Abstract
Smart card data contains a lot of useful information, so both of urban bus and intercity bus are built up the contactless smart card system in Taiwan. Although smart card data can offer useful information, it’s still limited to how the passengers are being charged. This paper focuses on the estimation of the destination of the passenger who takes the bus twice a day and presents an algorithm to estimate the destination location for each individual boarding of the bus with a smart card. To evaluate the accuracy of destination estimation algorithm, this paper selected Taichung urban bus which uses mileage charges as a case study area. According to the results, the estimated accuracy is 63% with the 600 m tolerance distance (allowable walking distance), after considering 500 m of the value of tolerance distance error the accuracy increases to 90%.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Barry, J., Newhouser, R., Rahbee, A., Sayeda, S.: Origin and destination estimation in New York City with automated fare system data. Transp. Res. Rec. 1817, 183–187 (2002)
Farzin, J.: Constructing an automated bus origin-destination matrix using fare card and GPS Data in São Paulo, Brazil. Presented at the 87th TRB Annual Conference, Washington, DC (2008)
Gao, L.X., Li, G.Y, Hu, J.H, Liang, J.X.: A calculation method of OD matrix in multi-modal transit network based on traffic big data. In: International Conference on Transportation Information and Safety, pp. 295–298 (2015)
He, L., Nassir, N., Trépanier, M., Hickman, M.: Validating and calibrating a destination estimation algorithm for public transport smart card fare collection systems. No. CIRRELT-2015-52 (2015)
Ma, X.L., Wang, Y.H., Chen, F., Liu, J.F.: Transit smart card data mining for passenger origin information extraction. J. Zhejiang Univ. Sci. C 13(10), 750–760 (2012)
Munizaga, M.A., Palma, C.: Estimation of a disaggregate multimodel public transportation origin-destination matrix from passive smartcard data from Santiago, Chile. Transp. Res. Part C 24, 9–18 (2012)
Nassir, N., Khani, A., Lee, S.G., Noh, H., Hickman, M.: Transit stop-level origin-destination estimation through use of transit schedule and automated data collection system. Transp. Res. Rec. 2263(2011), 140–150 (2011)
Ro, W.Y.: Using Taipei Easycard transation data to explore the O-D table of bus passengers. Thesis, Tamkang University (2008)
Trépanier, M., Chapleau, R., Tranchant, N.: Individual trip destination estimation in a transit smart card automated fare collection system. J. Intell. Transp. Syst. Technol. Plann. Oper. 11, 1–14 (2007)
Wang, W., Attanucci, J.P., Wilson, N.H.: Bus passenger origin-destination estimation and related analyses using automated data collection systems. J. Public Transp. 14, 131–150 (2011)
Yang, D.Y., Chen, J.: Identifying boarding stops of bus passengers with smart cards based on intelligent dispatching data. J. Transp. Syst. Eng. Inf. Technol. 13(1), 76–80 (2013)
Yin, C.Y., Chen, Y.Y., Chen, S.H.: Bus station passenger matching method based on cluster analysis method. J. Transp. Inf. Saf. 28(3), 21–24 (2010)
Zhao, J., Rahbee, A., Wilson, N.H.M.: Estimating a rail passenger trip origin-destination matrix using automatic data collection systems. Comput.-Aided Civil Infrastr. Eng. 22(5), 376–387 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Yeh, CF., Lu, CH. (2019). Algorithm of Trip Destination Estimation Based on E-Card Data – a Case Study on Taichung Urban Bus. In: Zhao, Y., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-04585-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-030-04585-2_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04584-5
Online ISBN: 978-3-030-04585-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)