Flow is a new computational framework, built to support a key need triggered by the rapid
growth of autonomy in ground traffic: controllers for autonomous vehicles in the presence of …

Autonomous vehicles promise safer roads, energy savings, and more efficient use of
existing infrastructure, among many other benefits. Although the effect of autonomous …

In this work the trade-off between economic, therefore fuel saving, and ecologic, pollutant
emission reducing, driving is discussed. The term eco-driving is often used to refer to a …

This research developed an eco-driving feedback system based on a driving simulator to
support eco-driving training. This support system could provide both dynamic and static …

We used a driving simulator study to measure the effectiveness of eco-driving training for
both male professional and non-professional drivers. The eco-driving training was from only …

Recent advances in deep reinforcement learning (RL) offer an opportunity to revisit complex
traffic control problems at the level of vehicle dynamics, with the aim of learning locally …

Despite the fact that more and more car dashboards are being equipped with powerful, high-
resolution displays, allowing for radically new ways to design driving feedback, the question …

This paper examines both mathematical formulation and practical implementation of an
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …

Road transportation contributes to about 17% of worldwide CO2-emissions, thereby
accounting heavily for the still accelerating climate change. Eco-efficient driver behavior is a …

This paper reports the findings of an eco-driving trial that was designed enable users to
make pre-trip and on-route decisions when driving as to the optimal route to take. The basis …