[HTML][HTML] Development of an energy efficient and cost effective autonomous vehicle research platform

NE Brown, JF Rojas, NA Goberville, H Alzubi… - Sensors, 2022 - mdpi.com
Commercialization of autonomous vehicle technology is a major goal of the automotive
industry, thus research in this space is rapidly expanding across the world. However, despite …

Mobility energy productivity evaluation of prediction-based vehicle powertrain control combined with optimal traffic management

Transportation vehicle and network system efficiency can be defined in two ways: 1)
reduction of travel times across all the vehicles in the system, and 2) reduction in total …

Development of a Flexible Smart Wearable Oximeter Insole for Monitoring SpO2 Levels of Diabetics' Foot Ulcer

M Panahi, S Masihi, AJ Hanson… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
This work presents the development of a fully functional prototype of a wearable smart shoe
insole that can monitor arterial oxygen saturation (SpO 2) levels at the foot of a diabetic …

Evaluation of autonomous vehicle control strategies using resilience engineering

JF Rojas, T Bradley, ZD Asher - Machine Learning and Optimization …, 2023 - Springer
Deployment of newly developed autonomous vehicle (AV) technology on public roads may
result in exposure to the public of high levels of danger. A proactive metric, as opposed to a …

[HTML][HTML] Forecasting the amount of traffic-related pollutant emissions by neural networks

V Shepelev, I Slobodin, A Gritsenko… - Frontiers in Built …, 2022 - frontiersin.org
Continuous urbanization has led to a significant increase in traffic density in large cities and
a concomitant growth of vehicle emissions (Davis et al., 2005; Perugu, 2019). An effective …

Development of a FHE based temperature and humidity sensing system for asset monitoring applications

M Panahi, AJ Hanson, D Maddipatla… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
A novel flexible hybrid electronics (FHE) based system was developed to monitor
temperature and humidity inside any storage container. The primary components for the …

A seq2seq learning method for microscopic emission estimation of on-road vehicles

Z Zhao, Y Cao, Z Xu, Y Kang - Neural Computing and Applications, 2024 - Springer
Microscopic emission estimation based on driving states plays a crucial role in controlling
the pollution of on-road vehicles. Existing research has evolved from fitting nonlinear models …

Transfer Methods for Vehicle Carbon Emission Models Based on the Parallel Transportation System

Y Sun, Y Hu, H Zhang, H Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle carbon emission models are essential for monitoring and managing transportation
emissions. Considering the numerous vehicle types and diverse driving conditions …

Vehicle Lateral Offset Estimation Using Infrastructure Information for Reduced Compute Load

S Sharma, JF Rojas, AR Ekti, CR Wang, Z Asher… - 2023 - sae.org
Accurate perception of the driving environment and a highly accurate position of the vehicle
are paramount to safe Autonomous Vehicle (AV) operation. AVs gather data about the …

[图书][B] Enabling Energy Efficiency in Connected and Automated Vehicles through Predictive Control Techniques

F Motallebiaraghi - 2023 - search.proquest.com
The transportation sector is a significant contributor to global energy consumption and
emissions, necessitating the development of sustainable transportation systems. In this …