress- testing.html, 2005.
[13] J. Meier, C. Farre, P. Bansode, S. Barber, and D. Rea. Performance testing guidance for web applications - patterns & practices [Online]. Available http//msdn.microsoft.com/enus/ library/bb924375.aspx, Sep 1997.
[14] B. Dillenseger, “Clif, a framework based on fractal for flexible, distributed load testing,†Ann. Telecommun., vol. 64, pp. 101–120, 2009. https://doi.org/10.1007/s12243-008-0067-9.
[15] D. A. Menasce, “Load testing, benchmarking, and application performance management for the web,†in Proc. Comput. Manag. Group Conf., pp. 271–281, 2002.
[16] D. A. Menasce, “Load testing of web sites,†IEEE Internet Comput., vol. 6, no. 4, pp. 70–74, Jul./Aug. 2002 https://doi.org/10.1109/MIC.2002.1020328.
[17] M. S. Bayan and J. W. Cangussu, “Automatic stress and load testing for embedded systems,†in Proc. 30th Annu. Int. Comput.Softw. Appl. Conf., pp. 229–233, 2006. https://doi.org/10.1109/COMPSAC.2006.119.
[18] C.-S. D. Yang and L. L. Pollock, “Towards a structural load testing tool,†in Proc. ACM SIGSOFT Int. Symp. Softw. Testing Anal., pp. 201–208, 1996. https://doi.org/10.1145/226295.226318.
[19] B. Beizer, Software System Testing and Quality Assurance. NewYork, NY, USA Van Nostrand, Mar. 1984] B. Beizer, Software System Testing and Quality Assurance. New York, NY, USA Van Nostrand, Mar. 1984.
[20] A. Avritzer and E. J. Weyuker, “The automatic generation of load test suites and the assessment of the resulting software,†IEEE Trans. Softw. Eng., vol. 21, no. 9, pp. 705–716, Sep. 1995 https://doi.org/10.1109/32.464549.
[21] S. Abu-Nimeh, S. Nair, and M. Marchetti, “Avoiding denial of service via stress testing,†in Proc. IEEE Int. Conf. Comput. Syst. Appl., pp. 300–307, 2006. https://doi.org/10.1109/AICCSA.2006.205105.
[22] D. Krishnamurthy, J. A. Rolia, and S. Majumdar, “A synthetic workload generation technique for stress testing session-based systems,†IEEE Trans. Softw. Eng., vol. 32, no. 11, pp. 868–882, Nov. 2006 https://doi.org/10.1109/TSE.2006.106.
[23] A. B. Bondi, “Automating the analysis of load test results to assess the scalability and stability of a component,†in Proc. Comput. Meas. Group Conf., pp. 133–146, 2007.
[24] Lee, U.; Magistretti, E.; Gerla, M.; Bellavista, P.; Corradi, A. Dissemination and harvesting of urban data using vehicular sensing platforms. IEEE Trans. Veh. Technol. 58, pp. 882–901, 2009. https://doi.org/10.1109/TVT.2008.928899.
[25] Pavalarajan.S and Thirumurugan.P, 'Prediction Based Location Estimation in Wireless Sensor Network', Asian Journal of Information Technology, Vol. 15, No.2, pp.191-198, 2016.
[26] Pavalarajan.S and Vincent Antony Kumar.A, 'Prediction based object recovery using sequential Monte Carlo method', International Journal of Engineering and Technology 5 (5) PP. 4206 - 4213, 2013.
[27] Pavalarajan.S and Vincent Antony Kumar, 'Object recovery in prediction based network using multidimensional optimization technique', Information, vol. 16, no.11, PP. 8243 - 8252, 2013.
[28] Pavalarajan.S and Ananda Durga Devi, 'Addressing Data Aggregation Issues in Wireless Sensor Network', Middle-East Journal of Scientific Research, Vol. 24, pp.158-165, 2016.
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How to Cite
C. Kiruthikka, D., S. Pavalarajan, D., & C. Kalaiarasan, D. (2019). A novel approach on transport information system for pre-defined routes using traffic estimation framework and open layer JS. International Journal of Engineering & Technology, 8(3), 230-239. https://doi.org/10.14419/ijet.v8i3.29165Received date: 2019-05-06
Accepted date: 2019-08-15
Published date: 2019-08-25