Publications

The updated list can be found in Google Scholar.

Journals

  1. Kumar, B.A., K.K. Reddy, and L. Vanajakshi. Bus Travel Time Prediction using Support Vector Machines for High Variance Conditions. Taylor and Francis - Transport. (In Press).

  2. Kumar, B.A., H. Prasath, L. Vanajakshi. (2019). Dynamic Bus Scheduling based on Real-Time Demand and Travel Time. International Journal of Civil Engineering. pp. 1-10, DOI: 10.1007/s40999-019-00445-y

  3. Achar, A., Dhivya Bharathi, B.A. Kumar, L. Vanajakshi. (2019). Bus Arrival Time Prediction: A Spatial Kalman Filter Approach. IEEE Transactions on Intelligent Transportation Systems. pp. 1-10, DOI: 10.1109/TITS.2019.2909314

  4. Jairam, R., B.A. Kumar, S. Arkatkar, and L. Vanajakshi. (2018). Performance Comparison of Bus Travel Time Prediction Models across Indian Cities. Transportation Research Record: Journal of the Transportation Research Board, DOI: 10.1177/03611981187701 75

  5. Kumar, B.A., L. Vanajakshi, and S.C. Subramanian. (2018). A Hybrid Model Based Method for Bus Travel Time Estimation. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. Vol. 22(5), pp. 390-406, DOI: 10.1080/15472450.2017.13 78102.

  6. Kumar, B.A., L. Vanajakshi, and S. C. Subramanian. (2017). Bus Travel Time Prediction using a Time-Space Discretization Approach. Transportation Research Part-C: Emerging Technologies. Vol. 79, pp. 308-332, DOI: 10.1016/j.trc.2017.04.002.

  7. Kumar, B. A., L. Vanajakshi, and S. C. Subramanian (2017). Pattern-Based Time-Discretized Method for Bus Travel Time Prediction. Journal of Transportation Engineering, Part A: Systems, ASCE, DOI: 10.1061/JTEPBS.0000029.

  8. Kumar, B. A., R. Jairam, L. Vanjakshi and S. Arkatkar (2017). Real time bus travel time prediction using k-NN classifier. Transportation Letters: The International Journal of Transportation Research. DOI: 10.1018/19427867.2017.1366120.

  9. Kumar, B.A., V. Kumar, L. Vanajakshi, and S. C. Subramanian. (2017). Performance Comparison of Data Driven and Less Data Demanding Techniques for Bus Travel Time Prediction. European Transport, 65: 9.

  10. Behera, R., B.A. Kumar, and L. Vanajakshi. (2017). Real Time Identification of Inputs for a BATP Systems using Data Analytics. International Journal of Civil Engineering. ISSN:2383-3874, pp. 1-13, DOI: 10.1007/s40999-017-0210-y.

  11. Dhivyabharathi, B., B. A. Kumar, L. Vanajakshi, and M. Panda. (2017). Particle Filter for Reliable Bus Travel Time Prediction under Indian Traffic Conditions. Transportation in Developing Economies: Journal of the Transportation Research Group of India. 3: 13. DOI: 10.1007/s40890-017-0043-z

  12. Reddy, K. K., B. A. Kumar, and L. Vanajakshi (2016). Bus Travel Time Prediction under High Variability Conditions. Current Science, Indian Academy of Sciences, Vol. 111, pp. 700-711. DOI: 10.18520/cs/v111/i4/700-711.

  13. Kumar, B. A., S. Mothukuri,, L. Vanajakshi, and S. C. Subramanian (2015). An Analytical Approach to Identify the Optimum Inputs for a Bus Travel Time Prediction Method. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2535, pp. 25-34, DOI: 10.3141/2535-03.

  14. Kumar, B.A., L. Vanajakshi, and S.C. Subramanian. (2013). Day-Wise Travel Time Pattern Analysis under Heterogeneous Traffic Conditions. Procedia of Social and Behavioral sciences, Vol. 104, pp. 746-754. DOI: 10.1016/j.sbspro.2013.11.169


Conference Proceedings


  1. Gracious, R., B.A. Kumar, L. Vanajakshi. Performance Evaluation of Passenger Information Systems. 5th Conference of the Transportation Research Group of India, Transportation Research Group of India, Bhopal, India, 18-21 December 2019.

  2. Gracious, R., B.A. Kumar, L. Vanajakshi. Characterizing Bus Travel Time using Big Data Visualization Techniques. 5th Conference of the Transportation Research Group of India, Transportation Research Group of India, Bhopal, India, 18-21 December 2019.

  3. Kumar, B.A., A. Achar, Dhivya Bharathi, and L. Vanajakshi. A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction. 2019 22nd IEEE Intelligent Transportation Systems Conference - ITSC 2019, Auckland, New Zealand, 2019.

  4. Narayanan, A., C. Pranesh, S. Nagavarapu, B.A. Kumar, and J. Dauwles. Data-driven Models for Short-term Travel Time Prediction. 2019 22nd IEEE Intelligent Transportation Systems Conference - ITSC 2019, Auckland, New Zealand, 2019.

  5. Achar, A., R. Regikuamr, B.A. Kumar. Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019.

  6. Kumar, B. A., Prasath, H., L. Vanajakshi. Demand and Travel Time Responsive Real-Time Bus Scheduling. 98th Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2019.

  7. George, R., B.A. Kumar, L. Vanajakshi, and S.C. Subramanian. Traffic Density Estimation under Lane Indisciplined Conditions using Strips along the Road Width. 11th International Conference on COMmunication Systems & NETworkS: Intelligent Transportation Systems Workshop, Bengaluru, India. 2019.

  8. Sashank, Y., A.N. Navali, A.B. Prakash, B.A. Kumar, L. Vanajakshi. Calibration of SUMO for Indian Heterogeneous Traffic Conditions. Recent Advances in Traffic Engineering, Sardar Vallabhai National Institute of Technology, Surat, India, 2018.

  9. Jairam, R., B.A. Kumar, S. Arkatkar, and L. Vanajakshi. Performance Comparison of Bus Travel Time Prediction Models across Indian Cities. 97th Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2018.

  10. Kumar, B. A., V. Kumar, and K. K. Reddy, L. Vanajakshi, and S. C. Subramanian. Bus travel time prediction using machine learning approaches. Presented poster in Indo-US workshop on Big Data Analysis for Transportation Engineering Systems, Indian Institute of Technology Madras, Chennai, India, 2016.

  11. Kumar, B. A. and L. Vanajakshi. Use of Data Mining for Improved Bus Travel Time Prediction. 4th CEW, TU Delft, Netherlands. 2016.

  12. Dhivyabharathi, B., B. A. Kumar, and L. Vanajakshi. Real time bus arrival time prediction system under Indian traffic condition. 2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE), Singapore, 2016, pp. 18-22.

  13. Reddy, J. K. K., B. A. Kumar, and L. Vanajakshi. Bus Travel Time Prediction using Support Vector Machines for High Variance Conditions. 95th Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2016.

  14. Dhivyabharathi, B., B. A. Kumar, L. Vanajakshi, and M. Panda. Particle Filter for Reliable Bus Travel Time Prediction under Indian Traffic Conditions. 3rd Conference of the Transportation Research Group of India, Kolkata, INDIA. 2015.

  15. Reddy, K. K., B. A. Kumar, and L. Vanajakshi. Bus Travel Time Prediction using Support vector Machines. 3rd Conference of the Transportation Research Group of India, Kolkata, INDIA. 2015.

  16. Kumar, B. A., S. Mothukuri,, L. Vanajakshi, and S. C. Subramanian. An Analytical Approach to Identify the Optimum Inputs for a Bus Travel Time Prediction Method. 94th Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2015.

  17. Kumar, B. A., S. Mothukuri, L. Vanajakshi, and S. C. Subramanian. A Spatio-Temporal Discretization Approach for Real Time Bus Travel Time Prediction Using A Linear Traffic Model. 11th Transportation Planning and Implementation Methodologies for Developing Countries, Indian Institute of Technology Bombay, Mumbai, India, 2014.

  18. Kumar, B. A., L. Vanajakshi, and S. C. Subramanian. Pattern-Based Bus Travel Time Prediction under Heterogeneous Traffic Conditions. 93rd Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2014.

  19. Kumar, V., B. A. Kumar, L. Vanajakshi, and S. C. Subramanian. Comparison of Model based and Machine Learning Approaches for Bus Travel Time Prediction. 93rd Annual Meeting of Transportation Research Board, Washington. D. C., USA. 2014.

  20. Kumar, B. A., L. Vanajakshi, and S. C. Subramanian. Pattern-Based Spatial Formulation for Bus Travel Time Prediction under Mixed Traffic Conditions. Colloquium on Transportation Systems Engineering and Management, NIT Calicut, INDIA. 2014.

  21. Kumar, B. A., L. Vanajakshi, and S. C. Subramanian. Day-Wise Travel Time Pattern Analysis under Heterogeneous Traffic Conditions. Procedia of Social and Behavioral sciences, 104, 746-754. 2013. DOI: 10.1016/j.sbspro.2013.11.169


Technical Reports


  1. Vanajakshi, L., B.A. Kumar, B.R. Muthurajan. Use of Global Positioning System (GPS) Data from MTC Bus Routes to Develop APTS/ATIS Applications. Technical Report. Center of Excellence in Urban Transport, The Ministry of Urban Development, Govt. of India. 2018.

  2. Vanajakshi, L., S.C. Subramanian, A.Koppineni, K. Chaitanya, K. Siddharth, R. Behera, R.P.S. Padmanabhan, S.V. Kumar, B.A. Kumar, Development of a Real Time Bus Arrival Time Prediction System under Indian Traffic Conditions. Technical Report. Center of Excellence in Urban Transport, The Ministry of Urban Development, Govt. of India. 2016.


Patents


  1. Vanajakshi, L., B. Dhivyabharathi, B.A. Kumar, A. Achar, and R. Jayaprakash. A System for Bus Travel Time Prediction using Temporal Correlations. ICSR IDF No.:1647. (Filed).

  2. Achar, A., B.A. Kumar, B. Dhivyabharathi, L. Vanajakshi, and R. Jayaprakash. A Bus Arrival Time Prediction System Exploiting Spatial Correlations. ICSR IDF No.:1649. (Filed).

  3. Achar, A., R. Rohith, B.A. Kumar, L. Vanajakshi, and R. Jayaprakash. Bus Travel Time Prediction capturing Non-linear Spatial Correlations using Support Vector Machines. ICSR IDF No.:1790. (Filed).

  4. Achar, A., R. Rohith, B.A. Kumar, L. Vanajakshi, and R. Jayaprakash. Bus Travel Time Prediction exploiting Non-linear Correlations. ICSR IDF No.:1819. (Filed).

  5. Kumar, B.A., A. Achar, D. Bharathi, L. Vanajakshi, and R. Jayaprakash. A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction. ICSR IDF No.:1863. (Filed).