Dr. Bachu Anilkumar

 
Dr. Bachu Anilkumar
Assistant Professor
Ph.D, IIT Madras (2017)
Ph: +91 6115 233 785, Mobile: +91-9940403188
anilkumar[*AT]iitp.ac.in
Personal Webpage: https://sites.google.com/view/bachu/home
Research Areas :
  • Intelligent Transportation Systems
  • Public Transportation Systems
  • Traveler Information Systems
  • Traffic Flow Modelling
  • Traffic Operations and Management
Courses taught at IITP :
  • CE 111 - Engineering Drawing (Tutorial)
  • CE 213 - Fluid Mechanics
  • CE 318 - Construction Planning and Management
  • CE 324 - Transportation Engineering
  • CE 491 - Design Studio
  • CE 291 - Fluid Mechanics Laboratory
  • CE 392 - Transportation Engineering Laboratory
  • CE 507 - Civil Engineering Design - I
  • CE 543 - Traffic Engineering and Highway Safety
  • CE 554 - Traffic Flow Theory
Other Interests :  
No. of Ph.D Students : Ph.D Students:
  1. Ankit Kumar Kushwaha, Jan 2021 - 2025 (expected)
  2. Gaurav Kumar, Jan 2022 -2026 (expected)
  3. Ramanand Singh, Jul 2022 - 2026 (expected)

M.Tech./M.Sc. Students:

  1. Anuj Kumar, IIT Patna, 2022-23
  2. Rishav Jaiswal, IIT Patna, 2022-23
  3. Piyush Kumar Pandey, IIT Patna, 2021-22
  4. Brajesh Kumar Dubey, IIT Patna, 2020-21
  5. Chaitra Pranesh, NTU Singapore, 2018-19
  6. Aakash Kumar Narayanan, NTU Singapore, 2018-19

B.Tech./B.E. Students:

  1. Hardik Arora, IIT Patna, 2022-23
  2. Gaurav Chaudhary, IIT Patna, 2022-23
  3. Kartik Shinde, IIT Patna, 2022-23
  4. Abhilash Reddy, IIT Patna, 2022-23
  5. Kamal Kaushik, IIT Patna, 2021-22
  6. Ananya Singh, IIT Patna, 2021-22
  7. Gopikrishnan Nair, IIT Patna, 2020-21
  8. Pawan Tiwari, IIT Patna, 2020-21
  9. Huang Peng, NTU Singapore, 2018-19
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 :
  • Affiliate Member, American Society of Civil Engineers (#12313006)
  • Member, Indian Roads Congress (#102665)
  • Member, Transportation Research Group of India
  • Member, Institute of Electrical and Electronics Engineers (#95665888)
Books :
  • Banik, S., B.A. Kumar and L. Vanajakshi. Travel Time Reliability. International Encyclopedia of Transportation, edited by Roger Vickerman, Elsevier, 2021, Pages 109-121
  • Sashank Y., N.A. Navali, A. Bhanuprakash, B.A. Kumar and L. Vanajakshi. (2020) Calibration of SUMO for Indian Heterogeneous Traffic Conditions. In: Arkatkar S., Velmurugan S., Verma A. (eds) Recent Advances in Traffic Engineering. Lecture Notes in Civil Engineering, vol 69, pp 199-214. Springer, Singapore. DOI: 10.1007/978-981-15-3742-4 13
  • 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:
  • Kushwaha, A.K. and B.A. Kumar. (2023). Rule Based First Principles Approach to Identify Safe/Unsafe Behavior of Two-Wheeler Drivers under Mixed Traffic Conditions. IEEE Access. DOI: 10.1109/ ACCESS.2023.3262292.
  • Singh, A., S. Banik, B.A. Kumar, L. Vanajakshi and L. Rilett. (2023). Impact of COVID-19 related Travel Restrictions on the Environment and Travel Time Reliability. ASCE Journal of Transportation Engineering, Part A: Systems. (In Press).
  • Banik, S., B.A. Kumar and L. Vanajakshi. (2022). Stream Travel Time Reliability using GPS Equipped Probe Vehicles. Current Science, Indian Academy of Sciences. Vol. 123(9), pp. 1107-1116, DOI: 10.18520/cs/v123/i9/1107-1116
  • Achar, A., A. Natarajan, R. Regikumar and B.A. Kumar. (2022). Predicting Public Transit Arrival: A Nonlinear Approach. Transportation Research Part-C: Emerging Technologies. Vol. 144, DOI: 10.1016/j.trc.2022.103875.
  • Nair, G.K., B.A. Kumar and L. Vanajakshi. (2022). Mapping Bus and Stream Travel Time using Machine Learning Approaches. Journal of Advanced Transportation. vol. 2022, Article ID 9743070, DOI: 10.1155/2022/9743070.
  • Gracious, R., B.A. Kumar and L. Vanajakshi. (2022). Performance Evaluation of Passenger Information Systems. Transportation in Developing Economies: A Journal of the Transportation Research Group of India, Vol. 8(4), DOI:10.1007/s40890-021-00140-5.
  • Kumar, B.A., K.K. Reddy and L. Vanajakshi. (2021). Bus Travel Time Prediction using Support Vector Machines for High Variance Conditions. Transport. Vol. 36(3), pp. 221-234, DOI:10.3846/ transport.2021.15220
  • Nithishwer, M.A., B.A. Kumar, and L. Vanajakshi. (2021). Deep Learning - Just Data or Domain Related Knowledge adds Value?: Bus Travel Time Prediction as a Case Study. Transportation Letters: The International Journal of Transportation Research, DOI: 10.1080/194278 67.2021.1952042
  • Shalayar, A.K., B.A. Kumar and L. Vanajakshi. (2021). Analysis of Global Positioning System based Bus Travel Time Data and its use for Advanced Public Transportation System Applications. Journal of Intelligent Transportation Systems: Technology, Planning and Operations. Vol. 25(1), pp. 58-76, DOI: 10.1080/15472450.2020.1754818
  • Gracious, R., B.A. Kumar and L. Vanajakshi. (2021). Characterizing Bus Travel Time using Big Data Visualization Techniques. Transportation in Developing Economies: A Journal of the Transportation Research Group of India. Vol. 7(1), DOI : 10.1007/s40890-020-00109-w.
  • Kumar, B.A., R. Gracious, C. Gangrade and L. Vanajakshi. (2020). City Level Route Planning with Time Dependent Networks. Current Science, Indian Academy of Sciences, Vol. 119(4), pp. 700-711. DOI: 10.18520/cs/v111/i4/700-711.
  • Kumar, B.A., S. Mothukuri and L. Vanajakshi. (2020). Numerical Stability of Conservation Equation for Bus Travel Time Prediction using Automatic Vehicle Location Data. International Journal of Intelligent Transportation Systems Research. Vol. 19, pp. 141–154. DOI: 10.1007/s13177-020-00230-5.
  • Dhivyabharathi, B., B.A. Kumar, L. Vanajakshi and A. Achar. (2020). Bus Arrival Time Prediction using Log-normal Auto-Regressive (AR) Modelling. Transportmetrica A: Transport Science. Vol. 16(3), pp. 807-839, DOI: 10.1080/23249935.2020.1720864.
  • 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:

  • Jaiswal, R., B.A. Kumar and M.K. Jha. A Statistical and Machine Learning Framework for Measuring the Economic Impact of Reduced Travel due to COVID-19 in Maryland. The 16th World Conference on Transport Research, 17 - 21 July, 2023 in Montr´eal, Qu´ebec, Canada.
  • Jha, M.K., D.S.K Varma, R. Jaiswal, S. Rankavat and B.A. Kumar. A Machine Learning Approach to Traffic Congestion Hotspot Identification and Prediction. The 16th World Conference on Transport Research, Montr´eal, Qu´ebec, Canada, 17 - 21 July, 2023.
  • Pandey, P.K., H. Arora and B.A. Kumar. Development of Driving Cycles for Electric Buses in Patna, India. 8th International Conference on Models and Technologies for Intelligent Transportation Systems. Nice, France, 14-16 June 2023.
  • Jha, M.K., N.Wanko, B.A. Kumar.. A Machine Learning-based Active Learning Framework to Capture Risk and Uncertainty in Transportation Construction Project Scheduling, Transportation Infrastructure Projects : Conception to Execution, IIT Roorkee, 14-17 Sep 2022.
  • Banik, S., B.A. Kumar and L. Vanajakshi. Stream Travel Time Reliability using GPS Equipped Probe Vehicles. 100th Annual Meeting of the Transportation Research Board,Washington D.C., USA, 21-29 Jan 2021.
  • Reddy, S. and B.A. Kumar. Travel Time Variability Analysis of Public Transit Buses using GPS Data. 13th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC), IIT Bombay, 10-11 Dec 2020.
  • Nithishwer, M., B.A. Kumar and L. Vanajakshi. Application of Deep Learning for Bus Travel Time Prediction. 12th International Conference on COMmunication Systems & NETworkS: Intelligent Transportation Systems Workshop, Bengaluru, India, 7-11 Jan 2020.
  • Gracious, R., B.A. Kumar and 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.
  • Gracious, R., B.A. Kumar and 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.
  • 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, 27-30 October 2019, pp. 503-508, DOI: 10.1109/ITSC.2019.8917055.
  • 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, 27-30 October 2019, pp. 1941-1946, DOI: 10.1109/ITSC.2019.8917456.
  • 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.
Invited Talks :
  • Talk on “Applications of Machine Learning for Efficient Public Transit Systems” in Online Faculty Development Programme On Emerging Transportation Technologies For Sustainable Smart Cities, Thiagarajar College of Engineering, Madurai, Nov 24-26, 2021.
  • Talk on “AI & ML for Efficient Public Transit Systems” in Faculty Development Program on Artificial Intelligence in REAL LIFE, PESITM, Shivamogga, Aug 30 - Sep 06, 2021.
  • Talk on “Empirical to Theory based Modelling of Indian Traffic” in International Conference on Contemporary and Sustainable Infrastructure, SJB Institute of Technology, Bengaluru, India. 22 May 2021.
  • Talk on “Public Transit and its Role in Urban Mobility” in Faculty Development Program on Urban Mobility: Challenges & Opportunities, TKM College of Engineering, Kollam, Kerala, India. 08-14 September 2020.
  • Talk on “Deep Learning – Just Data or Domain Knowledge adds Value?” in Webinar Series of Transportation Research Group of India. 22 May 2020.
  • Talk on “Macroscopic Modeling Concepts and Applications”, AICTE Short Term Training Programme (STTP) on Modeling and Control of Traffic under Mixed Conditions, IIT Madras, Chennai, India. 01-07 December 2019.
Synergistic Activities : Technical Program Committee
  • Workshop on Intelligent Transportation Systems, COMSNETS, 2019

Journals/Conferences Reviewed

  • PC Member - CTRG 2023
  • Co-Chair for Technical Committees of TRG (TCT-H01): Emerging travel technologies (ITS and IOT), 2022-2026
  • Panel Member- IPCC AR6 WGIII Report: Highlights & Implications for India and Bihar, 4th May 2022.
  • Convener for Social Media Committee - Transportation Research Group of India, Nov 2020 - till date
  • Co-Chair - 13th COMSNETS: ITS Workshop, Bengaluru, India, 2021
  • Advisory Committee - International Web Conference in Civil Engineering for a Sustainable Planet (ICCESP-2021), TKM College of Engineering, Kerala.
  • Program Committee - 12th COMSNETS: ITS Workshop, Bengaluru, India, 2020
  • Program Committee - 11th COMSNETS: ITS Workshop, Bengaluru, India, 2019
  • Reviewer (Journals) - IEEE Transactions on Intelligent Transportation Systems Journal of Intelligent Transportation Systems; IEEE Access; IEEE/CAA Journal of Automatica Sinica; IET Intelligent Transport Systems; Journal of Urban Planning and Development; Sustainable Cities and Society; Transportation Letters: The International Journal of Transportation Research; Transportation Research Record; Transportation in Developing Economies; Journal of Transport Geography; Journal of The Institution of Engineers (India): Series A.
  • Reviewer (Conferences) - IEEE Conference on Intelligent Transportation Systems (ITSC); Conference of the Transportation Research Group of India (CTRG); Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC); Transportation Research Board.
  • 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