THE STUDY OF ESTIMATED TIME OF ARRIVAL FOR PUBLIC TRANSPORTATION SYSTEM IN SURANAREE UNIVERSITY OF TECHNOLOGY USING ITS
Keywords:
Intelligent transport system (ITS), Estimate Time of Arrival (ETA), Smart transitAbstract
Number of road traffic accidents on campus increase due to the increasing of personal vehicles. However, internal public transportation system still not meet students’ traveling needs. The development of internal public transportation system according to student’s needs is main factor. This article presents a model of the estimated time of arrival (ETA) for public mass transit using intelligent transportation system. Simulation processes are created using significant parameters. Delay due to traffic and commute time are presented. The simulation results of each route indicate the estimated time of arrival at each bus stop. Then, the estimated time of arrival are used for bus scheduling timetable developing. Also, the reliability of bus scheduling timetable is the main goal for users’ time management. The use of public transportation reduces road accidents on campus in near future. This work introduces quality of services in term of ETA and quality of experiences in term of passengers’ satisfaction assessments.
References
Agafonov, A. and Myasnikov, V. (2015). An adaptive algorithm for public transport arrival time prediction based on hierarhical regression. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems. Sep 15-18 2015, Gran Canaria, Spain, p. 2,776-2,781.
Billones, R.K.C., Sybingco, E., Lim, L.A.G., Culaba, A.B., Vicerra, R.R.P., Fillone, A.M., and Dadios, E.P. (2018). Vision-based passenger activity analysis system in public transport and bus stop areas. In: 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control. Environment and Management (HNICEM), Nov 29-Dec 2 2018, Baguio City, Philippines, p. 1-6.
Devarapalli, H.N.R.K. (2015). Predicting Bus Arrival Time based on Traffic Modelling and Real-time Delay. Int. J. of Eng. Research and Technol. (IJERT)., 4(6):421-426.
Ding, R. and Zeng, Q.A. (2009). A clustering-based multi-channel vehicle-to-vehicle (V2V) communication system. In: 2009 First International Conference on Ubiquitous and Future Networks. June 7-9 2009, Hong Kong, China, p. 83-88.
Lam, C.T., Ng, B., and Leong, S.H. (2019). Prediction of Bus Arrival Time Using Real-Time on-Line Bus Locations. In: 2019 IEEE 19th International Conference on Communication Technology (ICCT). Oct 16-19 2019 , Xi’an China, p. 473-478.
Yang, D., Zhao, F., Liu, K., Lim, H.B., Frazzoli, E., and Rus, D. (2012). A gps pseudorange based cooperative vehicular distance measurement technique. In: 2012 IEEE 75th Vehicular Technology Conference (VTC Spring). May 6-9, 2012, Yokohama, Japan, p. 1-5.
Zaghal, R., Thabatah, K., and Salah, S. (2017). Towards a smart intersection using traffic load balancing algorithm. In: 2017 Computing Conference. July 18-20 2017, London, UK, p. 485-491.
