References
- Billings, D.; Yang, Y.-S. 2006. Application of the ARIMA models to urban roadway travel time prediction a case study, in IEEE International Conference on Systems, Man and Cybernetics, 2006. SMC’06, 8–11 October 2006, Taipei, Taiwan, 2529–2534. http://dx.doi.org/10.1109/icsmc.2006.385244
- Brockwell, P. J.; Davis, R. A. 2013. Introduction to Time Series and Forecasting. Springer. 437 p.
- Cathey, F. W.; Dailey, D. J. 2003. A prescription for transit arrival/departure prediction using automatic vehicle location data, Transportation Research Part C: Emerging Technologies 11(3): 241–264. http://dx.doi.org/10.1016/S0968-090X(03)00023-8
- Chang, H.; Park, D.; Lee, S.; Lee, H.; Baek, S. 2010. Dynamic multi-interval bus travel time prediction using bus transit data, Transportmetrica 6(1): 19-38. http://dx.doi.org/10.1080/18128600902929591
- Chen, G.; Yang, X.; An, J.; Zhang, D. 2012. Bus-arrival-time prediction models: link-based and section-based, Journal of Transportation Engineering 138(1): 60–66. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000312
- Chien, S. I.-J.; Chen, M.; Liu, X. 2003. Use of Neural Network/ Dynamic Algorithms to Predict Bus Travel Times Under Congested Conditions. Final Report FHWA-NJ-2003-019, Federal Highway Administration, US Department of Transportation, Washington, DC. 102 p. Available from Internet: http://ntl.bts.gov/lib/24000/24700/24792/UseDynamicToPredictBusTimes.pdf
- Chien, S. I.; Ding, Y.; Wei, C. 2002. Dynamic bus arrival time prediction with artificial neural networks, Journal of Transportation Engineering 128(5): 429–438. http://dx.doi.org/10.1061/(ASCE)0733-947X(2002)128:5(429)
- Dickens, M. 2011. APTA Ridership Report: Third Quarter. American Public Transportation Association (APTA), Washington, DC. 33 p. Available from Internet: http://www.apta.com/resources/statistics/Documents/Ridership/2011-q3-ridership-APTA.pdf
- Gao, H.; Li, J.; Yang, F. 2013. Bus arrival time prediction based on probe bus fleet, in ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration: Second International Conference on Transportation Information and Safety, 29 June – 2 July 2013, Wuhan, China, 773–779. http://dx.doi.org/10.1061/9780784413036.104
- Ghosh, B.; Basu, B.; O'Mahony, M. 2009. Multivariate short-term traffic flow forecasting using time-series analysis, IEEE Transactions on Intelligent Transportation Systems 10(2): 246–254. http://dx.doi.org/10.1109/TITS.2009.2021448
- Crout, D. 2007. Accuracy and precision of the transit tracker system, Transportation Research Record: Journal of the Transportation Research Board 1992: 93–100. http://dx.doi.org/10.3141/1992-11
- Gurmu, Z. K. 2010. A Dynamic Prediction of Travel Time for Transit Time for Transit Vehicles in Brazil Using GPS Data: A Thesis Submitted to the Department of Civil Engineering & Management, University of Twente, in Partial Ful-fillment of the Requirements for the Degree of Master of Science in Transportation Engineering and Management. Enschede, The Netherlands. 59 p. Available from Internet: http://essay.utwente.nl/59698
- Jeong, R.; Rilett, L. 2005. Prediction model of bus arrival time for real-time applications, Transportation Research Record 1927: 195–204. http://dx.doi.org/10.3141/1927-23
- Kumar, S. V.; Vanajakshi, L. 2013. Pattern identification based bus arrival time prediction, Proceedings of the Institution of Civil Engineers – Transport 167(3): 194–203. http://dx.doi.org/10.1680/tran.12.00001
- Kumar, S. V.; Vanajakshi, L. 2012. Application of multiplicative decomposition and exponential smoothing techniques for bus arrival time prediction, in TRB 91st Annual Meeting Compendium of Papers DVD, 22–26 January 2012, Washington, DC, US, 1–12.
- Lee, S.; Fambro, D. 1999. Application of subset autoregressive integrated moving average model for short-term freeway traffic volume forecasting, Transportation Research Record 1678: 179–188. http://dx.doi.org/10.3141/1678-22
- Li, Z.-P.; Yu, H.; Liu, Y.-C.; Liu, F.-Q. 2008. An improved adaptive exponential smoothing model for short-term travel time forecasting of urban arterial street, Acta Automatica Sinica 34(11): 1404–1409. http://dx.doi.org/10.1016/S1874-1029(08)60062-2
- Lin, W.-H.; Bertini, R. L. 2004. Modeling schedule recovery processes in transit operations for bus arrival time prediction, Journal of Advanced Transportation 38(3): 347–365. http://dx.doi.org/10.1002/atr.5670380306
- Lin, Y.; Yang, X.; Zou, N.; Jia, L. 2013. Real-time bus arrival time prediction: case study for Jinan, China, Journal of Transportation Engineering 139(11): 1133–1140. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000589
- Mazloumi, E.; Moridpour, S.; Currie, G.; Rose, G. 2012. Exploring the value of traffic flow data in bus travel time prediction, Journal of Transportation Engineering 138(4): 436–446. http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000329
- Nickerson, D. M.; Madsen, B. C. 2005. Nonlinear regression and ARIMA models for precipitation chemistry in East Central Florida from 1978 to 1997, Environmental Pollution 135(3): 371–379. http://dx.doi.org/10.1016/j.envpol.2004.11.010
- Padmanaban, R. P. S.; Divakar, K.; Vanajakshi, L.; Subramanian, S. C. 2010. Development of a real-time bus arrival prediction system for Indian traffic conditions, IET Intelligent Transport Systems 4(3): 189–200. http://dx.doi.org/10.1049/iet-its.2009.0079
- Patnaik, J.; Chien, S.; Bladikas, A. 2004. Estimation of bus arrival times using APC data, Journal of Public Transportation 7(1): 1–20. http://dx.doi.org/10.5038/2375-0901.7.1.1
- Peres, J. 2011. Visalia Unveils High-Tech Bus Tracking System. Available from Internet: http://abclocal.go.com/story?section=news/local&id=8361830
- Rajbhandari, R. 2005. Bus Arrival Time Prediction Using Stochastic Time Series and Markov Chains: A Dissertation Submitted to the Faculty of New Jersey Institute of Technology in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Transportation. New Jersey Institute of Technology, Newark. 140 p. Available from Internet: http://archives.njit.edu/vhlib/etd/2000s/2005/njit-etd2005-038/njit-etd2005-038.php
- Raut, R. D.; Goyal, V. K. 2012. Public transport bus arrival time prediction with seasonal and special emphasis on weather compensation changes using RNN, International Journal of Advanced Research in Computer and Communication Engineering 1(6): 378–382.
- Seema, S. R.; Alex, S. 2009. Dynamic bus arrival time prediction using GPS data, in Proceedings of the 10th National Conference on Technological Trends (NCTT 09), 6–7 November 2009, Trivandrum, Kerala, India, 193–197.
- Shalaby, A.; Farhan, A. 2004. Prediction model of bus arrival and departure times using AVL and APC data, Journal of Public Transportation 7(1): 41–61. http://dx.doi.org/10.5038/2375-0901.7.1.3
- Stathopoulos, A.; Karlaftis, M. G. 2003. A multivariate state space approach for urban traffic flow modeling and prediction, Transportation Research Part C: Emerging Technologies 11(2): 121–135. http://dx.doi.org/10.1016/S0968-090X(03)00004-4
- Sun, C.; Sun, M.; Cui, Q. 2011. Bus arrival time prediction based on error weighted of historical and real-time data, in Proceedings of the 3rd International Conference on Information Technology and Computer Science (ITCS 2011), 23–24 July 2011, Huangshi, China, 390–393. http://dx.doi.org/10.1115/1.859742.paper97
- Suwardo; Napiah, M.; Kamaruddin, I. 2010. ARIMA models for bus travel time prediction, Journal of the Institution of Engineers Malaysia 71(2): 49–58.
- Tan, M.-C.; Wong, S. C.; Xu, J.-M.; Guan, Z.-R.; Zhang, P. 2009. An aggregation approach to short-term traffic flow prediction, IEEE Transactions on Intelligent Transportation Systems 10(1): 60–69. http://dx.doi.org/10.1109/TITS.2008.2011693
- Tang, L.; Thakuriah, P. 2012. Ridership effects of real-time bus information system: a case study in the City of Chicago, Transportation Research Part C: Emerging Technologies 22: 146–161. http://dx.doi.org/10.1016/j.trc.2012.01.001
- Thomas, T.; Weijermars, W.; Van Berkum, E. 2010. Predictions of urban volumes in single time series, IEEE Transactions on Intelligent Transportation Systems 11(1): 71–80. http://dx.doi.org/10.1109/TITS.2009.2028149
- Vanajakshi, L.; Subramanian, S. C.; Sivanandan, R. 2009. Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses, IET Intelligent Transport Systems 3(1): 1–9. http://dx.doi.org/10.1049/iet-its:20080013
- Wall, Z.; Dailey, D. J. 1999. An algorithm for predicting the arrival time of mass transit vehicles using automatic vehicle location data, in Proceedings of the Transportation Research Board 78th Annual Meeting, 10–14 January 1999, Washington, DC, US, 1–10.
- Warman, P. 2003. Measured Impacts of Real-Time Control and Information Systems for Bus Services: a Compilation of the Key Findings and Conclusions from Research Projects in Four Selected Urban Areas. Report to UK Department for Transport.
- Williams, B. M.; Hoel, L. A. 2003. Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: theoretical basis and empirical results, Journal of Transportation Engineering 129(6): 664–672. http://dx.doi.org/10.1061/(asce)0733-947x(2003)129:6(664)
- Ye, Q.; Szeto, W. Y.; Wong, S. C. 2012. Short-term traffic speed forecasting based on data recorded at irregular intervals, IEEE Transactions on Intelligent Transportation Systems 13(4): 1727–1737. http://dx.doi.org/10.1109/TITS.2012.2203122
- Yo, B.; Lu, J.; Yu, B.; Yang, Z. 2009. An adaptive bus arrival time prediction model, in Proceedings of the Eastern Asia Society for Transportation Studies: the 8th International Conference of Eastern Asia Society for Transportation Studies, 16–19 November 2009, Surabaya, Indonesia, 7: 1–11.
- Yu, B.; Lam, W. H. K.; Tam, M. L. 2011. Bus arrival time prediction at bus stop with multiple routes, Transportation Research Part C: Emerging Technologies 19(6): 1157–1170. http://dx.doi.org/10.1016/j.trc.2011.01.003
- Yu, B.; Yang, Z.-Z.; Chen, K.; Yu, B. 2010a. Hybrid model for prediction of bus arrival times at next station, Journal of Advanced Transportation 44(3): 193–204. http://dx.doi.org/10.1002/atr.136
- Yu, B.; Yang, Z. Z.; Wang, J. 2010b. Bus travel-time prediction based on bus speed, Proceedings of the Institution of Civil Engineers – Transport 163(1): 3–7. http://dx.doi.org/10.1680/tran.2010.163.1.3
- Yu, B.; Yang, Z. Z.; Yao, B. 2006. Bus arrival time prediction using support vector machines, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 10(4): 151–158. http://dx.doi.org/10.1080/15472450600981009
- Yu, B.; Ye, T.; Tian, X.; Ning, G.; Zhong, S. 2014. Bus travel-time prediction with a forgetting factor, Journal of Computing in Civil Engineering 28(3). http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000274