Measuring the Capacity and Transaction Time of Cash and Electronic Toll Collection Systems

Authors

  • Rudy Hermawan Karsaman Transportation Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung
  • Yans Mahendra Secretariat General of Ministry of Public Works
  • Harmein Rahman Transportation Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung
  • Sony Sulaksono Transportation Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung

DOI:

https://doi.org/10.5614/j.eng.technol.sci.2014.46.2.5

Abstract

A long queue can occur at tollgates due to the amount of transaction time required to perform ticket payment and toll fee collection. This problem can be addressed by the use of an electronic toll collection (ETC) system. A case study conducted on the Jakarta Intra Urban, Cikupa-Merak, and Cawang Pluit Toll Roads suggests that the queueing at the tollgates when modelled followed a Poisson distribution. The average cash transaction time was approximately 5 to 6 seconds, while the ETC transaction time was only 4 seconds. Furthermore, the capacity of the cash system gate was 550 to 620 vehicles/hour (which is above the minimum service standard of 450 vehicles/hour),whereas the electronic gate capacity was 770 to 870 vehicles/hour. This study demonstrates that the ETC system is more effective than the cash system in terms of reducing the number of queueing vehicles.

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References

Karsaman, R.H., Evaluation of ETC system applications in Indonesia, National Conference on Information and Communication e-Indonesian Initiative Forum V, June 2009, Bandung.

Chaudary, R.H., A Model for the Benefits of Electronic Toll Collection System, Magister Thesis, University of South Florida,Florida, 2003.

Riley, P.F., The Tolls of Privacy: An Underestimated Roadblock for Electronic Toll Collection Usage, Computer Law & Security Report,24, pp. 521-528, 2008.

Kamarulazizi, K. & Ismail, W., Electronic Toll Collection System UsingPassiveRFID Technology, Journal of Theoretical and Applied Information Technology,22(2), pp. 70-76, 2010.

Ito, T., Process Simulation Approach to Design and Evaluation of Toll Plaza with ETC, I.J. of Simulation, 6(5), pp. 14-21, 2004.

Shitama, T., Horiguchi, R., Akahane, H.& Xing, J., Traffic Simulation for Expressway Toll Plaza Based on Successive Vehicle Tracking Data, Proceeding of International Symposium of Transport Simulation, pp. 1-21, Lausanne, Switzerland, September 2006.

Poon, N.,&Dia, H., Evaluation of Toll Collection Performance Using Traffic Simulation,27th Conference of Australian Institutes of Transport Research (CAITR 2005), AITR, Brisbane, 7-9 December 2005.

Minister of Public Works Decree No. 392/PRT/M/2005 about Toll Road Minimum Service Standard, Jakarta.

Ministry of Public Works, Indonesia Highway Capacity Manual (IHCM),Jakarta, 1997.

Sasongko, A.S.P., Tandem Toll Booth to Alleviate Collection Delay, Magister Thesis, Bandung, InstitutTeknologi Bandung, 1987.

Chang, J., Oh, C., &Chang, M., Effects of traffic condition (v/c) on safety at freeway facility sections, Transportation Research Circular E-C018: 4th International Symposium on Highway Capacity, 1998.

Hillier, F.S., & G.J., Lieberman, Introductions to Operations Research, 8th Ed.,Singapore, McGraw Hill Book Co, 1995.

Tamin, O.Z., Planning, Modelling, and Transportation Engineering: Theory, Example and Application(Text in Indonesian), Bandung, Penerbit ITB, 2008.

Taha, H.A., Operation Research an Introduction.8th Edition, New Jersey, Pearson Prentice Hall, 1997.

Morlok, E.K., Introduction of Transportation Planning and Engineering, New York, McGrawhill Book Co, 1978.

Levinson, D. & Chang, E., A Model for Optimizing Electronic Toll Collection Systems, Transportation Research Part A: Policy and Practice, 37(4), pp. 293-314, 2003.

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Published

2014-07-01

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Articles