Workshop on Intelligent Transportation Systems (ITS)
Event Date: Wedesday, 3 January 2024
Schedule
January 3, 2024 | ||
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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
- Impact of Air Pollution on Informed Decision-Making for Choice of a Travel Mode
Kapil Kumar Meena; Rujhaan Taneja; Amit Agarwal - A System Dynamics Model for Forecasting the Digital Mobility Platform Businesses Growth
Caleb Ronald Munigety - 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 - Deep Learning with Attention Mechanism for Contextual Cue-based Prediction of Pedestrian Crossing In
Kaliprasana Muduli; Vikas Sahu; Indrajit Ghosh - Travel Time Variability of Bus Routes in Delhi using Real-Time GTFS Data
Santhosh Kumar B V; Rupam Fedujwar; Amit Agarwal - An Assessment of Travel Time Dependability in Urban Corridors: Guwahati City Case Study
Danial Doley; Akhilesh Maurya - Study of Traffic Simulation Model for Heterogeneous Traffic
Mayank Singh; Archana Nigam; Sanjay Srivastava - Road Traffic Analysis using 2D LIDAR
Revanth Rajana Sai; Arun Tangirala; Lelitha Devi Vanajakshi - Deep Learning-based Passenger Counting System using Surveillance Cameras
Nishtha Rawat; Arnav Rai; Amit Agarwal - 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 - Impact of COVID-19 on Indian civil aviation: accessing the temporal recovery
Mustansir Farooq; Manoj M; K Ramachandra Rao - DriverSense: A Multi-modal Framework for Advanced Driver Assistance System
Daiwat Amit Vyas; Manish Chaturvedi - Constrained Quadratic Model Formulations for MDCVRPTW: Quantum Vs Classical
Panduranga Rao V Marella; Soumitri Kadambi - A Framework to Characterize and Estimate Vehicle Class-agnostic Traffic States and Class-wise Speeds
AbiramiKrishna Ashok; Bhargava Chilukuri - Prediction of Traffic States and Class-wise Speeds for Mixed traffic conditions
AbiramiKrishna Ashok; Bhargava Chilukuri
Important Dates
Manuscript Submission Due: |
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 BengaluruVisit Homepage
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, IndiaVisit Homepage
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:
Workshop Co-Chairs

Pramesh Kumar
Indian Institute of Technology Delhi
India

Madhumita Paul
Indian Institute of Technology Kharagpur
India