Location: Rainbow Room
Location: Niagara Room
Location: Niagara Room (Virtual Join Link)
Speech 1 (8:30 am – 8:40 am): Khalid Elgazzar, Associate Professor, Electrical, Computer and Software Engineering, Ontario Tech University
Speech 2 (8:40 am – 8:50 am): Hossam Kishawy, Dean, Faculty of Engineering and Applied Science, Ontario Tech University
Speech 3 (8:50 am – 9:00 am): IEEE TEMS Representative, Mohamed Aboud, VP Membership, Marketing, and Communications, IEEE TEMS
Location: Niagara Room (Virtual Join Link)
Keynote Speaker: Stephen Smith, Professor & Canada Research Chair, University of Waterloo, Canada
Session Chair: Khalid Elgazzar, Associate Professor, Electrical, Computer and Software Engineering, Ontario Tech University
Title: Towards Safe Autonomy that Adapts to the Individual
Abstract: The potential of autonomous vehicles is enormous. They can save lives of humans by greatly reducing accidents, and can provide a new mode of transportation for people incapable of driving. Moreover, through mobility-on-demand transportation, autonomy can increase the utilization of vehicles in cities, greatly reducing the amount of land devoted to parking. To achieve this future, we need intelligent vehicles that are safe and that people are happy and comfortable using. In this talk, I will discuss our recent work on both issues. I will discuss methods to plan safe motion for vehicles through risk aware planning. I will then talk about our research in tailoring the behaviour of a vehicle to specific users or passengers. The key to doing this is a method called active preference learning, whereby we demonstrate different vehicle behaviours to a user, and use their feedback to learn a model of their underlying preferences. This preference model can be used to tailor autonomous systems to a particular user, making users more comfortable with autonomy.
8:30 am – 9:30 am: Team setup
9:30 am – 10:00 am: Instructions for train and qualification
Location: Rainbow Salon (each paper is 15m presentation + 3m Q&A), (Virtual Join Link)
Session Chair: Mohamed Zaki Hussein, Assistant Professor, Western University, Canada
10:30 am – 10:48 am: Scalable Bidirectional Smart Charging SGAM Architecture: Use Case Analysis for a Viable Business to Integrate Electric Vehicles as Distributed Energy Resources Based on IEC Standards.
Authors: Francesco Maldonato; Dominik Vereno; Simon Eschlberger; Christian Neureiter; Dietmar Göhlich
10:48 am – 11:06 am: Impact of Electrification on the Required Bus Fleet Size: The Case of Overnight Depot Charging.
Authors: Kareem Othman; Amer Shalaby; Baher Abdulhai
11:06 am – 11:24 am: Simultaneous Optimal Sizing of Multi Heavy-Duty Electric Charging Infrastructures Connected to Different Electric Utilities Considering Demand Charges. (Virtual Join Link)
Authors: Rafi Zahedi; Natalie Lord; Kourosh Sedghisigarchi; Rajit Gadh
11:24 am – 11:42 am: Siting and Sizing of EV Charging Stations in Active Distribution Systems Considering V2G Capability. (Virtual Join Link)
Authors: Adhip Sreekumar Kizhuthodi; Tarlochan Sidhu; Sheldon Williamson
11:42 am – 12:00 pm: Adaptive Compressing Electric Vehicle Battery Pack Measurements Using Polynomial Coding.
Authors: Dominic Karnehm; Antje Neve
Location: Niagara Room (Virtual Join Link)
Title: Opportunities and Challenges of Self-driving Technology
Panel Moderator: Alaa Khamis, Founding Chair IEEE SM
Founding Chair IEEE SM
Panelists:
Description: Self-driving vehicles represent a transformative shift in transportation. This technology promises to dramatically reduce injuries and fatalities, reduce traffic congestion, improve access to mobility for those who currently cannot drive due to age or disability, and open the doors to passenger economy. However, self-driving vehicles face significant challenges, including technological limitations, regulatory hurdles, and societal acceptance. This panel will explore the complexities of integrating self-driving technology into everyday transportation. It will examine why, despite advancements in aviation autopilot systems, self-driving vehicles are a more recent and challenging innovation. Key topics include whether self-driving cars need defensive driving rules akin to human drivers, and how they should handle urban environments where social interactions with pedestrians and cyclists are critical. Panelists will also address concerns about potential adversarial behaviors toward self-driving vehicles and the necessary infrastructure—both physical and digital—required to ensure the safe deployment of these technologies. The discussion will emphasize the importance of governance frameworks and city planning in ensuring that self-driving vehicles are adopted in a manner that benefits society while minimizing risks.
Location: Elizabeth Room, (Virtual Join Link)
Session Chair: Ismail Arai, Associate Professor at Information Initiative Center, Nara Institute of Science and Technology, Japan
10:30 am – 10:48 am: Enhancing Object Tracking in Smart City Intelligent Transportation Systems: A Track-By-Detection Approach Utilizing Satellite Video Monitoring.
Authors: Mahmoud A Ahmed, MR; Naser El-Sheimy; Henry Leung
10:48 am – 11:06 am: Empowering Cognitive City Wireless Communication Vision.
Authors: Yuxiang Liu; Osama Amin; Noha Al-Harthi; Jaafar Elmirghani; Ahmed M. Eltawil; Basem Shihada
11:06 am – 11:24 am: Multi- and Intermodal Routing for Realistic Estimation of the X-Minute.
City: The Case of Cologne
Authors: Philipp K. Peter; Moritz Gottschling; Wolfgang Ketter
11:24 am – 11:42 am: Developing and Testing a Smart City Signalized Eco-Cooperative Adaptive Cruise Control System. (Virtual Join Link)
Authors: Hao Chen; Hesham Rakha; Jinghui Wang
11:42 am – 12:00 pm: Smart Mobility: Leveraging Perception Sensors for Map-Based Navigation in Autonomous Vehicles.
Authors: Paulo Ricardo Marques de Araujo; Eslam Mounier; Emma Dawson; Aboelmagd Noureldin
10:00 am – 12:30 pm: Qualification session 1
Location: Niagara Room (Virtual Join Link)
Keynote Speaker: Deepa Kundur, Professor & ECE Chair, University of Toronto, Canada
Session Chair: Alaa Khamis, Founding Chair, IEEE Smart Mobillty, Canada
Title: Securing the Future of Mobility: Challenges and Innovations in Cyber-Physical Security for Smart Transportation Systems
Abstract: The rapid integration of electric vehicles (EVs) and autonomous technologies into smart transportation systems has the potential to revolutionize urban mobility, offering enhanced efficiency, sustainability, and convenience. However, this transformation also introduces significant cyber-physical security challenges that must be addressed to ensure the safety and reliability of these systems. EV charging networks, for example, are increasingly vulnerable to a range of cyberattacks that could disrupt service, compromise user privacy, and even pose physical dangers. Similarly, the coexistence of autonomous and human-driven vehicles within smart transportation ecosystems creates a complex landscape of security threats. These threats include actuator faults, false data injection (FDI) attacks, denial-of-service (DoS) attacks, and the unpredictability of human behavior, such as distracted or impaired driving. Addressing these challenges requires innovative approaches to real-time fault detection and mitigation, as well as the development of robust, resilient infrastructure. In this talk, we will explore the critical security challenges facing smart transportation systems, with a particular focus on the vulnerabilities associated with EV charging infrastructure and mixed vehicle platoons. We will also discuss cutting-edge deep learning-based detection methods that leverage recent advances in artificial intelligence to enhance the detection and classification of anomalies within these systems, ensuring a safer and more secure future for smart transportation networks.
02:00 pm – 05:00 pm: Qualification session 2
Location: Rainbow Salon (Virtual Join Link)
Session Chair: Mansoor Alghooneh, Senior Software Developer, General Motors Canada
02:00 pm – 02:18 pm: Learning Assisted Simulation-Optimization Framework for Resilient Freight Transport Corridors (Virtual Join Link)
Authors: Muhammad Satrya Dewantara; Bilge Atasoy; Saiedeh Razavi; Mahnam Saeednia
02:18 pm – 02:36 pm: Advancing Travel Time Prediction in Intelligent Transportation Systems Through Learning-Based Uncertainty Quantification
Authors: Saiedeh Razavi; Siyavash Filom
02:36 pm – 02:54 pm: ASENet: A Deep Learning Approach to Predict Traffic Speed Compliance During Automated Speed Enforcement
Authors: Sifatul Mostafi; Khalid Elgazzar; Frank Feng; Khalil Barakzai; Dillon Koolhaas
02:54 pm – 03:12 pm: Naturalistic Data Analysis: Assessing Factors Impacting E-Bike Cyclist Safety on Urban Roads
Authors: Shabnam Pejhan
03:12 pm – 03:30 pm: Enabling Smart Mobility Features Using Spectrogram Images and Convolutional Neural Networks
Authors: Xu Fang Zhao and Omer Tsimhoni
02:00 pm – 02:18 pm: Towards Frictionless Public Transit: A Brief Review of Automatic Fare Collection
Authors: Kyler GN Witvoet; Carlos Vidal; Ali Emadi
02:18 pm – 02:36 pm Reward-Based Charging Schedule for a Community-Based Ride-Sharing Service (Virtual Join Link)
Authors: Avinash Nagarajan
02:36 pm – 02:54 pm: Analysis for Automatic Extraction of Uncomfortable Driving by Constant Observation of Route Buses Using Anonymous Sensors
Authors: Toyokazu Akiyama; Naoki Matsuo; Ismail Arai; Hiroshi Yamamoto
02:54 pm – 03:12 pm: Trains or Planes? An Aspect-Based Sentiment Analysis of Travel Satisfaction
Authors: Maren Schnieder; Manoj Dora
03:12 pm – 03:30 pm: Optimizing Smart Bike-Sharing Station Placement Near Public Transit Stops Using GIS: A Case Study of London, Ontario
Authors: Ahmed Elnawawy; Jinhyung Lee; Mohamed H. Zaki
02:00 pm – 05:00 pm: Qualification session 2
Location: Rainbow Salon (Virtual Join Link)
Session Chair: Sahar Kokaly, Software Safety Engineering Leader, General Motors, Canada
03:40 pm – 03:58 pm: Analysis of Data-Driven Detection and Localization of Cyberattacks on Faulty Electric Vehicle Platoons
Authors: Jeffrey C Qiu; Mohammad Al Janaideh; Deepa Kundur
03:58 pm – 04:16 pm: Cybersecurity Governance Considerations for Smart Mobility Systems: Incremental Considerations Arising From Decentralization and Machine Learning
Authors: Margaret H McKay; Vance Lockton
04:16 pm – 04:34 pm: Bio-Inspired Intelligent Anomaly Diagnosis System for Health Monitoring in Connected Vehicles (Virtual Join Link)
Authors: Mahsa Jalali; Ehsan Hallaji; Mehrdad Saif
04:34 pm – 04:52 pm: A Regulatory Roadmap for Public-Area Mobile Robots
Authors: Bern Grush
Location: Elizabeth Room (Virtual Join Link)
Session Chair: Shabnam Pejhan, Assistant Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada
03:40 pm – 03:58 pm: ShipNetSim: A Multi-Ship Simulator for Evaluating Longitudinal Motion, Energy Consumption, and Carbon Footprint of Ships (Virtual Join Link)
Authors: Ahmed Aredah; Hesham Rakha
03:58 pm – 04:16 pm: Emergency Management Plan for Electric Vehicles During Floods Using Daily Routing Patterns
Authors: Alaa Torkey; Mohamed H. Zaki; Ashraf A. El Damatty
04:16 pm – 04:34 pm: Optimal V2G Commitment in Multi-Unit Residential Buildings
Authors: Javad Fattahi; Mikhak Samadi; Carter Li
04:34 pm – 04:52 pm: On the Necessity of DCM Operation for Buck Converters Between Constant Voltage Buses
Authors: Ahmed M A Oteafy
Location: Niagara Room (Virtual Join Link)
Theme: Inspiring a Connected Mobility Future
1- Welcome & Introductions (02:00 pm – 02:05 pm)
Allison Cooperman, Director, OnStar Canada, General Motors Company, Canada
Tara Andringa, Executive Director, Partners for Automated Vehicle Education (PAVE), USA
2- Panel Discussion #1 (02:05 pm – 02:50 pm)
Title: How do we best chart our mobility future across the ecosystem to ensure maximum potential?
Panel Moderator: Allison Cooperman, Director, Canadian Technical Center (CTC) Operations, General Motors, Canada
Panelists:
Tara Remedios, Director, Talent Strategy & Workforce Development, OVIN
Amanda Kalhous, Head of Product, General Motors, Enterprise Innovation
Naina Dewan, Manager, New Technology & Innovation, Toronto Transit Commission (TTC)
N’ora Kalb, Director Operations, Innovate Niagara
Description: The future of the industry envisions sixth generation (6G) as a transformative force, unlocking the full potential of smart connectivity to drive seamless, resilient, and sustainable mobility development. 6G will further empower vertical sectors, propelling their digital transformation forward. To meet the diverse demands of vertical applications such as drones, eVTOLs, and air vehicles, 6G communication systems must support stringent performance requirements, ensure consistent service availability across all locations, provide precise environmental awareness, and offer dynamic Quality of Service mechanisms to guarantee safety and effectively support these use cases. On the other hand, 6G’s non-terrestrial networks (NTNs), including satellite systems, high-altitude platforms (HAPS), and airborne platforms like drones, present significant opportunities to overcome these limitations. NTNs can extend smart connectivity to rural and remote regions, bridging the digital divide while enhancing network capacity, energy efficiency, and sustainability by offloading traffic from terrestrial networks. Furthermore, 6G autonomy with NTN technologies offer global coverage and smart mobility support, making them particularly valuable for transportation and aviation domain, as well as supporting sustainable development goals through more efficient resource utilization.
3- Invited Talk #1 (02:50 pm – 03:20 pm)
Speaker: Saba Al-Rubaye, Professor Chair in Telecommunications and Autonomous Systems, Cranfield University, UK
Title: 6G Empowered Sustainable Mobility: Vertical Industries and Enabling Technologies
Abstract: The future of the industry envisions sixth generation (6G) as a transformative force, unlocking the full potential of smart connectivity to drive seamless, resilient, and sustainable mobility development. 6G will further empower vertical sectors, propelling their digital transformation forward. To meet the diverse demands of vertical applications such as drones, eVTOLs, and air vehicles, 6G communication systems must support stringent performance requirements, ensure consistent service availability across all locations, provide precise environmental awareness, and offer dynamic Quality of Service mechanisms to guarantee safety and effectively support these use cases. On the other hand, 6G’s non-terrestrial networks (NTNs), including satellite systems, high-altitude platforms (HAPS), and airborne platforms like drones, present significant opportunities to overcome these limitations. NTNs can extend smart connectivity to rural and remote regions, bridging the digital divide while enhancing network capacity, energy efficiency, and sustainability by offloading traffic from terrestrial networks. Furthermore, 6G autonomy with NTN technologies offer global coverage and smart mobility support, making them particularly valuable for transportation and aviation domain, as well as supporting sustainable development goals through more efficient resource utilization.
4- Networking Break (03:20 pm – 03:40 pm)
5- Invited Talk #2 (03:40 pm – 04:10 pm)
Speaker: Saideh Razavi, Professor and Chair in Heavy Construction, Department of Civil Engineering, McMaster University, Canada
Title: Driving Toward Success: Navigating your Career in Smart Mobility
Abstract: Join us as we explore the exciting opportunities and challenges within the dynamic field of Smart Mobility. Reflect on your career aspirations and embark on a journey of personal growth and professional development. Discover insights into the ever-evolving nature of the industry and learn strategies to thrive in this dynamic and fast-paced environment.
6- Panel Discussion #2 (04:10 pm – 04:55 pm)
Title: Driving Equity: How Automated Vehicles Can Bridge the Mobility Gap
Panel Moderator: Katelyn Magney-Miller, Communications Manager, Partners for Automated Vehicle Education (PAVE), USA
Panelists:
Stephanie Thompson, Technical Manager – Manufacturing Engineering, General Motors, Canada
Eileen Herbers, Research Associate, Virginia Tech Transportation Institute, USA
Hannah Barrett, Researcher & Program Manager, Traffic Injury Research Foundation, Canada
Description: As transportation technology advances, autonomous vehicles (AVs) have the potential to play a significant role in addressing long-standing equity and accessibility challenges. This panel will bring together leading industry voices to explore how we can harness automation to create more inclusive mobility solutions. Panelists will discuss current barriers to equitable mobility, strategies for integrating AVs into public transportation systems, and the broader societal impacts of increasing accessibility for communities worldwide. Speakers include Stephanie Thompson of General Motors, Eileen Herbers of Virginia Tech Transportation Institute (VTTI), and Hannah Barrett of the Traffic Injury Research Foundation (TIRF).
7- Closing (04:55 pm – 05:00 pm)
Allison Cooperman, Director, Canadian Technical Center (CTC) Operations, General Motors, Canada
Tara Andringa, Executive Director, Partners for Automated Vehicle Education (PAVE), USA
Location: Niagara Room (Virtual Join Link)
Keynote Speaker: Baher Abdulhai, Professor, Co-Director: Centre for Automated and Transformative Transportation Systems (CATTS), University of Toronto, Canada
Session Chair: Sherif Oteafy, DePaul University, USA
Title: EMARLIN-Transformer: State of the Art AI-Based Traffic and Transit Control System
Abstract: Traffic congestion in major cities is soaring worldwide. In 2023, Toronto has been ranked by INRIX as the 7th worst city in the world in terms of traffic congestion. In 2024, Toronto ranked by Expert Market as worst city for commuting in North America and sixth worst in the world. As populations, economic activities and urbanization continue to grow, and as financial and environmental constraints continue to tighten, the congestion challenge will only get worse, directly threating the social and economic fabric of our societies. Part of the solution to congestion challenges is adaptive traffic signal control (ATSC) and variants of which such as adaptive ramp metering, under the general umbrella of Intelligent Transportation Systems (ITS). Since 1998, the university of Toronto has excelled in this space producing a series of award-winning state of art artificial-intelligence-based ATSC systems using Reinforcement Learning. Most notable is the 2024 eMARLINx suite. eMARLINx is a leaning based system that learns from direct interaction with the traffic environment and hence does not need an explicit model of traffic at execution/decision time. eMARLINx dynamically adjusts the traffic light signal timings or ramp meters based on real-time traffic conditions, combining real-time traffic monitoring systems with artificial intelligence and machine learning control algorithms. eMARLINx is a decentralized solution (each intersection or ramp is controlled by a controller with information-sharing between neighbouring controllers). eMARLIN-Transformer, the latest version of eMARLINx combines Deep Reinforcement Learning techniques with state-of-the-art neural network architectures such Transformers for excellent results in reduction of travel delays in simulation. In this talk, professor Abdulhai will start by discussing what can be expected from traffic AI in general, i.e. to what extent AI can help alleviate congestion before more aggressive measures such as infrastructure expansion or congestion pricing must be invoked. Then he will present the details of eMARLINx, and it is application to traffic signals, transit signal priority, and freeway ramp metering. Simulation case studies in Toronto will be presented. Finally, ongoing efforts to deploy the system in the field will be highlighted.
8:30 am – 9:30 am: Team setup
9:30 am – 10:00 am: Instructions for training and race
Location: Niagara Room (Virtual Join Link)
Title: A Tutorial on Leveraging Data Engineering and Distributed Ledger Technologies for the Realization of B5G/6G Networks (Virtual)
Speakers:
– Engin Zeydan, Senior Researcher, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC), Spain
– Madhusanka Liyanage, Associate Professor, School of Computer Science, University College Dublin, Ireland
Location: Rainbow Salon (Virtual Join Link)
Session Chair: Alvine Belle, Assistant Professor, York University, Canada
10:30 am – 10:48 am: Koopman-LQR Controller for Quadrotor UAVs From Data. (Virtual)
Authors: Zeyad Mahmoud Manaa; Ayman Abdallah; Mohammad A. Abido; Syed Saad Azhar Ali
10:48 am – 11:06 am: Camera Perspective Transformation to Bird’s Eye View via Spatial Transformer Model for Road Intersection Monitoring.
Authors: Rukesh Prajapati; Amr El-Wakeel
11:06 am – 11:24 am: An Overview on Intelligent Edge Computing for Enhancing CAEV and UAV Charging in 6G ITS.
Authors: Palwasha Waheed Shaikh; Hussein Mouftah
11:24 am – 11:42 am: From Raindrops to Pixels: A Novel Model to Predict ADAS Camera Image Degradation in Rain.
Authors: Long Li; Wing Yi Pao; Martin Agelin-Chaab; John Komar
11:42 am – 12:00 pm: Design and Preliminary Testing of an Aerial Landing Dock for Mobile Robots for Multi-Modal Robotic Systems.
Authors: Troy Radam; Scott Nokleby
Location: Elizabeth Room (Virtual Join Link)
Session Chair: Ahmed ELNawawy, Western University, Canada
10:30 am – 10:48 am: Queue Estimation and Consideration in Vehicle Trajectory Optimization at Actuated Signalized Intersection (Virtual)
Authors: Amr Shafik; Hesham Rakha
10:48 am – 11:06 am: Kalman Filter-Based Real-Time Traffic State Estimation and Prediction Using Vehicle Probe Data. (Virtual)
Authors: Amr Shafik; Hesham Rakha
11:06 am – 11:24 am: Enhancing and Evaluating a Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Controller on an Isolated Signalized Intersection.
Authors: Amr Shafik; Hesham Rakha
11:24 am – 11:42 am: Lane Planning of Connected Autonomous Vehicles Using a Graph Representation of Road Contents .
Authors: Mariam Nour; Yashar Farid; Lu Xu; Chunghan Lee; Kentaro Oguchi
11:42 am – 12:00 pm: A Hybrid Autonomous Intersection Management for Minimizing Delays Using Fuzzy Logic.
Authors: Babangida Zachariah; Khalid Elgazzar; Sanaa Alwidian
10:00 am – 12:00 pm: Training session
Location: Niagara Room (Virtual Join Link)
Keynote Speaker: Hesham A. Rakha, Director, Center for Sustainable Mobility, Virginia Tech Transportation Institute | Professor, Virginia Tech, USA
Session Chair: Ahmed Oteafy, Assistant Professor, Alfaisal University, KSA
Title: Optimization, Modeling and Assessment of Intelligent Transportation Systems
Abstract: The transportation system has evolved into a complex Cyber Physical System (CPS) with the introduction of wireless communication and the emergence of connected travelers and Connected Automated Vehicles (CAVs). The talk will discuss the challenges associated with multi-modal transportation system optimization and modeling, the integrated modeling of the transportation and communication systems, some research in the area of multi-objective CAV optimization, some research in CAV-enabled traffic signal control, and finally research in the modeling and optimization of multi-objective and multi-modal freight transportation systems.
In-person race session 1
Location: Niagara Room (Virtual Join Link)
Title: Megatrends in Mobility – how they are reshaping the new transportation
Speakers: Partha Goswami, Principal, PG Mobility Analysis LLC, USA
Description: The transportation industry in general and automotive industry in particular are undergoing profound changes, overhauling everything from design and development process to user experience, business models and even manufacturing. The proposed tutorial is designed to provide a 360-degree view of key trends and emerging technological changes driving the evolution in today’s mobility. The half day session will highlight the technological developments that is changing the automobile and related transportation devices from just a machine for moving from point to A, to a system that is a platform to provide many other services and functions and can be regularly updated and refreshed via software from the cloud. The tutorial will explore these evolution through three key modules – (1)Influence of the new digital age (2)twelve key emerging themes or trends reshaping the transportation landscape and (3)our look at the future of mobility over the next decade and beyond. The tutorial is targeted at mobility professionals, decision makers and researchers who may or may not have a full line of sight to the diverse facets of the evolution and are curious to understand full landscape.
Location: Rainbow Salon (Virtual Join Link)
Session Chair: Ahmed Oteafy, Assistant Professor, Alfaisal University, KSA
02:00 pm – 02:18 pm: Improving Traffic Safety and Efficiency With Multi-Objective Lane Change Assistance.
Authors: Yu Wu; Hao Yang; Jing Li; Seyhan Ucar; Yashar Farid
02:18 pm – 02:36 pm Assessing the Effectiveness of Automated Speed Enforcement in Durham Region, Ontario, Canada.
Authors: Sifatul Mostafi; Khalid Elgazzar; Frank Feng; Khalil Barakzai; Dillon Koolhaas
02:36 pm – 02:54 pm: Performance Assessment of Vehicular Cloud Systems: An Analytical Approach Using M/G/m Queueing Model.
Authors: Farzaneh Abdolahi; Jelena Mišić; Vojislav B. Mišić; Xiaolin Chang
02:54 pm – 03:12 pm: Performance Evaluation of a Single-Hop LoRa IoT Network.
Authors: Zahra Mohtajollah; Jelena Mišić; Vojislav B. Mišić”
03:12 pm – 03:30 pm: A Novel Data-Driven Incentive-Based Charging Service Truncation Scheme to Improve the QoS Performance of Public EV Charging Stations.
Authors: Nassr Al-Dahabreh; Maurice J. Khabbaz; Mohammad Ali Sayed; Ribal Atallah; Chadi Assi
Location: Elizabeth Room (Virtual Join Link)
Session Co-Chairs:
Alan Hejl, Founder & Lead Consultant, Spark Access, USA
Charles Garnett, Vehicle Architect, Accessibility Management, General Motors, USA
02:00 pm – 02:18 pm: Robot Wheelchair Convoys for Assistive Human Transportation.
Authors: Helio Perroni, Filho; Jenny Ren; Julian Forsyth; Kimia Rajaeifar; Mohammad Akhavan; Arian Haghparast; Yuqian Hou; Walleed Khan; Michael Jenkin; James Elder
02:18 pm – 02:36 pm: The SureStride: An Intermediate Mobility Solution for Seniors.
Authors: Namya Mehan; Elizabeth Evans; Taylor Kramer; Meera Moorthy
02:36 pm – 02:54 pm: A Contextual Multi-Armed Bandit Approach to Personalized Trip Itinerary Planning .
Authors: Haowei Li; Mufeng Wang; Jiarui Zhang; Tianyu Shi; Alaa Khamis
03:00 pm – 04:30 pm: In-person race session 2
Location: Niagara Room (Virtual Join Link)
Title: The Role and Impetus of Advanced Power Electronics in Smart Battery Testing, Characterization and Battery Management Systems (Online)
Speakers:
– Sheldon Williamson, Professor and Canada Research Chair, Faculty of Engineering and Applied Science, Ontario Tech University
– Akash Samanta, Ph. D. Candidate, Faculty of Engineering and Applied Science, Ontario Tech University
Description: The battery is one of the most critical components of electrified mobility (e-mobility), constituting a significant portion of the vehicle’s cost and serving as a vital depreciating asset. Hence, optimizing the performance, safety, and cost requirements of electric vehicle (EV) batteries is paramount for the wider adoption of e-mobility. The long-term success of e-mobility depends on advancements in battery storage technology that improve safety, reliability, and performance. Most high-energy and power-dense battery chemistries, including lithium-ion batteries, exhibit highly dynamic and non-linear characteristics. Therefore, rigorous testing, analysis, understanding, and innovation are essential for sustainable battery technology applications, especially in e-mobility. This tutorial, titled “The Role and Impetus of Advanced Power Electronics in Smart Battery Testing, Characterization, and Battery Management Systems,” will provide a comprehensive exploration of cutting-edge testing techniques and standards. The tutorial will discuss in detail the battery degradation mechanisms, the role of electrochemical impedance spectroscopy (EIS), and the possible integration of EIS with on-board power electronics. Further, the impact of battery degradation, particularly during low-temperature fast charging and ineffective thermal management systems, will be covered. A recently validated health-conscious fast charging algorithm, especially for sub-zero operating conditions, and its associated power electronics will be discussed in significant detail. Recognizing the complex and sensitive behavior of automotive batteries, particularly lithium-ion batteries (LIBs), under varying conditions, the tutorial will emphasize the importance of intelligent safety frameworks and innovative battery management systems (BMS). The functionalities of BMS and their associated power electronics converters will be a focal point. Effective BMS operation hinges on detailed knowledge of battery states and aging profiles. Therefore, recent advancements in cloud computing, digital twin technology, and AI/ML-based state estimators will be explored for their potential to address these challenges. The tutorial will also cover the latest trends in thermal safety and the integration of IoT, offering valuable insights for researchers and development engineers focused on the future of battery technology. With the increasing availability of retired batteries with 70-80% of remaining capacity can be utilized for several applications such as grid-tied energy storage system, home emergency power supply and other low demanding applications. Therefore, the role of power electronics converters and intelligent BMS for second-life application of retired EV batteries will also be covered in this tutorial.
Location: Elizabeth Room (Virtual Join Link)
Judges:
Finalists:
Location: Niagara Room (Virtual Join Link)
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