COMSNETS 2024

16th International Conference on COMmunication Systems & NETworkS

January 3 - 7
Chancery Pavilion Hotel, Residency Road, Bengaluru, India

Initiative by COMSNETS Association


In-Cooperation With
Technical Co-Sponsors
Conference Partner


Workshop on Intelligent Transportation Systems (ITS)

Event Date: Wedesday, 3 January 2024


Schedule

January 3, 2024
Venue: Esquire (Basement)
Time Title Speaker/Authors
09:00 AM - 09:55 AM Opening Remarks by the Workshop Co-Chairs + Keynote Talk 1 ( Title: Drone-based traffic data collection - experiences and challenges ) Prof. Kalaga Ramchandra Rao, Indian Institute of Tehcnology Delhi, India
10:00 AM - 10:40 AM Lectern session: Deep Learning Applications in ITS (2)
Paper 1: Deep Learning-based Passenger Counting System using Surveillance Cameras Nishtha Rawat; Arnav Rai; Amit Agarwal
Paper 2: Deep RL-based Smart Signaling using Space-Time Vehicular Features under C-V2X Scenario Kashish Dineshbhai Shah; Dhaval Karshanbhai Patel; Mehul Shirishchandra Raval; Mukesh Zaveri; Shabbir N Merchant
10:45 AM - 11:15 AM Tea Break
11:20 AM – 12:00 AM Lectern session: Emerging methodologies in ITS (2)
Paper 3: Constrained Quadratic Model Formulations for MDCVRPTW: Quantum Vs Classical Panduranga Rao V Marella; Soumitri Kadambi
Paper 4: A Framework to Characterize and Estimate Vehicle Class-agnostic Traffic States and Class-wise Speeds AbiramiKrishna Ashok; Bhargava Chilukuri
12:05 PM – 01:00 PM Poster Session (7)
Poster 5: Brake Actuator Control for Heavy Road Vehicle Active Safety Systems Jakka Mahesh; Chitrartha Dixit; Pavel Vijay Gaurkar; Arella Kuthubuddin; Gunasekaran Vivekanandan; Sriram Sivaram; Shankar Subramanian
Poster 6: A System Dynamics Model for Forecasting the Digital Mobility Platform Businesses Growth Caleb Ronald Munigety
Poster 7: Predicting Pedestrian Movement in Unsignalized Crossings: A Contextual Cue-Based Approach Kaliprasana Muduli; Vikas Sahu; Indrajit Ghosh
Poster 8: DriverSense: A Multi-modal Framework for Advanced Driver Assistance System Daiwat Amit Vyas; Manish Chaturvedi
Poster 9: Impact of COVID-19 on Indian civil aviation: accessing the temporal recovery Mustansir Farooq; Manoj M; K Ramachandra Rao
Poster 10: An Assessment of Travel Time Dependability in Urban Corridors: Guwahati City Case Study Danial Doley; Akhilesh Maurya
Poster 11: Road Traffic Analysis using 2D LIDAR Revanth Rajana Sai; Arun Tangirala; Lelitha Devi Vanajakshi
01:00 PM - 02:00 PM Lunch Break
02:00 PM - 02:45 PM Keynote Talk 2 (Title: Optimizing Operations of Electric Bus Fleets) Dr. Tarun Rambha, Assistant Professor, IISc Bangalore
02:50 PM - 03:30 PM Lectern session: Modeling of Heterogeneous Traffic (2)
Paper 12: Study of Traffic Simulation Model for Heterogeneous Traffic Mayank Singh; Archana Nigam; Sanjay Srivastava
Paper 13: Prediction of Traffic States and Class-wise Speeds for Mixed traffic conditions AbiramiKrishna Ashok; Bhargava Chilukuri
03:35 PM - 04:10 PM Tea Break
04:15 PM - 04:55 PM Lectern session: Transportation Data Analytics (2)
Paper 14: Travel Time Variability of Bus Routes in Delhi using Real-Time GTFS Data Santhosh Kumar B V; Rupam Fedujwar; Amit Agarwal
Paper 15: Impact of Air Pollution on Informed Decision-Making for Choice of a Travel Mode Kapil Kumar Meena; Rujhaan Taneja; Amit Agarwal
05:00 PM - 05:30 PM Best Paper Award and Workshop Closure

Accepted Papers

  1. Impact of Air Pollution on Informed Decision-Making for Choice of a Travel Mode
    Kapil Kumar Meena; Rujhaan Taneja; Amit Agarwal

  2. A System Dynamics Model for Forecasting the Digital Mobility Platform Businesses Growth
    Caleb Ronald Munigety

  3. Brake Actuator Control for Heavy Road Vehicle Active Safety Systems
    Jakka Mahesh; Chitrartha Dixit; Pavel Vijay Gaurkar; Arella Kuthubuddin; Gunasekaran Vivekanandan; Sriram Sivaram; Shankar Subramanian

  4. Deep Learning with Attention Mechanism for Contextual Cue-based Prediction of Pedestrian Crossing In
    Kaliprasana Muduli; Vikas Sahu; Indrajit Ghosh

  5. Travel Time Variability of Bus Routes in Delhi using Real-Time GTFS Data
    Santhosh Kumar B V; Rupam Fedujwar; Amit Agarwal

  6. An Assessment of Travel Time Dependability in Urban Corridors: Guwahati City Case Study
    Danial Doley; Akhilesh Maurya

  7. Study of Traffic Simulation Model for Heterogeneous Traffic
    Mayank Singh; Archana Nigam; Sanjay Srivastava

  8. Road Traffic Analysis using 2D LIDAR
    Revanth Rajana Sai; Arun Tangirala; Lelitha Devi Vanajakshi

  9. Deep Learning-based Passenger Counting System using Surveillance Cameras
    Nishtha Rawat; Arnav Rai; Amit Agarwal

  10. Deep RL-based Smart Signaling using Space-Time Vehicular Features under C-V2X Scenario
    Kashish Dineshbhai Shah; Dhaval Karshanbhai Patel; Mehul Shirishchandra Raval; Mukesh Zaveri; Shabbir N Merchant

  11. Impact of COVID-19 on Indian civil aviation: accessing the temporal recovery
    Mustansir Farooq; Manoj M; K Ramachandra Rao

  12. DriverSense: A Multi-modal Framework for Advanced Driver Assistance System
    Daiwat Amit Vyas; Manish Chaturvedi

  13. Constrained Quadratic Model Formulations for MDCVRPTW: Quantum Vs Classical
    Panduranga Rao V Marella; Soumitri Kadambi

  14. A Framework to Characterize and Estimate Vehicle Class-agnostic Traffic States and Class-wise Speeds
    AbiramiKrishna Ashok; Bhargava Chilukuri

  15. Prediction of Traffic States and Class-wise Speeds for Mixed traffic conditions
    AbiramiKrishna Ashok; Bhargava Chilukuri



Important Dates

Manuscript Submission Due:               27th October 2023 (AoE) 3rd November 2023 (AoE)10th November 2023 (AoE) [Firm]
Notification of Acceptance:                 3rd December 2023
Camera-ready Submission:                 10th December 2023
Workshop Date:                                     3rd January 2024

Submission Link:https://edas.info/N31566


The 9th workshop on Intelligent Transportation Systems (ITS) will be held in conjunction with COMSNETS 2024. ITS is an amalgamation of cutting-edge technologies and communication used in traffic control and management systems to improve the sustainability, effectiveness, and safety of transportation networks. It is an innovative facility that aims to provide information prior to road users, enhancing drivers’ experiences and making safer, coordinated and 'smart' use of transport networks. This ITS special workshop in COMSNETS 2024 aims to bring together engineers, researchers, and practitioners from various disciplines to share their experiences on interdisciplinary approaches to solving transportation problems. The workshop invites original papers that make contributions to the modeling, control, and analysis in the field of Intelligent Transportation Systems. This workshop welcomes papers involving any combination of theory, analytical modeling and optimization, numerical simulations, real-world data-driven approaches, experimentation, advanced deployment, and case studies. Studies involving economic, behavioral, and environmental aspects are equally welcome.


Topics of interest include, but are not limited to:

  • Autonomous and Connected (V2X) vehicles (service design, management, and control)
  • Artificial Intelligence (AI) and Machine Learning (ML) applications for ITS
  • Naturalistic Driving Studies
  • Sensors and Big ITS data analytics
  • Human factors and Human Machine Interfaces in ITS
  • Modeling user behavior in presence of ITS technologies
  • Application of ITS on Safe System Approach
  • Emerging mobility systems: E-Mobility, air mobility, shared mobility, autonomous mobility, etc.
  • ITS field tests and implementation
  • Traffic Flow Theory
  • Traffic operations and control with emerging technologies (computer vision, advanced sensors, etc.)
  • Management and Mitigations of Incidents, Evacuation, Emergency Events
  • Collision Avoidance Systems for Vulnerable Road Users (VRUs), Non-motorized Traffic (NMT) and Animals
  • Public policy, regulatory and societal issues in ITS
  • Logistics and Transportation Demand Management
  • ITS for last-mile transportation
  • Multi-modal and Public Transportation Management
  • Future of Freight Transport, Integration with ITS and Intelligent Logistics
  • Routing algorithms (dynamic, stochastic, online, robust, etc.)
  • Modeling and optimization of public transit systems
  • Smart cities and the Internet of Things (smart travel behavior, smart performance, smart sensing and computing, smart parking, EV charging infrastructure, travel information, smart city planning, etc.)
  • Congestion Management and Avoidance (with pricing and incentive mechanisms)
  • Emerging vehicle technologies and their impact on the traffic system
  • Advanced Commercial Vehicles Operations System
  • Electronic Payment Systems

Submission Guidelines

  • The ITS Workshop invites submission of original work, not previously published, or under review at another conference or journal.
  • Submissions (including title, author list, abstract, all figures, tables and references) should not exceed 6 pages in length.
  • Reviews will be double-blind: authors name and affiliation should not be included in the submission.
  • Submissions must follow the formatting guidelines as given on IEEE Website; and those that do not meet the size and formatting requirements will not be reviewed. To Submissions must follow the formatting guidelines as given on IEEE Website; page limit is 6 pages for technical content and references, and those that do not meet the size and formatting requirements will not be reviewed. We will follow a double-blind review policy.
  • All papers must be in Adobe Portable Document Format (PDF) and submitted through the ITS Workshop submission site on EDAS.
  • All workshop papers will appear in conference proceedings, and be submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

Keynote speakers

Tarun Rambha

Assistant Professor in Indian Institute of Science Bengaluru

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Tarun Rambha is an Assistant Professor at the Indian Institute of Science (IISc) Bengaluru in the Center for infrastructure, Transportation and Sustainable Urban Planning (CiSTUP). He received his PhD from the University of Texas at Austin where he worked on network equilibrium, congestion pricing, and adaptive routing in stochastic transit and traffic networks. Prior to joining IISc, he was also a post-doctoral researcher at Cornell University where he studied hospital evacuations and demand estimation during hurricanes. His current research focuses on public, transportation, electric mobility, and smart parking systems.


Kalaga Ramachandra Rao

Indian Institute of Tehcnology Delhi, India

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K. Ramachandra Rao is currently a Professor and MoUD Chair in the Department of Civil Engineering at the Indian Institute of Technology Delhi, India. He is the Head, Transportation Research and Injury Prevention Centre (TRIP Centre), IIT Delhi. He holds a PhD in Civil Engineering (Transportation Engineering) from IIT Kharagpur. He has a masters’ degree in Transportation Engineering from NIT Warangal and a bachelor’s degree in civil engineering from Andhra University (GITAM, Visakhapatnam). His research interests are in Traffic dynamics, pedestrian dynamics, public transportation systems planning, road safety and urban freight logistics. He is widely published in peer reviewed journals and conferences. He is the editor of the forthcoming conference proceedings, Traffic and Granular Flow, 2023, Springer. Dr. Rao has advised many PhD and Master’s students at IIT Delhi. He is involved in projects and consulting related to Pedestrian evacuations, traffic dynamics and road safety. He is on the scientific committee of the international conference series Traffic and Granular flow and Pedestrian and Evacuation Dynamics.


Program Committee:

  • Dr. Amit Agarwal, IIT Roorkee
  • Dr. Anilkumar Bachu, IIT Patna
  • Dr. Anshuman Sharma , IIT BHU, Varanasi
  • Dr. Agnivesh Pani , IIT BHU, Varanasi
  • Dr. Bhavathrathan, IIT Palakkad
  • Dr. Caleb Ronald Munigety, Bosch India Ltd.
  • Dr. Hrishikesh Venkataraman, IIIT Sri City
  • Dr. Kinjal Bhattacharyya, Université Gustave Eiffel
  • Dr. Marisamynathan, NIT Tiruchirappalli
  • Dr. Nishant Mukund Pawar, NIT Calicut
  • Dr. Partha Pratim Dey, IIT Bhubaneswar
  • Dr. Pranamesh Chakraborty, IIT Kanpur
  • Dr. Pushpa Choudhary, IIT Roorkee
  • Dr. Rahul T.M, IIT Ropar
  • Dr. Ranju Mohan, IIT Jodhpur
  • Dr. Richa Ahuja, IIT Kharagpur
  • Dr. Sharmila, IIT Guwahati
  • Dr. Smruti Mohapatra, IIT Dhanbad
  • Dr. Suvin, IIT Hyderabad

  • Workshop Co-Chairs

    IIT Delhi.

    Pramesh Kumar

    Indian Institute of Technology Delhi
    India

    Madhumita Paul

    Madhumita Paul

    Indian Institute of Technology Kharagpur
    India