Urban Bus Arrival Time Prediction Using Linear Regression and Kalman Filter—A Comparison

Author:

Ramkumar Neeraj,Chaudhari Archana

Publisher

Springer Singapore

Reference20 articles.

1. Hindustan Times Article, https://www.hindustantimes.com/mumbai-news/better-buses-best-solution-how-to-revive-mumbai-s-bus-network/story-cKHqtW71eV2tM5IFOAFMrO.html

2. Balasubramaniam, P., Rao, K.R.: An adaptive long-term bus arrival time prediction model with cyclic variations. J. Public Transp. 18(1) (2015)

3. Vanajakshi, L., Subramanian, S.C., Sivanandan, R.: Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses. IET Intell. Transp. Syst. 3(1), 1–9 (2008)

4. Lin, W.H., Zeng, J.: Experimental study of real-time bus arrival time prediction with GPS data. Transp. Res. Rec. 1666, 101–109 (1999)

5. Weigang, L., Koendjbiharie, W., Juca, R.C., Yamashita, Y., Maciver, A.: Algorithms for estimating bus arrival times using GPS data. In: The IEEE 5th International Conference on Intelligent Transportation Systems, pp. 868–873 (2002)

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