The field of transportation is moving towards a more sustainable future, with a focus on reducing emissions and increasing energy efficiency. Researchers are exploring new approaches to optimize vehicle performance, such as using neural networks to estimate operating mode distributions and developing energy-aware motion planning frameworks for connected electric vehicles. Additionally, advancements in predictive routing and model-predictive planning are being made to minimize energy consumption in various transportation modes. Noteworthy papers include: Estimating City-wide operating mode Distribution of Light-Duty Vehicles, which proposes a modular neural network-based framework to estimate operating mode distributions, and Energy-Aware Lane Planning for Connected Electric Vehicles in Urban Traffic, which demonstrates a novel energy-aware motion planning framework that reduces motion energy consumption by up to 24 percent. Overall, these developments are contributing to a more environmentally friendly and efficient transportation system.
Sustainable Transportation Developments
Sources
Estimating City-wide operating mode Distribution of Light-Duty Vehicles: A Neural Network-based Approach
Numerical optimization of aviation decarbonization scenarios: balancing traffic and emissions with maturing energy carriers and aircraft technology
Energy-Aware Lane Planning for Connected Electric Vehicles in Urban Traffic: Design and Vehicle-in-the-Loop Validation
Robust Predictive Routing for Internet of Vehicles Leveraging Both V2I and V2V Links
Two-wheel-driven Electric Superbike Powertrain Optimization
Model-Predictive Planning and Airspeed Regulation to Minimize Flight Energy Consumption
An Integrated Transportation Network and Power Grid Simulation Approach for Assessing Environmental Impact of Electric Vehicles
Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks