Academics

Dr. Bachu Anilkumar

 
Dr. Bachu Anilkumar
Assistant Professor
Ph.D, IIT Madras (2017)
Ph: +91-612-302 8785, Mobile: +91-9940403188
anilkumar[*AT]iitp.ac.in
Personal Webpage: https://sites.google.com/view/bachu/home
Research Areas :
  • Public Transportation Systems
  • Traveler Information Systems
  • Traffic Flow Modelling
  • Traffic Operations and Management
Courses taught at IITP :
  • CE 213 – Fluid Mechanics
  • CE 291 – Fluid Mechanics laboratory
  • CE 111 – Engineering Drawing (Tutorial)
Other Interests :  
No. of PhD Students :
Professional Experience :
  • Research Fellow, Energy Research Institute at NTU (ERI@N), Nanyang Technological University, Singapore, Jul 2018 – May 2019
  • Senior Project Officer, Intelligent Transportation Systems Laboratory, IIT Madras, Jul 2017 – Jun 2018
  • Pre-Doctoral Fellow, Intelligent Transportation Systems Laboratory, IIT Madras, Dec 2016 – Jun 2017
Awards & Honours :
  • Institute Research Award, IIT Madras, Apr 2017
  • Best Paper, 1st IEEE ICITE – Singapore, Aug 2016
  • Best paper, 3rd CTRG – Kolkata, Dec 2016
  • Best PhD Student, Dept. of Civil Engineering, IIT Madras, Apr 2016
  • Gold Medal, BIET Hyderabad, Jul 2012
Member of Professional bodies :
  • IEEE Intelligent Transportation Systems Society
Books :
  • Sashank, Y., A.N. Navali, A.B. Prakash, B.A. Kumar, and L. Vanajakshi. Calibration of SUMO for Indian Heterogeneous Traffic Conditions. Springer. (In press).
Publications : Refereed Journals:
  • Kumar, B.A., H. Prasath, L. Vanajakshi. Dynamic Bus Scheduling based on Real-Time Demand and Travel Time. International Journal of Civil Engineering. (In press)
  • Kumar, B.A., K.K. Reddy, and L. Vanajakshi. Bus Travel Time Prediction using Support Vector Machines for High Variance Conditions. Transport. (In press).
  • Achar, A., D. Bharathi, B.A. Kumar, and 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
  • 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. Vol. 2672(31), pp. 87-98, DOI: 10.1177/0361198118770175.
  • 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. 2017.1378102.
  • 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.
  • 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, Vol. 143(6), pp. 04017012:1-15, DOI: 10.1061/JTEPBS.0000029.
  • Kumar, B.A., R. Jairam, L. Vanajakshi, and S. Arkatkar. (2017). Real Time Bus Travel Time Prediction using k-NN Classifier. Transportation Letters: The International Journal of Transportation Research, DOI: 10.1080/19427867.2017.1366120.
  • 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, Vol. 65(9), ISSN: 1825-3997.
  • 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. Vol. 15(8), pp. 1173-1185, DOI: 10.1007/s40999-017-0210-y.
  • 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 Transportation Research Group of India. Vol. 3(13). DOI: 10.1007/s40890-017-0043-z.
  • 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.
  • Kumar, B.A., S. Mothukuri, L. Vanajakshi, and S.C. Subramanian. (2015). 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.

International Conference Proceedings:

  • Achar, A., R. Regikuamr, and B.A. Kumar, Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019.
  • Kumar, B.A., H. Prasath, and L. Vanajakshi, Demand and Travel Time Responsive Real-Time Bus Scheduling. 98th Annual Meeting of the Transportation Research Board, Washington D.C., USA, 13-17 Jan 2019.
  • 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, 7-11 Jan 2019.
  • 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 the Transportation Research Board, Washington D.C., USA, 07-11 Jan 2018.
  • Kumar, B.A., V. Kumar, K.K. Reddy, L. Vanajakshi, and S.C. Subramanian, Bus Travel Time Prediction using Machine Learning Approaches. Indo-US workshop on Big Data Analysis for Transportation Engineering Systems, Indian Institute of Technology Madras, Chennai, India, 05-06 December 2016.
  • 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), IEEE, Nanyang Technological University, Singapore. pp. 18-22, 20-22 August 2016.
  • Kumar, B.A. and L. Vanajakshi, Use of Data Mining for Improved Bus Travel Time Prediction. 4th CEW, TU Delft, Delft, The Netherlands, 29 Jun - 1 Jul 2016.
  • 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, National Research Council, Washington. D.C., USA, 07-11 January 2016.
  • 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, Transportation Research Group of India, Kolkata, India, 17-20 December 2015.
  • 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, Transportation Research Group of India, Kolkata, India, 17-20 December 2015.
  • Kumar, B.A., S. Mothukuri, L. Vanajakshi, and S.C. Subramanian, Analytical Approach to Identify the Optimum Inputs for a Bus Travel Time Prediction Method. 94th Annual Meeting of Transportation Research Board, National Research Council, Washington. D.C., USA, 11-15 January 2015.
  • 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, 10-12 December 2014.
  • 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, National Research Council, Washington. D.C., USA., 12-16 January 2014,
  • 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, National Research Council, Washington. D.C., USA, 12-16 January 2014.
  • Kumar, B.A., L. Vanajakshi, and S.C. Subramanian, Day-Wise Travel Time Pattern Analysis under Heterogeneous Traffic Conditions. 2nd Conference of the Transportation Research Group of India, Transportation Research Group of India, Agra, India, 12-15 December 2013.

National Conference Proceedings:

  • 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, National Institute of Technology Calicut, Calicut, India, 12-13 May 2014.
  • Sashank, Y., A.N. Navali, A.B. Prakash, B.A. Kumar, and L. Vanajakshi, Calibration of SUMO for Indian Heterogeneous Traffic Conditions. Recent Advances in Traffic Engineering, Sardar Vallabhai National Institute of Technology, Surat, India, 09-11 August 2018.

Technical Reports:

  • Vanajakshi, L., S.C. Subramanian, A.Koppineni, K. Chaitanya, K. Siddharth, R. Behera, R.P.S. Padmanabhan, S.V. Kumar, and 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.
  • 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.

Patents (filed):

  • Vanajakshi, L., B. Dhibyabharathi, B.A. Kumar, A. Achar, and R. Jayaprakash. A System for Bus Travel Time Prediction using Temporal Correlations.
  • Achar, A., B.A. Kumar, B. Dhibyabharathi, L. Vanajakshi, and R. Jayaprakash. A Bus Arrival Time Prediction System Exploiting Spatial Correlations.
  • 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.
  • Achar, A., R. Rohith, B.A. Kumar, L. Vanajakshi, and R. Jayaprakash. Bus Travel Time Prediction exploiting Non-linear Correlations.
  • 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.
Presentations :  
Synergistic Activities : Technical Program Committee
  • Workshop on Intelligent Transportation Systems, COMSNETS, 2019

Journals/Conferences Reviewed

  • Sustainable Cities and Society
  • Transportation Research Interdisciplinary Perspectives
  • Journal of Transport Geography
  • Transportation Research Record: Journal of Transportation Research Board
  • Journal of Intelligent Transportation Systems
  • Journal of The Institution of Engineers (India): Series A
  • IEEE Access
  • IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Transportation Research Group of India
  • Transportation Planning and Implementation Methodologies for Developing Countries
  • Advances in Mechanical Engineering

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