Workshop 1: Exploring Advanced Technologies and Data-Driven Analysis towards improving Road Safety: Auditing and Design Implementation

Workshop 2: Structural analysis of pavements

Workshop 3: Multimodal Data Driven Intelligent Transportation System: Recent Advancement, Challenges, and Scope

Workshop 4: How to write a paper and provide an appropriate response to reviewer comments

Workshop 5: Next Generation Traffic Signal Control for India: Challenges and Opportunities

Workshop 6: Machine Learning in Transportation: Fundamentals and Case Studies

 

Workshop Title: Exploring Advanced Technologies and Data-Driven Analysis towards improving Road Safety: Auditing and Design Implementation
Workshop Co-ordinators:

• Dr. S. Velmurugan, Chief Scientist and Head, Traffic Engineering and Safety (TES) Division, CSIR - CRRI, New Delhi
• Dr Geetam Tiwari, Emeritus Professor, TRIP Centre, IIT - Delhi
• Dr. Rahul Goel, Assistant Professor, TRIP Centre, IIT-Delhi
• Dr. Girish Agrawal, Professor, TRIP Centre, IIT-Delhi
• Ms. Reashma P S, Managing Director, Street Matrix Private Ltd. Bengaluru
• Prof. Shrinivas S. Arkatkar, Professor of Civil Engineering, SVNIT, Surat
• Mr. Jainish Chaudhari, Founder & CEO,Terramatic

 

Workshop Summary and Key Benefits:

This crash course is specially designed to provide an overview of key aspects associated with road safety for practicing engineers, young and dynamic faculty members, consultants, and research students, enabling them to gain practical insight. The first topic will focus on the road safety challenges faced in the country, followed by an overview of the pilot study on the vectored approach deployed for ADAS implementation in 250 buses in Nagpur city, along with evaluation of speed management at blackspots. The second topic will be an introduction to the public-health approach to road safety, the third topic will be an overview of the fundamentals of Epidemiological Methods in Road Safety Research, and the fourth topic will focus on laws and legislation’s for road safety. The fifth topic will cover the application of tactical urbanism as a tool for piloting solutions in typical pre-urban and urban corridors as well as urban intersections. The sixth topic will cover research studies related to surrogate safety measures deduced for blackspots, supported by selected corridor- and intersection-level case studies. The seventh topic will cover the ongoing pursuit toward automation of the Road Safety Auditing (RSA) procedure as per IRC: SP-88 (2019), with emphasis on Operation and Maintenance Stage RSA.

Intended Audience:

• Practicing engineers,
• Young and dynamic faculty members,
• Consultants, and
• Research students

Workshop Content:

Time	Speaker	Topics Covered
9:30 – 9:50	Dr. S. Velmurugan	• Profile of Road Safety Scenario in India & Global Comparison • Vectored Approach to Road Safety (Vehicle, Mobility & Infrastructure Safety using AI-powered ADAS) • Evaluation of effectiveness of Speed Management at Blackspots
9:50 – 10:10	Dr. Geetam Tiwari	• Public Health Approach to Road Safety
10:10 – 10:30	Dr. Rahul Goel	• Epidemiological Methods in Road Safety Research
10:30 – 10:50	Dr. Girish Agrawal	• Laws and legislations for road safety
10:50 – 11:25	Ms. Reshma P.S.	• Tactical Urbanism as a Tool for Piloting Road Safety Solutions - Evidence-based Approaches to Corridor & Intersection Design • City Engagement & Road Safety Initiatives – Indian Case Studies
11:25 – 11:40	—	Break
11:40 – 12:00	Prof. Shrinivas S. Arkatkar	• Surrogate safety measures deduced for blackspots
12:00 – 12:30	Mr. Jainish Chaudhari	• Automation of Operation & Maintenance (O&M) Stage Road Safety Audit
12:30 – 1:00	All Speakers	• Panel Discussion

 

 

Workshop Title: Structural analysis of pavements
Workshop Co-ordinators:

• Prof. Animesh Das, Professor, Department of Civil Engineering, IIT Kanpur
• Prof. Sudhir N. Varma, Assistant Professor, Civil and Environmental Engineering Department, IIT Patna

Prof. Animesh Das

Prof. Sudhir N. Varma

Workshop Summary and Key Benefits: This workshop will involve discussions on utilization of mechanics-based principles for structural analysis of pavements idealized as multi-layered elastic structures. Separate formulations will be developed for analysis of bituminous and concrete pavements due to load (static) and temperature. The numerical schemes to employ these formulations will be presented.
This workshop will provide an exposure to the participants about the underlying principles used for analysis of pavement structure, the associated assumptions and complexities involved with advanced analysis problems (for example, dynamic loading, damage propagation). This workshop will introduce the participants with the background knowledge to help them start developing their own pavement analysis formulations.        
Intended Audience:
Pavement researchers who are interested to know about the mechanics based theory behind the estimation of stress-strain-deformation within a pavement structure.  
Workshop Content:

Workshop Title: Multimodal Data Driven Intelligent Transportation System: Recent Advancement, Challenges, and Scope
Workshop Co-ordinators:

• Prof. Abhijit Sarkar, Senior Research Associate, Team Leader, Virginia Tech Transportation Institute, Blacksburg, Virginia, USA, Lecturer, Bradley Department of Electrical and Computer Engineering, Virginia Tech, USA.
• Prof. Avijit Maji, Professor, Department of Civil Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.

Prof. Abhijit Sarkar

Prof. Avijit Maji

Workshop Summary and Key Benefits: This workshop will cover a data driven approach towards transportation safety and operation. The workshop will provide a deep dive into multimodal data that have been historically used to study safety critical events, driver behaviour, and road safety. Data modality includes kinematic data (speed, acceleration), location data, radar, videos (vehicle, and infrastructure mounted), and LiDARs. The sessions will cover

• Key challenges in instrumentation, and data integration
• Current practices and strategies in understanding and processing continuous multimodal data
• Naturalistic driving data (NDD) and existing applications,
• Example driven guideline to answer transportation problem through NDD.

Intended Audience:

• Student Researchers
• Early career researchers and practitioners
• Government agencies planning to adapt advance sensing
• Leaderships and representatives from OEMs and private companies
• Individuals interested in transportation data and processing

Workshop Content:

• In-vehicle instrumentation
• Data integration
• Naturalistic driving data
• Sensor noise analysis
• 2D and 3D understanding of traffic scene
• Continuous data driven safety critical event analysis (crash, near crash)
• Demystify complexity of multimodal data

Workshop Title: How to write a paper and provide an appropriate response to reviewer comments
Workshop Co-ordinator:

• Prof. Chandra R. Bhat, Joe J. King Endowed Chair Professor in Engineering, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin.

Workshop Summary and Key Benefits: Writing a paper can seem daunting for students and early academics. But, by thinking carefully, building a strong motivation, and positioning the research within the context of the extant literature, one can get a good start on a paper. Of course, writing a paper is not a one-shot deal. It is an iterative procedure, where an individual prepares a first draft, reviews it and makes changes to make things flow better, then reviews the second draft and makes changes to prepare a third draft, and so on. At a minimum, this process should be continued at least five times. In each draft, there are many issues to keep in mind, including flow and coherency, tight and crisp writing, appropriate sentence structures, and the use of carefully chosen words to relay the right scholarly tone for the reader. As important is the issue of being meticulous and paying attention to detail: no spelling mistakes, ensuring that all references are listed at the end, designing and preparing the tables and figures to look professional, and coordinating the text with tables/figures. At the same time, writing a technical paper is similar to writing a story; the story should start from the motivation and proceed all the way to the conclusion, where the story gets completed. In this context, it is the responsibility of the author to hold the reader’s hand and take the reader through an interesting journey from beginning to end, by providing context, background, and weaving a compelling narrative. As with writing the original paper, the rebuttal (and changes made to the paper) in response to reviewer comments must be comprehensive and convincing. Reviewers must feel like their comments have been given careful attention and responded to in a clear, succinct, and coherent fashion. If authors do not quite see eye-to-eye with a particular comment of a reviewer, clear justification and backing for the alternative position must be provided.

This two-part workshop (1.25 hours each) will inform students of the considerations just mentioned, and take students through a series of papers to demonstrate the nuances of writing a good paper and providing an appropriate response to reviewer comments, with a series of case studies and examples.

Workshop Content: The sessions will cover

• Getting Started with Writing a Paper
• The Iterative Process of Writing
• Writing Style and Scholarly Tone
• Attention to Detail in Academic Writing
• Storytelling in Technical Papers
• Responding to Reviewer Comments

Workshop Title: Next Generation Traffic Signal Control for India: Challenges and Opportunities
Workshop Co-ordinators:

• Prof. Bhargava Rama Ch, Associate Professor, IIT Madras
• Prof. Lelitha Devi Vanajakshi, Professor, Dept. of Civil Engineering, IIT Madras
• Prof. Ashish Bhaskar, Professor, Queensland University of Technology, Australia

Prof. Bhargava Rama Ch

Prof. Lelitha Devi Vanajakshi

Prof. Ashish Bhaskar

Workshop Summary and Key Benefits:
This workshop will provide participants with knowledge and practical skills on next generation traffic signal control, focussing on the challenges and opportunities for India. It will account for heterogeneous and lane-less traffic conditions for signal control design, covering aspects such as warrants for phase plan development, delay model formulation, and cycle time optimisation based on queuing theory principles. A software tool for easy field implementation will be demonstrated. Drawing on the state of the practice in Australia, the workshop will highlight lessons that can be adapted for India, while also identifying research needs and limitations of conventional approaches in addressing complex urban traffic conditions.
Intended Audience:

• Engineers working for PWD/ state/ local authorities
• Traffic Police,
• Faculty, Student and researchers
• Engineers from industry working in traffic signals.

Workshop Content:
Module 1 – Basics of traffic signal design and current status
Module 2 – Development of a new signal design method for heterogeneous and lane-less traffic
Module 3 – Web/Mobile application demonstration 
Module 4- Future directions and research needs

Workshop Title: Machine Learning in Transportation: Fundamentals and Case Studies
Workshop Co-ordinators:

• Prof. Prasanta Sahu- Department of Civil Engineering, BITS Pilani – Hyderabad Campus
• Prof. Bandhan Bandhu Majumdar - Department of Civil Engineering, BITS Pilani – Hyderabad Campus
• Prof. Ishant Sharma - Department of Civil Engineering, BITS Pilani – Hyderabad Campus

Prof. Prasanta Sahu

Prof. Bandhan Bandhu Majumdar

Prof. Ishant Sharma

Workshop Summary and Key Benefits:
The workshop aims to develop fundamental skills needed for transportation research for applying machine learning (ML) algorithms with required computer coding skills to explore, describe, analyse, model, and test datasets. The objectives are to provide participants with: (i) A generic background in the application of various ML algorithms (supervised and unsupervised) in transportation; (ii) Fundamentals and case studies of selected ML algorithms (iii) Applications of open-source software in executing such ML algorithms. The key benefit for the participant is to gain proficiency in applying these algorithms to travel demand modeling, travel behaviour analysis, freight transport planning, traffic safety and transit facility planning.
Intended Audience:
This workshop is designed for industry consultants or government authorities (like transportation planners, traffic engineers, data analysts, urban planners), academicians, PhD and master’s students, and researchers who wish to learn and apply modern data science and machine learning techniques to solve complex transportation planning problems. A basic understanding of statistics and data analysis is recommended but not required.

Workshop Content:
Module 1- Fundamentals and Regression Analysis with Case Studies· Data Types, Descriptive Statistics, Probability Functions, Hypothesis Testing, Optimization, Regression fundamentals (supervised), Special cases of regression analysis, Software (R programming), Case studies.

Module 2- Discrete Choice Modelling with Case Studies – Fundamentals, Basic choice models (supervised), Advanced choice models (unsupervised), Software (Python), Case  studies