Workshop on Intelligent Transportation Systems (ITS)

Workshop Date: 9th January 2021

Congratulations! Accepted papers have been announced. Click here to view the list.

The 7th workshop on Intelligent Transportation Systems (ITS) will be held in conjunction with COMSNETS 2021. This interdisciplinary workshop aims to bring together researchers from various disciplines and will focus particularly on interdisciplinary approaches to solving transportation problems. The workshop invites original papers that make contributions to modeling and control of transportation systems. We welcome 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.

Domains of interest include, but are not limited to:

Traffic flow theory
Freight transport and logistics
Human factors and driver behavior
Transportation demand management
Various mobility alternatives (E-Mobility, Mobility-as-a-Service, shared mobility, etc.)
Modelling, control and simulation
Emissions, noise and environment
Multi-modal and public transportation management
V2V and V2I theory and applications
Emergencies and accidents: phenomena, management and mitigation
Sensors and Big data analytics
ITS field tests, deployment and experimentation
Design and evaluation of machine learning models on IoT data
Automated Vehicles
Behavioral science applications and techniques
COVID-19 and its impact on transportation system

Submission Guidelines

Submissions must be no greater than 6 pages in length including all figures, tables, and references and must be a PDF file. A minimum number of 3 pages are required.
Reviews will be single-blind: authors name and affiliation should be included in the submission.
Submissions must follow the formatting guidelines as given on IEEE Website.
Workshops papers can be submitted in two tracks: (i) Presentation Only format and (ii) Presentation and Publication in conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Authors are requested to choose the option carefully.
All papers must be in Adobe Portable Document Format (PDF) and submitted through the ITS Workshop submission site on EDAS.
Papers can also be submitted through EDAS directly. To submit the manuscript click here.

Important Deadlines

Paper Submission	~~28th November 2020 11:59 PM~~
Notification of Acceptance	~~8th December 2020~~
Camera-ready Submission	~~22nd December 2020~~
Workshop Date	9th January 2021

Keynote Speakers

Venkata Chunduru

IBI Group, India

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Sabya Mishra

University of Memphis, USA

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Workshop Agenda

Session	Time (IST)	Author(s)	Paper Title
Session 1	8:50–9:00	Inaugural Session
	9:00–9:20	Nandan Maiti; Bhargava Chilukuri	Traffic Signal Control for An Isolated Intersection Using Reinforcement Learning
	9:20–9:40	Vishal Kushwaha; Abdul Pinjari; Rajesh Sundaresan	Evaluating the Benefit of Collaboration between Rideshare and Transit Service Providers
	9:40–10:00	Pavel Vijay Gaurkar; Akhil Challa; Karthik Ramakrushnan; Shankar Subramanian; Gunasekaran Vivekanandan; Sriram Sivaram	Model Predictive Control of Wheel Slip Towards Antilock Brake System Using Convex Optimization
	10:00–10:20	Surya HR, Narayana Raju, Shriniwas Arkatkar	Stability Analysis of Mixed Traffic Flow using Car-Following Models on Trajectory Data
	10:20–10:40	Break
Session 2	10:40–11:50	Key Note Lecture 1: Mr. Venkata Subba Rao, Director, IBI Group, India
	11:50–12:10	Trupti More, Manish Choidhary, Yash Baberwal, Ajinkya Mane, Shriniwas Arkatkar	Identifying Causal Factors Contributing to Noise Levels on Urban Arterials
	12:10–12:30	Anshika Chourasia; Bheemarjuna Reddy Tamma; Antony Franklin A	Wi-Fi based Road Traffic Monitoring System with Channel Hopping Functionality
	12:30–12:50	Nimish Agarwal; Aman Jangid; Ashutosh Sharma; Nikhil Kumar; Mudit Kumar; Pankaj Kumar; Pranamesh Chakraborty	Camera-based Smart Traffic State Detection in India using Deep Learning Models
	12:50–2:00	Break
Session 3	2:00–2:20	Smit Bharat Thakkar; Shubham Sharma; Chintan Advani; Shriniwas Arkatkar; Ashish Bhaskar	Comparative analysis of travel time prediction algorithms for arterials using Wi-Fi Sensor Data
	2:20–2:40	Prateek Agarwal; Tarun Rambha	An Empirical Analysis of the Effect of Travel Time Variability on Transit Routing
	2:40–3:00	Sarthak Chaturvedi; AbiramiKrishna Ashok; Bhargava Chilukuri	Traffic State Estimation using DSRC-enabled Probe Vehicles
	3:00–3:20	Archana Nigam; Manish Chaturvedi; Sanjay Srivastava	Impact of Rainfall and Waterlogging on Traffic Stream Variables in Developing Countries
	3:20–3:40	Hima Elsa Shaji; Lelitha Vanajakshi; Arun Tangirala	Effects of Clustering Feature Vectors on Bus Travel Time Prediction: A Case Study
	3:40–4:00	Break
Session 4	4:00–5:00	Key Note Lecture 2: Dr. Sabya Mishra, Associate Professor, University of Memphis, USA.
	5:00–5:20	K b Devika; Shankar Subramanian	Fuel Economy and String Stability: A Dynamics Based Study on Heavy Road Vehicle Platoons
	5:20–5:40	Shriniwas Arkatkar; Aman Pandey; Ujjwal Kumar; Hrishabh Sharma	p2pTraf: An Open library implementing p2p vehicular network for preliminary real-field experiment
	5:40–6:00	Srikanthan Sridharan; Kaushal Kumar Jha; Shankar Subramanian	Power Flow in Two and Three-Wheeled Electric Road Vehicles: Challenges and Opportunities
	6:00–6:15	Closing Remarks