Machine vision based traffic sign detection methods: Review, analyses and perspectives
C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
Optimal eco-driving control of connected and autonomous vehicles through signalized intersections
This article focuses on the speed planning problem for connected and automated vehicles
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …
Eco-cooperative adaptive cruise control at signalized intersections considering queue effects
Traffic signals typically introduce vehicle stops along a trip and thus increase vehicle fuel
consumption levels. In attempt to enhance vehicle fuel efficiency, eco-cooperative adaptive …
consumption levels. In attempt to enhance vehicle fuel efficiency, eco-cooperative adaptive …
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 …
Eco-driving at signalized intersections: A multiple signal optimization approach
Consecutive traffic signalized intersections can increase vehicle stops, producing vehicle
accelerations on arterial roads and potentially increasing vehicle fuel consumption levels …
accelerations on arterial roads and potentially increasing vehicle fuel consumption levels …
Modeling the driving behavior of electric vehicles using smartphones and neural networks
AD Alvarez, FS Garcia, JE Naranjo… - IEEE Intelligent …, 2014 - ieeexplore.ieee.org
The modeling of eco-driving behaviors is a key issue in the research of Intelligent
Transportation Systems. Most efforts have been made regarding internal combustion …
Transportation Systems. Most efforts have been made regarding internal combustion …
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 …
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 …
Ecological adaptive cruise control of plug-in hybrid electric vehicle with connected infrastructure and on-road experiments
This paper examines both mathematical formulation and practical implementation of an
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications
This article presents a novel intersection traffic management system for automated vehicles
and quantifies its impact on fuel consumption and greenhouse gas emissions of CO2 …
and quantifies its impact on fuel consumption and greenhouse gas emissions of CO2 …