A review of motion planning for highway autonomous driving
L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …
that they will sell their driving automation modes in the 2020s. This technology raises …
A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing
M Zhou, H **, W Wang - Transportation Research Part D: Transport and …, 2016 - Elsevier
Fuel consumption models have been widely used to predict fuel consumption and evaluate
new vehicle technologies. However, due to the uncertainty and high nonlinearity of fuel …
new vehicle technologies. However, due to the uncertainty and high nonlinearity of fuel …
Towards connected autonomous driving: review of use-cases
Connected autonomous vehicles are considered as mitigators of issues such as traffic
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …
A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system
Since the flexibility and adaptability of demand responsive transit (DRT) give more potentials
and spaces of embracing eco-routing strategy, this study develops a novel framework of …
and spaces of embracing eco-routing strategy, this study develops a novel framework of …
Real-time vehicular fuel consumption estimation using machine learning and on-board diagnostics data
Instantaneous fuel consumption estimation of fleet vehicles provides essential tools for fleet
operation optimization and intelligent fleet management. This study aims to develop …
operation optimization and intelligent fleet management. This study aims to develop …
Real‐time predictive eco‐driving assistance considering road geometry and long‐range radar measurements
Eco‐driving assistance systems incorporating predictive or feedforward information are a
promising technique to increase energy‐efficiency and reduce CO 2 emissions from road …
promising technique to increase energy‐efficiency and reduce CO 2 emissions from road …
Minimization of fuel consumption for vehicle trajectories
Eco-driving, a timely and well-known subject, aims at reducing fuel consumption by
appropriately maneuvering a vehicle with a human or automated driver. In this work, the eco …
appropriately maneuvering a vehicle with a human or automated driver. In this work, the eco …
A closed-loop speed advisory model with driver's behavior adaptability for eco-driving
X **ang, K Zhou, WB Zhang, W Qin… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Providing drivers with speed advisories is an effective eco-driving method at signalized
intersections. However, all current research on speed advisory models has excluded the …
intersections. However, all current research on speed advisory models has excluded the …
Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
Eco-friendly navigation (aka eco-routing) finds a route from A to B in a road network that
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
Distance-based ecological driving scheme using a two-stage hierarchy for long-term optimization and short-term adaptation
This paper proposes a distance-based ecological (eco)-driving scheme with two stages: one
for long-term speed optimization and the other for short-term adaptation to actual traffic …
for long-term speed optimization and the other for short-term adaptation to actual traffic …