i-manager Publications

Performance Evaluation of Toll Plazas using Queuing Theory

R. Srinivasa Kumar*, K. Vasudha**, P. V. S. Koteswar Rao***, K. Smitha****

* Associate Professor, Department of Civil Engineering, UCE, Osmania University, Hyderabad, Telangana, India.

** Graduate, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

*** Associate Professor, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

**** Assistant Professor, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

Periodicity:March - May'2019
DOI : https://doi.org/10.26634/jce.9.2.14674

Abstract

Ever increasing vehicle traffic has over loaded on the performance of toll collecting plazas. Manual toll collection and Electronic toll collection methods are the most commonly adopted methods of toll collection in India along various sections of National Highways and Expressways, which were constructed and maintained on Public Private Partnership (PPP) mode. Manually operated toll collection at such plazas can be very difficult, especially during peak travel times, particularly during festivals. It is difficult to manage the queue and assign the required number of toll collecting gates operating in order to allow vehicles quickly and safely. Due to this reason, electronic toll collection servers are the best, but they are being less used by many drivers and still use manual toll collection. This results the drivers compelled to stop in front of the server for payment and create long queues and demand more number of toll collecting servers. To overcome this problem, this research has focused on to determine the performance evaluation of a few electronic toll collection and manual toll collection gates on National Highway (NH) 65 and Outer Ring Road. The arrival rate, service rate, delays, and the queue length data were collected. The arrival rates were input into a passion distribution based queuing model to determine the performance parameters of toll plazas and also the required number of servers at the study plazas.

Keywords

Arrival Rate, Service Rate, Toll Plaza, Servers, Delay, Queue Length, Queuing Theory

How to Cite this Article?

Kumar, S. R., Vasudha, K., Rao, P. V. S. K., & Smitha, K. (2019). Performance Evaluation of Toll Plazas using Queuing Theory, i-manager's Journal on Civil Engineering, 9(2), 17-23. https://doi.org/10.26634/jce.9.2.14674

References

[1]. Abdelwahab, H. T. (2017). Traffic micro-simulation model for design and operational analysis of barrier toll stations. Ain Shams Engineering Journal, 8(4), 507-513.

[2]. Boxma, O. J. & Takine, T. (2003). The M/G/1 FIFO queue with several customer classes. Queueing Systems, 45(3), 185-189.

[3]. Busam, A. K. (2005). Optimization of waiting time at toll plazas. FIU Electronic Thesis and Dissertations.

[4]. Guan, C. Q. (2009). Analysis of marine container terminal gate congestion, truck waiting cost, and system optimization [disertasi]. Amerika Serikat (US): New Jersey Institute of Technology.

[5]. Gulewicz, V., & Danko, J. (1995). Simulation-based approach to evaluating optimal lane staffing requirements for toll plazas. Transportation Research Record, 1484, 33.

[6]. Indian Roads Congress. (1990). Guidelines for capacity of roads on rural areas. New Delhi, India.

[7]. Indian Roads Congress. (2002). Guidelines for the design of plain jointed rigid pavements for highways. New Delhi, India.

[8]. Indian Roads Congress. (2012). Guidelines for the design of flexible pavements (IRC: 37-2012). New Delhi, India.

[9]. Klodzinski, J., & Al-Deek, H. M. (2002). Transferability of a stochastic toll plaza computer model. Transportation Research Record, 1811(1), 40-49.

[10]. Kumar, R. S., Rao, P. K., & Chowhan, L. S. (2018). Development of delay equations at signalized intersections in Hyderabad. Development, 4(12).

[11]. Liao G. (2010). Analysis of expressway tollgate capacity: highway engineering. Highway Engineering, 35(3), 153-172.

[12]. Liou, J. J., Chuang, Y. C., & Tzeng, G. H. (2014). A fuzzy integral-based model for supplier evaluation and improvement. Information Sciences, 266, 199-217.

[13]. Little, J. D. (1961). A proof for the queuing formula: L= λ W. Operations Research, 9(3), 383-387.

[14]. Liu, L., Weng, J., & Rong, J. (2012). Simulation Based Mixed ETC/MTC Freeway Toll Station Capacity. In 19^th ITS World Congress ERTICO-ITS Europe European Commission ITS America ITS Asia-Pacific.

[15]. Mudigonda, S., Bartin, B., & Ozbay, K. (2009, January). Microscopic modeling of lane selection and lane changing at toll plazas. In 88^th TRB Annual Conference.

[16]. Pondo-Voigt, S. (2017). Queuing application for toll plaza staffing optimization (Doctoral dissertation, University of Delaware).

[17]. Van Dijk, N. M., Hermans, M. D., Teunisse, M. J., & Schuurman, H. (1999). Designing the Wester schelde tunnel toll plaza using a combination of queueing and simulation. In WSC'99. 1999 Winter Simulation Conference Proceedings.'Simulation-A Bridge to the Future' (Cat. No. 99CH37038) (Vol. 2, pp. 1272-1279). IEEE.

[18]. Vandaele, N., Van Woensel, T., & Verbruggen, A. (2000). A queueing based traffic flow model. Transportation Research Part D: Transport and Environment, 5(2), 121-135.

[19]. Wang, C. (2017, March). Study on toll plaza design based on M/M/1 queue theory. In 2017 7^th International Conference on Education, Management, Computer and Society (EMCS 2017). Atlantis Press.

[20]. Zarrillo, M. L. (2007, May). Capacity analysis of 10 toll plazas on the OOCEA network. In Proceedings of the 18^th IASTED International Conference: Modelling and Simulation (pp. 562-567). ACTA Press.

[21]. Zhao S. J. (2012). The charging capacity and key designing parameters of freeway. Hebei University of Technology.

Performance Evaluation of Toll Plazas using Queuing Theory

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