Technical Sessions

During the conference, each presenter will participate in a dynamic session format. Each presenter will deliver a concise 3-minute lightning presentation on stage, accompanied by slides. This will be followed by an engaging 1-hour poster presentation, where digital versions of the posters will be showcased on individual 16:9 TV monitors. It is recommended that the slides be an overview of the poster with fewer details. Please ensure your digital poster is readily accessible on your laptop or a thumb drive, as it will be connected to the designated TV monitor assigned to you. Each presenter is assigned a designated monitor number located next to the names listed below. 


  1. David Kan – Florida Atlantic University: Unlocking the Potential Congestion Relief from Electric Vehicles (EVS) – Field Experiments, Open Database, and Simulations of EVs with Adaptive Cruise Control (ACC)
  2. Bruno Cesar Krause Moras – Purdue University: How do the determinants of electric vehicle adoption change over time? A multivariate ordered probit analysis
  3. Jane Lin – University of Illinois Chicago: Mitigating Battery Disruption of Electric Vehicles on Highways
  4. Jingran Sun – The University of Texas at Austin: Quantifying the Benefits of Autonomous Vehicles to Roadway Infrastructure Efficiency
  5. Gaia Cervini – Purdue University: Exploring the Relationship Between Temperature and Electric Vehicle Adoption in the United States
  6. Hugo Bouvier-Lambert – LS2N (UMR CNRS 6004) École Centrale de Nantes: A Model-based Informed Eco-Routing Method for Electric Vehicles in Urban Environments
  7. Emmanuel Hidalgo Gonzalez – University of California, Riverside: Comparative Assessment of Machine Learning Techniques for Modeling Energy Consumption of Heavy-Duty Battery Electric Trucks
  8. Juliana Byzyka – University of Nevada, Las Vegas: A Study of Electric Vehicles Ecosystem in Nevada
  1. Ziran Wang – Purdue University: Digital Twin-Based Cooperative Driving at Roundabouts for Connected and Automated Vehicles
  2. Xiaonian Shan – Hohai University: Developing a Novel Eco-Driving Strategy for Connected and Automated Vehicle at Isolated Signalized Intersection
  3. Raphael Stern – University of Minnesota: The Electric Vehicle Model (EVM): A novel car-following model for electric adaptive cruise control vehicles
  4. Vasileios Liatsos – CHA Consulting, Inc: Fuel Emission Reduction by The Capacitated Hybrid Truck Platooning
  5. Vishnu Pandi Chellapandi – Purdue University: Predictive Control of Diesel Oxidation Catalysts with Federated Learning in Connected Vehicles
  6. Shian Wang – The University of Texas at El Paso: Energy impacts of traffic-smoothing cruise controllers on mixed traffic
  7. Xia Wang – Vanderbilt University: Using Automated Vehicle Data as a Fitness Tracker for Sustainability
  8. Chuheng Wei – University of California, Riverside: Exploring the Dilemma Zone Problem: A Comprehensive Study of Influential Factors and Mitigation Strategies


  1. Michael Villarreal – University of Tennessee, Knoxville: Analyzing Emissions and Energy Efficiency in Mixed Traffic Control at Unsignalized Intersections
  2. Laurent Kloeker – Institute for Automotive Engineering, RWTH Aachen University: Potential of Smart Roadside Infrastructure Sensors for Urban Road Safety in the Context of Automated Mobility
  3. Abdelkader DIB – IFP Energies Nouvelles: Deep Learning-Based Mesoscopic Pollutant Emissions Modeling in Road Traffic Networks
  4. Simon Hu – Zhejiang University: Optimizing Traffic Signal Control in Mixed Traffic Scenarios: A Predictive Traffic Information-Based Deep Reinforcement Learning Approach
  5. Simon Hu – Zhejiang University: Traffic Emission Estimation and Modelling at Urban Intersections Using High-resolution UAV-based Videos
  6. Mario Harper – Utah State University: Catalyzing Urban Health and Sustainability: The Impact of Electric Bus Fleet Electrification in Justice 40 Communities of Salt Lake County
  7. Tanmay Das – North Carolina State University: Emissions Aware Car Following Model: A physics-informed LSTM application
  8. Xuanpeng Zhao – University of California, Riverside: Integrated Simulation Platform for Quantifying the Traffic-Induced Environmental and Health Impacts
  1. Huiying Fan – Georgia Institute of Technology: Electrification Opportunities and Challenges of School Bus Transportation: A Case Study of Atlanta Public Schools
  2. Maryna Pobudzei – University of the Bundeswehr Munich: Uncovering Micromobility Patterns in Non-Urban Landscapes: Insights from the MORE Sharing System
  3. Daniel Bogdoll – FZI Research Center for Information Technology: On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach
  4. Kenny Chandra Wijaya – Purdue University: Public Charging Preferences for Long Distance Electric Vehicle Travel: A Stated Choice Experiment Among Experienced and non-Experienced Users
  5. Ruili Yao – University of California, Riverside: Agent-based Simulation Evaluation of CBD Tolling: A Case Study from New York City
  6. Haishan Liu – University of California, Riverside: Evaluation of Mixed Electric Fleet for Ride-Hailing Services under California’s Clean Miles Standard: A Case Study in San Francisco
  7. Wanqin Xie – University of Kassel: Comparison of models for the prediction of travel time for public transport prioritization
  8. Junyi Ji – Vanderbilt University: Virtual trajectories for I-24 MOTION: Data and Tools


  1. Amir Shafiee – University of Illinois Chicago: Using Autonomous Modular Vehicle Technology as an Alternative for Last-Mile Delivery
  2. Lasse Bienzeisler – TU Braunschweig, University: Cutting Redundancy, Slashing Emissions: The Role of Consolidation for a Sustainable Last-Mile Delivery
  3. Jane Lin – University of Illinois Chicago: Network Equilibrium Modeling for Long-Haul Electric Trucks
  4. Hongyu Lu – Georgia Institute of Technology: Well-to-Wheel Energy Use and Emissions Impacts of Conventional and Alternative Fuels on Delivery of Live Clams to Atlanta Metro Area: Diesel vs. Solar
  5. Yiqiao Li – University of California, Irvine: A Deep Learning Approach for Drayage Truck Identification Using Inductive Loops
  6. Kanok Boriboonsomsin – University of California, Riverside: Real-World Activity Patterns of Heavy-Duty Battery Electric Trucks from Regional Distribution Fleets in Southern California
  7. Pengfei Chen – University of Southern California: Freight Routing for System Efficiency and Sustainability
  8. Jordan Smith – Southern California Edison Company: Southern California Edison’s Innovative Solutions to Accelerating Electric Transportation and Securing Charging Resiliency Across Vehicle Classes