Review on the impacts of cooperative automated driving on transportation and environment
This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …
Dynamic eco-driving near signalized intersections: Systematic review and future research directions
Advancements in the field of telematics have empowered the development of connected
vehicle (CV) applications, which optimize the energy and traffic efficiency of vehicular traffic …
vehicle (CV) applications, which optimize the energy and traffic efficiency of vehicular traffic …
Vehicle platooning impact on drag coefficients and energy/fuel saving implications
AA Hussein, HA Rakha - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, empirical data obtained from the literature were used to develop models that
capture the impact of the vehicle position in a platoon of homogeneous vehicles and the …
capture the impact of the vehicle position in a platoon of homogeneous vehicles and the …
Field implementation and testing of an automated eco-cooperative adaptive cruise control system in the vicinity of signalized intersections
This paper field implements and conducts a unique controlled field experiment designed to
evaluate an Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system that computes …
evaluate an Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system that computes …
Joint optimization of signal phasing and timing and vehicle speed guidance in a connected and autonomous vehicle environment
A joint traffic signal optimization algorithm is proposed which utilizes connected vehicle (CV)
information to identify optimum signal timing and phasing plans while also providing speed …
information to identify optimum signal timing and phasing plans while also providing speed …
[HTML][HTML] Framework for connected and automated bus rapid transit with sectionalized speed guidance based on deep reinforcement learning: Field test in Sejong city
Abstract Nowadays, Automated Vehicle (AV) technology is gaining attention as a candidate
to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
A fuel consumption model for mixed traffic flow in multiple connected and autonomous scenarios
The potential increase/decrease in energy consumption of traffic operation modes is a hot
topic in the studies of connected and autonomous vehicles (CAVs), but there are few …
topic in the studies of connected and autonomous vehicles (CAVs), but there are few …
[HTML][HTML] Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections
This study proposes autonomous eco-driving strategies for a traffic environment with limited
information available based on three popular Reinforcement Learning (RL) algorithms for …
information available based on three popular Reinforcement Learning (RL) algorithms for …
Can autonomous vehicles save fuel? Findings from field experiments
L Zhang, T Zhang, K Peng, X Zhao… - Journal of Advanced …, 2022 - Wiley Online Library
The majority of the more recent studies have mainly focused on how to achieve energy‐
efficient goals by optimizing the driving behavior for human‐driven vehicles or designing …
efficient goals by optimizing the driving behavior for human‐driven vehicles or designing …
Multi-vehicle trajectory design during cooperative adaptive cruise control platoon formation
Cooperative adaptive cruise control (CACC) organizes connected and automated vehicles
(CAVs) in platoons to improve traffic flow and reduce fuel consumption. Platoon formation …
(CAVs) in platoons to improve traffic flow and reduce fuel consumption. Platoon formation …