ENHANCE SYSTEM UTILIZATION AND WAITING QUEUE MODELS WITH MODIFIED EHO BASED TICKET MACHINE SYSTEM

Abstract

This study is used to propose a modified elephant breed optimization (EHO) algorithm that modifies the optimal adjustment of the new mid-range functional theorem into an automated ticketing system, which achieves superior performance over a large area. In order to improve the response of the system, a modified EHO algorithm has been proposed. Initially, the modified EHO is explored to improve the prediction error from the physical sequence. The modified EHO output to be optimal and find the best value. Increase system utilization based on the use of the proposed modified EHO technique and at the same time increase customer satisfaction with the automated ticketing system. The innovation of the proposed modified EHO algorithm is the strong performance and the increased level of reliability and flexibility in resolving the system time for each customer. The proposed technique will help to achieve the optimal adaptation parameters of the automatic ticketing system and improve the stability of the system. The proposed modified EHO algorithm is being implemented at Makkasan Station, Airport Rail Connect, Bangkok The effectiveness of the proposed technique is verified by comparative analysis with existing methods such as particle swarm optimization (PSO) and the Cuttlefish algorithm (CFA). The comparative results demonstrate the effectiveness of the proposed modified EHO algorithm and confirm its ability to solve related problems.

Keywords:

:

: Waiting time prediction, Ticket machine system, Modified EHO, PSO and CFA

Full Text:

PDF

References

References: [1]. Ghazal, M., Hamouda, R. and Ali, S., 2015, October. An iot smart queue management system with real-time queue tracking. In 2015 Fifth International Conference on e-Learning (econf) (pp. 257-262). IEEE. [2]. Hong, T.P., Soh, A.C., Jaafar, H. and Ishak, A.J., 2013, December. Real-time monitoring system for parking space management services. In 2013 IEEE Conference on Systems, Process & Control (ICSPC) (pp. 149-153). IEEE. [3]. Pawłowicz, B., Salach, M. and Trybus, B., 2018, September. Smart city traffic monitoring system based on 5G cellular network, RFID and machine learning. In KKIO Software Engineering Conference (pp. 151-165). Springer, Cham. [4]. Liu, J., Qi, X., Xu, Y., Chen, Y. and Zhang, C., 2018. Queuing Strategy Optimization with Restricted Service Resources. Wireless Personal Communications, 102(4), pp.2681-2699. [5]. Li, Y., Li, T.H., Liu, R., Yang, J. and Lee, J., 2013, July. Application management services analytics. In Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics (pp. 366-371). IEEE. [6]. He, B., Zhang, H., Wen, K. and Lu, G., 2019, September. Machine Learning based integrated pedestrian facilities planning and staff assignment problem in transfer stations. In RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019 (No. 069, pp. 387-408). Linköping University Electronic Press. [7]. Vikaliana, R., 2017. Analysis of Commuter Line Ticket Purchase Queuing System in Bogor Station. The Management Journal of Binaniaga, 2(02), pp.35-44. [8]. SUN, P.Y., 2016, December. The Subway Ticket System's Design and Research Based on Internet. In International Conference on Computer Networks and Communication Technology (CNCT 2016) (pp. 713-721). Atlantis Press. [9]. Arbulla, B. and Bucchi, M., 2015. “Queue up, you stupid!”: communicating about technology problems. An exploratory study of warning messages posted on machines in public places. Journal of Science Communication, 14(3), p.Y02. [10]. Ghazal, M., Hamouda, R. and Ali, S., 2016. A Smart Mobile System for the Real-Time Tracking and Management of Service Queues. International Journal of Computing and Digital Systems, 5(04). [11]. Li, G., Xi, M. and Ni, L., 2016. A Queuing Simulation Research of Fare Collection Equipments in Xi’an Subway Longshouyuan Station. In Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation (pp. 429-436). Springer, Berlin, Heidelberg. [12]. Shaofei, C., Desheng, X., Yang, Y., Shuang, Z. and Ying, C., Research on the Applicability of Simulation Software of Three Stages Queuing Mode-Taking the Subway Entrance Service Hall as an Example. [13]. Xian, T.C., Hong, C.W. and Hawari, N.N., 2016, October. Modeling and simulation of queuing system for customer service improvement: A case study. In AIP Conference Proceedings (Vol. 1782, No. 1, p. 040020). AIP Publishing LLC. [14]. Carvalho, A. and Belo, O., 2016, September. Predicting waiting time in customer queuing systems. In 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 155-159). IEEE. [15]. Mubarokh, A., Wahyuddin, M.I. and Ningsih, S., 2020. Queuing System Design On Android-Based Bank Teller Method Using Multi Channel-Single Phase: Queuing System Design On Android-Based Bank Teller Method Using Multi Channel-Single Phase. Jurnal Mantik, 3(4), pp.92-96. [16]. Lin, P., Shen, L., Zhao, Z. and Huang, G.Q., 2019. Graduation manufacturing system: synchronization with IoT-enabled smart tickets. Journal of Intelligent Manufacturing, 30(8), pp.2885-2900. [17]. Wang, H., Yao, Y., Hou, Q., Wang, X., Zeng, L., Qiu, W., He, D. and Wang, Q., 2020, December. Design of Work Ticket System and Scheduling Algorithm based on Blockchain. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 858-863). IEEE. [18]. Lestari, S.P. and Elvyanti, S., 2020, May. Mini tickets printing machine based on IOT with mobile information using a smartphone. In IOP Conference Series: Materials Science and Engineering (Vol. 850, No. 1, p. 012022). IOP Publishing. [19]. Yao, E., Wang, X., Yang, Y., Pan, L. and Song, Y., 2021. Traffic Flow Estimation Based on Toll Ticket Data Considering Multitype Vehicle Impact. Journal of Transportation Engineering, Part A: Systems, 147(2), p.04020158.

Refbacks

• There are currently no refbacks.