Application of Simulation Technique for Bus Stops Arrangement

Authors

  • Chanikarn Choowong Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Thailand
  • Uttapol Smutkupt Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Thailand

DOI:

https://doi.org/10.56225/ijgoia.v1i3.68

Keywords:

arena, simulation, public transportation, bus stops, Chiang Mai municipal

Abstract

This study uses simulation to improve efficiency of The Chiang Mai Municipality bus no. 2 (Arcade - Chiang Mai airport route). The target is to achieve the travel time from the starting station to the destination station within 1 hour and 45 minutes. The content of the research will present guidelines for the improvement and design of the Chiang Mai Municipality bus service by using simulation software Arena. In order to use the data obtained from the simulation to analyze and improve the service process of the Chiang Mai Municipality bus to be more efficient. From the simulation by reduce the number of stations. Chiang Mai Municipality bus will be able to provide the service as targeted for only 1 hour 45 minutes and reduce travel time up to 13:46 minutes or accounting for 11.01%. In conclusion, Chiang Mai Municipality bus service has a long traveling time causing passengers to wait a long time. The results of simulation found that Chiang Mai Municipality should reduce the number of stations.

References

Agarwal, P. K., & Singh, A. (2010). Performance improvement of urban bus system: issues and solution. International Journal of Engineering Science and Technology, 2(9), 4759–4766.

Aurup, G. M. M., & Cai, T. T. (2010). Simulation of an Interdependent Metro-Bus Transit System to Analyze Bus Schedules from Passenger Perspective. International Conference on Industrial Engineering and Operations Management Dhaka, Bangladesh, January 9 – 10, 2010, 1–6.

Caulfield, B., & O’Mahony, M. (2007). An examination of the public transport information requirements of users. IEEE Transactions on Intelligent Transportation Systems, 8(1), 21–30. https://doi.org/10.1109/TITS.2006.888620

Cheevapattananuwong, P. (2021). A Positive Transition for Local People in an Area of Rapid Economic Development: A Case Study of the Ban Pho and Bangkhla Districts, Chachoengsao Province, Thailand. University of the Sunshine Coast, Queensland.

Chen, J.-L., & Kitingern, K. (2020). A case study of factors affecting the performance of the hotel industry of Chiang Mai in Thailand and the impact of Covid-19: Taking de chai hotel group as an example. Advances in Management and Applied Economics, 10(6), 63–76.

Costa, Á., & Markellos, R. N. (1997). Evaluating public transport efficiency with neural network models. Transportation Research Part C: Emerging Technologies, 5(5), 301–312.

Johnson, A. (2003). Bus transit and land use: illuminating the interaction. Journal of Public Transportation, 6(4), 21–39. https://doi.org/10.5038/2375-0901.6.4.2

Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2003). Simulation with Arena (6th ed.). McGraw-Hil.

Levinson, H. S., Zimmerman, S., Clinger, J., & Rutherford, H. C. S. (2002). Bus rapid transit: An overview. Journal of Public Transportation, 5(2), 1–30. https://doi.org/10.5038/2375-0901.5.2.1

Piriyawat, S. (2014). Public transportation. Retrieved December, 15, 2017.

Sensang, P., Jomvong, T., Santianotai, R., & Chattinnawat, W. (2022). New Product Development Framework based on University-Community Engagement: Case Study of Thailand OTOP Development for Elderly Consumer. International Journal of Global Optimization and Its Application, 1(1), 1–11. https://doi.org/10.56225/ijgoia.v1i1.8

van Exel, N. J. A., & Rietveld, P. (2001). Public transport strikes and traveller behaviour. Transport Policy, 8(4), 237–246. https://doi.org/10.1016/S0967-070X(01)00022-1

Downloads

Published

2022-09-30

How to Cite

Choowong, C., & Smutkupt, U. (2022). Application of Simulation Technique for Bus Stops Arrangement. International Journal of Global Optimization and Its Application, 1(3), 174–181. https://doi.org/10.56225/ijgoia.v1i3.68
Abstract viewed = 142 times