Article
Engineering, Civil
Marco Mirabilio, Alessio Iovine, Elena De Santis, Maria Domenica Di Benedetto, Giordano Pola
Summary: This paper introduces a human-inspired Adaptive Cruise Control system that utilizes Model Predictive Control and traffic macroscopic information to enhance the passenger experience by reducing traffic congestion and dangerous emissions while improving safety on the roads.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Juan Francisco Coloma, Marta Garcia, Gonzalo Fernandez, Andres Monzon
Summary: The study analyzed the impact of eco-driving on fuel consumption and greenhouse gas emissions for courier deliveries in small cities, finding that eco-driving training does not necessarily lead to more sustainable driving for professional drivers under pressure, but there is a trend of fuel savings when using more efficient routes.
Article
Green & Sustainable Science & Technology
Triluck Kusalaphirom, Thaned Satiennam, Wichuda Satiennam, Atthapol Seedam
Summary: This research focuses on developing a real-world eco-driving cycle for motorcycles to reduce fuel consumption and CO2 emissions, using onboard measuring equipment to collect real-world data and analyzing it to show the benefits of the eco-driving cycle compared to non-eco-driving cycles.
Article
Transportation
Yanyan Qin, Hao Wang, Bin Ran
Summary: The study demonstrates that stability can qualitatively impact reductions in emissions and fuel consumption, providing a potential method for reducing emissions and fuel consumption in traffic.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Chemistry, Multidisciplinary
Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada, Jun-ichi Imura
Summary: This paper presents an adaptive cruise control (ACC) system with look-ahead anticipation, which improves driving performance by predicting relative states of the preceding vehicle. Multiple vehicles were evaluated in typical traffic scenarios to examine individual driving behavior and vehicle string stability. Additionally, the influences of a small part of vehicles with the proposed ACC on overall traffic were investigated using a traffic simulator and compared with the performances of overall traffic.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Industrial
Craig K. Allison, Neville A. Stanton, James M. Fleming, Xingda Yan, Roberto Lot
Summary: Despite the known benefits of eco-driving, its psychological impact has been less studied. Engaging in eco-driving can reduce fuel consumption but has negative effects on journey time and mood. However, it has positive effects on self-esteem, suggesting potential longer term psychological benefits.
APPLIED ERGONOMICS
(2022)
Article
Engineering, Electrical & Electronic
O. Mata-Carballeira, I. del Campo, E. Asua
Summary: New challenges in transport systems are emerging with the advancement of autonomous cars, raising concerns about ride comfort and pollution issues. A self-organised map-based solution is proposed to assess ride comfort features of individuals based on their driving style, aiming to improve both ride comfort evaluation parameters and greenhouse-gas emissions.
IET INTELLIGENT TRANSPORT SYSTEMS
(2022)
Article
Energy & Fuels
Francisco Velasquez-SanMartin, Xabier Insausti, Marta Zarraga-Rodriguez, Jesus Gutierrez-Gutierrez
Summary: This paper proposes a mathematical model for analyzing fuel consumption during aircraft cruise, which provides performance parameters close to reality. The model can also improve the calculation of carbon dioxide emissions for different routes by using the closed-form formula for fuel flow rate.
Article
Environmental Studies
Fangwu Ma, Yu Yang, Jiawei Wang, Xinchen Li, Guanpu Wu, Yang Zhao, Liang Wu, Bilin Aksun-Guvenc, Levent Guvenc
Summary: The Eco-CACC proposed in this study combines eco-driving and car-following techniques to minimize energy consumption of automated vehicle platoons. Testing results show that Eco-CACC can significantly improve energy performance compared to manual driving.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Rocio Cotta Antunez, Michael W. Levin
Summary: Transportation is a major contributor to greenhouse gas emissions. Eco-routing, which aims to minimize fuel consumption or emissions by modifying route choices, is a popular approach to reducing these emissions. However, the Braess paradox suggests that when vehicles prioritize individual fuel consumption or emissions, the overall effect may be counterproductive due to changes in congestion patterns. By constructing a multiclass user equilibrium model and analyzing real city network data, we demonstrate the existence of the Braess paradox in eco-routing, leading to an increase in fuel consumption and emissions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation Science & Technology
Yinglong He, Marcello Montanino, Konstantinos Mattas, Vincenzo Punzo, Biagio Ciuffo
Summary: This paper investigates the accuracy and robustness of car-following (CF) and adaptive cruise control (ACC) models in reproducing measured trajectories of commercial ACCs. The study found that physics-based extensions provide limited improvements to the accuracy of existing models, and the linear controller with Gipps' spacing policy has resulted the most accurate model, while the IDM the most robust to different input trajectories.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Psychology, Applied
Rotem Duffney, Avinoam Borowsky, Hillel Bar-Gera
Summary: The motivation for overtaking is influenced by factors such as desired speed, aggressiveness, competitiveness, and sensation-seeking. The presence of an adaptive cruise control (ACC) system and the configuration of the headway time affect the driver's tendency to overtake, as well as the speed and speed variance of the lead vehicle.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Economics
Javier Bas, Jose L. Zofio, Cinzia Cirillo, Hao Chen, Hesham A. Rakha
Summary: The study explores the potential market share of the Eco-Cooperative Adaptive Cruise Control (Eco-CACC) using a stated choice experiment and models of discrete choice. The results show that potential purchasers consider the trade-off between system cost and fuel savings, with electric vehicle purchasers being less favorable due to the lower cost of electricity. However, there is a significant market share for alternatives that include the Eco-CACC, suggesting a positive attitude towards environmentally friendly technological innovations.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Thermodynamics
Duo Zhang, Yin-Ying Tang, Qi-Yuan Peng
Summary: This paper proposes an effective method to reduce driving energy consumption in railway vehicles by optimizing the damping coefficients. The method has been verified and shown to significantly decrease energy consumption, improving both economic and environmental benefits.
Article
Automation & Control Systems
Yu Zhang, Mingfan Xu, Yechen Qin, Mingming Dong, Li Gao, Ehsan Hashemi
Summary: The multiobjective adaptive cruise control proposed in this article is based on a novel integrated structure, which consists of an adaptive controller and switching mechanism. The controller combines upper and lower layers for switching modes to avoid collisions and maintain tracking capability in complex driving scenarios. The effectiveness, real-time performance, and robustness of the integrated structure are validated through complex scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Thermodynamics
Zifei Nie, Hooman Farzaneh
Summary: This study introduces a real-time dynamic predictive cruise control (PCC) system based on the MPC algorithm to minimize energy consumption for electric vehicles under integrated traffic situations. The system utilizes SPaT-oriented MPC and car-following oriented MPC to calculate optimal control signals and maintain safe interdistances, demonstrating successful validation in real-world tests and robust performance in high-speed driving scenarios.
Article
Environmental Sciences
Jiawen Guo, Huijuan Dong, Hooman Farzaneh, Yong Geng, Carly L. Reddington
Summary: This study quantified the capacity utilization rate of China's industry, forecasted the environmental and health co-benefits of the de-capacity policy, and provided recommendations based on the findings.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Energy & Fuels
Kashif Sohail, Hooman Farzaneh
Summary: This research introduced a comprehensive mathematical modeling approach based on the maximization of the power coefficient to regulate power losses in the wind turbine power train. The study found that different types of losses had varying impacts on the power coefficient in different wind speed regimes.
Article
Environmental Sciences
Hooman Farzaneh, Mehrnoosh Dashti, Eric Zusman, So-Young Lee, Damdin Dagvadorj, Zifei Nie
Summary: This study quantifies the environmental, health, and economic benefits of using solar power in a sub-district in Ulaanbaatar, Mongolia. The results show significant reductions in greenhouse gas emissions and fine particulate matter, as well as cost savings for the local economy. A user-friendly spreadsheet tool was developed to evaluate these benefits and can be used as a decision-making tool.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Energy & Fuels
Zifei Nie, Hooman Farzaneh
Summary: In this research, a novel lane-changing motion planning strategy for personalized energy-efficient autonomous driving is proposed aiming to achieve energy-efficient, personalized, and safe mobility. The key technologies involve trajectory planning and trajectory tracking, and a driving style identification module is developed based on real driving data. By utilizing a real-time nonlinear model predictive controller, the vehicle can precisely and rapidly track the energy-optimal lane-changing trajectory representing a specific driving style.
Article
Energy & Fuels
Rudha Khudhair Mohammed, Hooman Farzaneh
Summary: This study uses the Life Cycle Assessment (LCA) methodology to examine the environmental implications of CO2 capture from a natural gas combined cycle power plant in Iraq. Two different design scenarios, retrofit and grassroots, are considered. Results show a 28% reduction in Global Warming Potentials (GWPs) and a 14% and 17% increase in Particulate Matter Formation Potential (PMFP) and Acidification Potential (AP), respectively, in the grassroots scenario. Uncertainty analysis indicates that uncertain factors significantly affect the statistical significance of the environmental impact evaluation in this research.
Article
Green & Sustainable Science & Technology
Taofeek Afolabi, Hooman Farzaneh
Summary: This study analyzes the technical and economic aspects of an off-grid hybrid renewable energy system (HRES) in a rural community in Nigeria. It develops a size optimization model using particle swarm optimization (PSO) to determine the optimal configuration of the system based on minimizing the levelized cost of electricity and incorporates a fuzzy-logic-controlled energy management system (EMS) for dynamic power control and energy storage. The results provide important insights for decision-making and feasibility studies on implementing minigrids in rural communities.
Article
Chemistry, Multidisciplinary
Precious P. Daka, Hooman Farzaneh
Summary: This study develops an integrated modeling approach to analyze different scenarios' effects on energy demand and supply in Zambia compared to a baseline scenario. The model aims to minimize costs by combining available resources and technologies within techno-economic and environmental limits. Through time series analysis, the study forecasts future electricity demand in Zambia, while also identifying the optimal combination of resources and technologies on the supply side. The baseline scenario reveals power outages in Zambia due to reliance on imported fuel, slow integration of renewable resources, and underutilization of resource potential.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Ladan Malehmirchegini, Hooman Farzaneh
Summary: Incentive-based demand response programs incentivize customers to reduce electricity usage during peak periods. This study proposes a multi-objective modeling approach to maximize social welfare, considering economic and social factors. A Kano model is used to assess customer satisfaction, finding that environmental protection has a positive impact. The case study in Japan's electricity market shows that reducing electricity usage and receiving incentives increases customer welfare.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Thermodynamics
Alphonce Ngila Mulumba, Hooman Farzaneh
Summary: Sub-Saharan Africa has the lowest energy access rates globally. This research proposes a hybrid photovoltaic-wind turbine power system coupled to a hybridized storage system composed of a Lithium-Ion battery and a flywheel storage system for off-grid electrification in Kenya. The results showed that the proposed off-grid HRES is highly reliable, meeting the load demand sufficiently in all meteorological conditions experienced in the area of study. Furthermore, adopting a hybrid energy storage system (HESS) realized an annual potential of 858kWh storage capacity gain in the battery when coupled with the flywheel storage system.
ENERGY CONVERSION AND MANAGEMENT-X
(2023)
Article
Green & Sustainable Science & Technology
Mohamed Saad Suliman, Hooman Farzaneh
Summary: This study aims to synthesize the market clearing mechanism (MCM) based on a new perspective that links nationwide energy supply and demand equilibrium with wholesale market prices. By collecting energy capacities from Japanese transmission and distribution utilities, estimating demand curves using price elasticity of demand (PED), and structuring supply curves based on merit order effect, the MCMs are synthesized. The results show that the price drop in the Kyushu region is justified by clean supply and regional interconnections, while nuclear, hydroelectric, and hydro-storage contributions and the balancing market launch mitigate the price spike nationally. Furthermore, increasing the share of baseload resources in 2030 drives prices lower with higher stability compared to the current electricity mix.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Mohamed Saad Suliman, Hooman Farzaneh
Summary: This study quantitatively analyzes the energy policy regulations regarding the liberalization of the Japan spot market and examines the impact of different energy production technologies on spot prices. The study also explores the interdependency of regional spot prices and the market clearing price. The findings highlight the importance of controlling the applications of hydroelectric storage and provide policy implications for balancing the intermittency of renewable energy sources.
CLEANER ENGINEERING AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Tavoos Hassan Bhat, Hooman Farzaneh, Nishat Tasnim Toosty
Summary: This study aims to analyze the environmental, health, and economic benefits of adopting nonmotorized transportation policy in Delhi, India. Through methods such as residents' willingness surveys, environmental health assessments, the study highlights the significance and benefits of implementing nonmotorized transportation policy in Delhi.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Artificial Intelligence
Ayas Shaqour, Tetsushi Ono, Aya Hagishima, Hooman Farzaneh
Summary: Modern power grids face the challenge of increasing renewable energy penetration and require accurate demand predictions. Increasing self-consumption of renewable energy through demand response is necessary, and high demand prediction performance at lower aggregation levels is essential for optimal performance. This study comprehensively investigates short-term load forecasting at different aggregation levels and identifies challenges in lower aggregation forecasting.
