Research Articles in Journals

• Kranti Kumar, V. K.Katiyar, M. Parida, K. Rawat. Mathematical modeling of road traffic noise prediction, International Journal of Applied Mathematics and Mechanics (IJAMM), 7 (4), 21-28, 2011.
• Kranti Kumar, M. Parida, V. K. Katiyar. Road Traffic Noise Prediction with Neural Networks- A Review, An International Journal of Optimization and Control: Theories and Applications (IJOCTA), 2(1), 29-37, 2012, https://doi.org/10.11121/ijocta.01.2012.0059
• Kranti Kumar, M. Parida, V. K. Katiyar. Prediction of urban traffic noise using artificial neural network approach, Environmental Engineering and Management Journal (EEMJ). 13 (4),            817-826,     2014, http://www.ecozone.ro/reviste.php?revista=21&volum=56&numar=153&RID=26336
• Kranti Kumar, M. Parida, V. K. Katiyar. Optimized Height of Noise Barrier for Non-Urban Highway using Artificial Neural Network,International Journal of Environmental Science and Technology (IJEST Springer), 11 (3), 719-730, 2014, https://doi.org/10.1007/s13762- 013-0257-5
• Kranti Kumar, M. Parida, V. K. Katiyar. Short term traffic flow prediction in heterogeneous condition using artificial neural network”, Transport (Taylor and Francis), 30(4), 397-405, 2015, https://doi.org/10.3846/16484142.2013.818057
• R. K. Mishra, K. Nair, Kranti Kumar, A. Shukla. Dynamic noise mapping of road traffic in an urban city, Arabian Journal of Geosciences, 14, 122, 2021,https://doi.org/10.1007/s12517-020-06373-9.
• Nisha Singh, Kranti Kumar, P Goswami, H Jafari. Analytical method to solve the localfractional vehicular traffic flow model. Mathematical Methodsin Applied Sciences, 2021;1-19. https://doi.org/10.1002/mma.8027
• Nisha Singh, Kranti Kumar. A review of bus arrival time prediction using artificial intelligence.WIREs Data Mining and Knowledge Discovery, 2022, https://doi.org/10.1002/widm.1457
• Jitendra Kumar, Shubhashree Sahu, Puja Bharti, Ashok Kumar, Kranti Kumar, Abhijit Sarkar & Rajni Devi. Relativistic compact stars via a new class of analytical solution for charged isotropic stellar system in general relativity. Indian Journal of Physics, 2022,https://doi.org/10.1007/s12648-022-02445-6
• Kranti Kumar, Arun Bhartia, Rajeev Kumar Mishra. Monitoring, modeling, and mapping of rail-induced noise at selected stations in megacity Delhi. International Journal of Environmental Science and Technology, 2022, https://doi.org/10.1007/s13762-022-04529-6
• Saeed Althubiti,Manoj Kumar,Pranay Goswami & Kranti Kumar. Artificial neural network for solving the nonlinear singular fractional differential equations. Applied Mathematics in Science and Engineering, 2023, 31(1),  2187389, https://doi.org/10.1080/27690911.2023.2187389
• Kranti Kumar, Manoj Kumar & Pritikana Das. Traffic congestion forecasting using multilayered deep neural network, Transportation Letters: The International Journal of Transportation, 2023, https://doi.org/10.1080/19427867.2023.2207278
• Bharti, Poonam Redhu and Kranti Kumar. Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM, Physica A: Statistical Mechanics and its Applications, 625, 2023, https://doi.org/10.1016/j.physa.2023.129001
• Manoj Kumar, Kranti Kumar. Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index, International Journal on Artificial Intelligence Tools, 33(2), 2350067, 2024, https://doi.org/10.1142/S0218213023500677
• Bhawna Pokhriyal, Pranay Goswami and Kranti Kumar. Analytical solution of local fractal continuum traffic flow model, Physica Scripta, 98, 2023, 125212.https://doi.org/10.1088/1402-4896/ad05a7
• Bharti, Poonam Redhu and Kranti Kumar. A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM, Indian Journal of Science & Technology, 16(46), 4358-4368, 2023, https://doi.org/10.17485/IJST/v16i46.2520
• Bharti, Poonam Redhu and Kranti Kumar. MFOA-Bi-LSTM: an optimized bidirectional long short-term memory model for short-term traffic flow prediction, Physica A: Statistical Mechanics and its Applications, 634, 2023, https://doi.org/10.1016/j.physa.2023.129448
• Manoj Kumar, Sandeep Kumar, Kranti Kumar, and Pranay Goswami. Multilayered neural network for power series-based approximation of fractional delay differential equations, Mathematical Methods in Applied Sciences (2024), 1–15. https://doi.org/10.1002/mma.10043.
• Manoj Kumar, Kranti Kumar. Bi-State Prediction Network Model for Mixed Traffic Congestion Prediction, International Journal of Computational Intelligence and Applications, 2024, https://doi.org/10.1142/S1469026824500111
• Bharti, Poonam Redhu and Kranti Kumar. Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm, International Journal of Intelligent Transportation Systems Research, 2024, https://doi.org/10.1007/s13177-024-00398-0
• Nisha Singh, Kranti Kumar. A new car following model based on weighted average velocity field, Physica Scripta, 99, 2024, 055244, https://doi.org/10.1088/1402- 4896/ad3a28

Research Articles in Conference Proceedings

• Kranti Kumar, M. Parida, V. K. Katiyar. Artificial Neural Network Modeling for Road Traffic Noise Prediction, proceedings of third “International Conference on Computing, Communication and Networking Technology– ICCCNT 2012”, IEEE Xplore, https://doi.org/10.1109/ICCCNT.2012.6395944.
• Kranti Kumar, M. Parida, V. K. Katiyar.Short term traffic flow prediction for a non urban highway using Artificial Neural Network, Procedia-Social and Behavioral Sciences, 104, 2013, 755-764. https://doi.org/10.1016/j.sbspro.2013.11.170
• B. Sharma, V. K. Katiyar, Kranti Kumar, Traffic accident prediction model using Support Vector Machines with Gaussian Kernel, Proceedings of Fifth International Conference on Soft Computing for Problem Solving by Springer, pp 1-10, 2016, https://doi.org/10.1007/978-981-10-0451-3_1
• R. K. Mishra, A. Kumar, Kranti Kumar, Application of artificial neural network in traffic noise pollution modeling, Proceedings of the International Conference on Communication and Computing Systems by Taylor and Francis, pp 469-474, 2017, ISBN 978-1-138-02952- 1. https://doi.org/10.1201/9781315364094-85
• Kranti Kumar, Study on the effects of traffic noise on human health. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2019, 259 (3), 6783-6794. https://www.ingentaconnect.com/contentone/ince/incecp/2019/00000259/00000003/art0008 5
• M. Kumar, Kranti Kumar, P. Das, Study on road traffic congestion: a review, published in "Recent Trends in Communication and Electronics” as a chapter by Taylor & Francis, in June 2021. https://doi.org/10.1201/9781003193838-43.
• Kranti Kumar, Bharti, Survey on road traffic-flow prediction: Recent trends in India, published in "Recent Trends in Communication and Electronics” as a chapter by Taylor & Francis, in June 2021. https://doi.org/10.1201/9781003193838-42.
• Nisha, Kranti Kumar. Multi-Branch Traffic Flow Prediction Based on Temporal Speed. In: Devi, L., Asaithambi, G., Arkatkar, S., Verma, A. (eds) Proceedings of the Sixth International Conference of Transportation Research Group of India. CTRG 2021. Lecture Notes in Civil Engineering, vol 272, pp 47-61. Springer, Singapore. https://doi.org/10.1007/978-981-19-3494-0_4
• Manoj Kumar, Kranti Kumar. Traffic Congestion Prediction Using Categorized Vehicular Speed Data. In: Devi, L., Errampalli, M., Maji, A., Ramadurai, G. (eds) Proceedings of the Sixth International Conference of Transportation Research Group of India. CTRG 2021. Lecture Notes in Civil Engineering, vol 273, pp 367-384. Springer, Singapore. https://doi.org/10.1007/978-981-19-4204-4_22
• Kranti Kumar, Bharti. Deep Bi-LSTM Neural Network for Short-Term Traffic Flow Prediction under Heterogeneous Traffic Conditions. In: M. V. L. R. Anjaneyulu, M. Harikrishna, Shriniwas S. Arkatkar, A. Veeraragavan (eds) Proceedings of the CTSEM 2021. Lecture Notes in Civil Engineering, Vol. 261, Recent Advances in Transportation Systems Engineering and Management, Springer, Singapore. https://doi.org/10.1007/978- 981-19-2273-2
• Mishra, R.K., Parida, M., Kumar, K. (2024). Metro Rail Noise Analysis and Designing of Noise Barrier Along Selected MRTS Corridor in Delhi. In: Dhamaniya, A., Chand, S., Ghosh, I. (eds) Recent Advances in Traffic Engineering. RATE 2022. Lecture Notes in Civil Engineering, vol 377. Springer, Singapore. https://doi.org/10.1007/978-981-99-4464-4_20
• Rana, A., Prajapat, S., Kumar, P., Kumar, K. (2024). Performance Evaluation of Machine Learning Models for Intrusion Detection in Wireless Sensor Networks: A Case Study Using the WSN DS Dataset. In: Verma, O.P., Wang, L., Kumar, R., Yadav, A. (eds) Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-99-8129-8_15
• Bharti, Poonam Redhu and Kranti Kumar (2024). Chaotic Gravitational Search Algorithm and Long Short Term Memory Model for Traffic Flow Prediction, Trends in Contemporary Mathematics, e-ISBN: 978-93-6252-646-5, IIP Series, Volume 3, Book 3, Part 2, Chapter 1

Invited Seminars and Invited Conference Presentations:

• Delivered an invited lecture in the International Conference on Mathematical Sciences (ICMS-2015) held at Sri Venkateswara University, Tirupati, during 13-15 July 2015.
• Delivered an invited lecture in TEQIP-II Sponsored Faculty Development Programme at Delhi Technological University, Delhi (July 2015).
• Chaired the special session on “Cloud Computing and Computer Technology” in the International Conference on Communication and Computing Systems (ICCCS 2016) held at Dronacharya College of Engineering Gurgaon during September 9-11, 2016.
• Delivered an invited lecture in National Webinar on “Online teaching/learning: Challenges and Opportunities”held at Govt. Degree College Pihani, Hardoi, Uttar Pradesh, on 18/05/2020.
• Delivered two online expert lectures in the AICTE Training and Learning (ATAL) sponsored one-week online FDP held during 06 December 2021-10 December 2021 organized by the School of Computing Science and Engineering, Galgotias University, Uttar Pradesh.
• Presented an article entitled “Study on the effects of traffic noise on human health” in Inter-Noise Congress 2019, heldat Madrid, Spain during 16-19 June, 2019.
• Presented an article entitled “Survey on road traffic-flow prediction: Recent trends in India” in the 4th International Conference (Online) on Recent Trends in Communication and Electronics held at KIET Group of Institutions, Ghaziabad during 28-29 November, 2020.