Technical Paper
Optimizing Urban Traffic Efficiency via Virtual Eco-Driving Featured by a Single Automated Vehicle
2024-04-09
2024-01-2082
In the face of growing concerns about environmental sustainability and urban congestion, the integration of eco-driving strategies has emerged as a pivotal solution in the field of the urban transportation sector. With a particular focus on Plug-in Hybrid Electric Vehicles (PHEVs), this study introduces a fuel-efficient driving plan for connected and automated vehicles (CAVs) and examines its influence on the fuel efficiency of human-driven vehicle groups in urban traffic scenarios. In urban traffic involving a combination of limited CAVs and a larger count of human-operated vehicles, an eco-driving approach employed by CAVs can provide optimal speed and energy usage trajectories by minimizing a trade-off between the equivalent fuel consumption and travel time with leveraged data from connectivity and advanced mapping systems in real-world traffic scenarios.