Research

Here, we provide the brief of our research work and relevant publications.

• Multi-modal Design of Intelligent Transportation Systems using opportunistically sourced information: this work proposes a novel design of an Intelligent Transportation System (ITS) that computes road-traffic information in real time using the widely deployed cellular infrastructure, sparse but accurate GPS probe trajectories, and selectively deployed traffic sensors. The work also proposes novel infrastructure deployment models to suggest an optimal placement of traffic sensors in a road network. The system is evaluated for the infrastructure requirement and accuracy of the generated traffic information using simulations. More information about the work can be found in,

  1. Manish Chaturvedi and Sanjay Srivastava. ``Multi-modal design of an intelligent transportation system'', IEEE Transactions on Intelligent Transportation Systems, Vol 18 (8), 2017, pp. 2017-2027, DOI: 10.1109/TITS.2016.2631221

  2. Ph.D, thesis link:   http://hdl.handle.net/10603/146176

• Studying the Impact of External Events on Traffic: Analyzing how external events, such as accidents, adverse weather conditions, road closures, etc., influence traffic patterns, enabling us to enhance real-time traffic management.  More information about the work can be found in,

  1. Ph.D. thesis link: https://shodhganga.inflibnet.ac.in/handle/10603/396266

  2. Archana Nigam and Sanjay Srivastava. "Hybrid deep learning models for traffic stream variables prediction during rainfall." Multimodal Transportation 2.1 (2023): 100052.

  3. Archana Nigam and Sanjay Srivastava. "Weather impact on macroscopic traffic stream variables prediction using recurrent learning approach." Journal of Intelligent Transportation Systems 27.1 (2023): 19-35.

  4. Archana Nigam, Manish Chaturvedi  and Sanjay Srivastava. "An empirical study on parameters affecting traffic stream variables under rainy conditions." 14th International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE, 2022. pp. 818-823, doi: 10.1109/COMSNETS53615.2022.9668377.

• Traffic Modelling and Simulation: Developing advanced models and simulations to predict and optimize traffic flow, contributing to efficient road network design. More information about this work can be found in

  1. Mayank Singh, Archana Nigam and Sanjay Srivastava, "Study of Traffic Simulation Model for Heterogeneous Traffic," 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2024, pp. 222-227, doi: 10.1109/COMSNETS59351.2024.10426872. 

  2. Shantanu Phanse, Manish Chaturvedi and Sanjay Srivastava, "Modelling and Simulation of Road Traffic Under Rainy Conditions," 14th COMSNETS, 2022, pp. 830-835, Venue: Online, DOI: 10.1109/COMSNETS53615.2022.9668457.

  3. Viral Patel, Manish Chaturvedi and Sanjay Srivastava. "Comparison of SUMO and SiMTraM for Indian traffic scenario representation", 11 th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC) Proceedings in the Transportation Research Procedia Elsevier, 2016, pp. 400-407, Venue: IIT Bombay,  DOI: 10.1016/j.trpro.2016.11.081

• Design of Advanced Urban Public transportation system involving (1) Arrival time prediction of buses at downstream bus-stops on the route; (2) Automatic bus-stop detection by processing historical trajectory data of buses and crowd-sourced commuter data; (3) Crowd-sourced commuter data processing for the transport mode identification and crowdedness detection in the buses; and (4) Processing bus trajectories for road network monitoring (e.g., quality of roads - presence of potholes and average movement speed, detection of junctions, their  type (circle and cross-roads) and time varying regulation (traffic light controlled and uncontrolled). More information about the work can be found in,

1. Ph.D. Thesis: https://shodhganga.inflibnet.ac.in/jspui/handle/10603/480208

2. Pruthvish Rajput, Manish Chaturvedi, and Pankesh Patel. "Advanced Urban Public Transportation System for Indian Scenarios", ICDCN), ACM, 2019, pp. 327-336, Venue: IISc Bangalore. DOI: 10.1145/3288599.3288624 

3. Pruthvish Rajput, Manish Chaturvedi and Vivek Patel. ``Opportunistic sensing based detection of crowdedness in public transport buses'', Pervasive and Mobile Computing - Special Issue on Mobile & Social Sensing Elsevier, Vol 68, 2020, pp. 101246, DOI: 10.1016/j.pmcj.2020.101246

4. Pruthvish Rajput, and Manish Chaturvedi. ``Crowdsourcing based solution for automatic bus-stop detection and bus crowdedness estimation'', 22nd  ITSC, IEEE, 2019,  Venue: Auckland, New Zealand. pp. 740-745, DOI: 10.1109/ITSC.2019.8917008

5. Pruthvish Rajput, Manish Chaturvedi and Vivek Patel. ``Road Condition Monitoring using Unsupervised Learning based Bus Trajectory Processing'', Multi modal transportation,  Elsevier, Vol 1-3, 2022, pp. 100041, DOI: 10.1016/j.multra. 2022.100041.

6. Pruthvish Rajput, Manish Chaturvedi, Vivek Patel. ``Development of advanced public transportation system with limited infrastructure support'', Software Impacts, Elsevier, Volume 14, 2022, pp. 100434, DOI: 10.1016/ j.simpa.2022.100434 (the partial codes and data sets developed in the DST-SERB funded project titled ``Advanced Urban Public Transportation project'' have been made accessible through this paper)

7. P. Rajput and M. Chaturvedi, "An Experimental Study on Road Condition Monitoring and Junction Analysis Using Bus Trajectory Data," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2025.3616438. Early access at https://ieeexplore.ieee.org/document/11208851

• Analysis of driving patterns and physiological parameters of Two-wheeler vehicle drivers. More information about the work can be found in,

  1. Daiwat Vyas and Manish Chaturvedi, "DriverSense: A Multi-Modal Framework for Advanced Driver Assistance System," 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2024, pp. 252-257, doi: 10.1109/COMSNETS59351.2024.10427459. 

  2. Daiwat Vyas, Manish Chaturvedi, Naveen Kumar, Karan Kamath, Piyusha Gupta and Aryan Dwivedi, "Experimental Study on Designing Advanced Driver Assistance System for Two-Wheelers Using Mobility and Physiological Sensors," 2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Ahmedabad, India, 2024, pp. 1-6, doi: 10.1109/ICVES61986.2024.10928133.

• Design of Models for Last Mile Connectivity: Design solutions to provide seamless first/last mile connectivity to public transportation to ensure convenient and accessible travel for everyone.  More information about this work can be found in,

  1. M. Chaturvedi and S. Srivastava, "Modelling and Analysis of Walk and Intelligent Feeder Service Based Last Mile Connectivity to Metro Stations," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 3437-3442, doi: 10.1109/ITSC57777.2023.10422361.

  2. Manish Chaturvedi and Sanjay Srivastava, "A Multi-modal Ride Sharing Framework for Last Mile Connectivity," 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE/ACM, 2022, pp. 824-829, Venue: Online,  DOI: 10.1109/COMSNETS53615.2022.9668583.

• Dealing with Sparse Traffic Data: Tackling the complexities of limited traffic data availability through innovative approaches, enabling better insights despite data challenges. 

  1. Archana Nigam and Sanjay Srivastava. "Generating Realistic Synthetic Traffic Data using Conditional Tabular Generative Adversarial Networks for Intelligent Transportation Systems," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 2881-2886, doi: 10.1109/ITSC57777.2023.10422234.

• Supporting Movement of Emergency Vehicles in Road network

  1. Abhyudai Bisht, Khilan Ravani, Manish Chaturvedi, Naveen Kumar, Shailesh Tiwari. "Indigenous design of a Traffic Light Control system responsive to the local traffic dynamics and priority vehicles", Computers & Industrial Engineering, Volume 171, 2022, 108503, ISSN 0360-8352, https://doi.org/10.1016/j.cie.2022.108503.

  2. Sagar Bapodara, Shyam Meswani, Manish Chaturvedi and Pruthvish Rajput. ``Traffic Congestion and Emergency Vehicle Responsive Traffic Signal Control in Resource Constrained Environment'', 11th International  Conference on Electronic Systems Devices and Computing (ESDC), IEEE, May 2023 Venue: IIIT Sri City, Andhra Pradesh. DOI: 10.1109/ESDC56251.2023.10149873

  3. Shourya Bhushan and Manish Chaturvedi, "Emergency Vehicle Direction Detection Using Mel-Frequency Cepstral Coefficients and Deep Learning," 2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Ahmedabad, India, 2024, pp. 1-6, doi: 10.1109/ICVES61986.2024.10928001. 

• Design of Charge Scheduling and Pricing Models for Electric Vehicles

  1. Pushkar Patel, Harsh Kakani, M. Chaturvedi and N. Kumar, "On Pricing Models for Electric Vehicle Charging," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022, pp. 158-163, doi: 10.1109/ITSC55140.2022.9921745.