Article
Chemistry, Multidisciplinary
Sasa Ahac, Maja Ahac, Igor Majstorovic, Silvio Basic
Summary: This paper investigates the design and speed reduction capabilities of two-geometry roundabouts and conducts computer simulations on 40 four-legged single-lane roundabout schemes. The results show that truck aprons must be included in the design to ensure the compliance of the roundabouts under certain conditions.
APPLIED SCIENCES-BASEL
(2023)
Article
Thermodynamics
Lin Herencic, Matija Melnjak, Tomislav Capuder, Ivan Androcec, Ivan Rajsl
Summary: The text discusses the importance of decarbonization and transformation of the power system, emphasizing the flexibility needs and user participation. Through the model of Multivector Energy Communities, flexibility can be increased and the utilization of local renewable energy sources can be enhanced.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Marija Korican, Maja Percic, Nikola Vladimir, Vladimir Soldo, Ivana Jovanovic
Summary: The increased demand for fish products has led to investments and modernization in aquaculture, but it has also resulted in higher energy needs and greater environmental impact. This study examines the use of renewable energy sources in mariculture systems and evaluates their environmental and economic performance. The results show a reduction in emissions and an increase in profitability when renewable energy sources are utilized.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Morteza Zare Oskouei, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Mahmood Shafiee, Amjad Anvari-Moghaddam
Summary: This paper proposes a holistic structure for the optimal coordinated operation of grid-connected energy hubs and regional power systems based on high wind power penetration, aiming to address challenges such as renewable energy curtailment and total operating costs. Through empirical case studies, the effectiveness and feasibility of the proposed structure are validated.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Klaus Ackermann, Sefa Awaworyi Churchill, Russell Smyth
Summary: This study examines the impact of access to high-speed internet on the probability of energy poverty. The results show that an increase in the proportion of a postcode gaining access to high-speed internet leads to an average increase in the probability of energy poverty. The study also finds that this relationship is mediated by social capital, with lower levels of social capital contributing to higher levels of household energy poverty.
Article
Engineering, Mechanical
Yanhong Ma, Chenglong Shi, Yongfeng Wang, Yi Zhou, Jie Hong
Summary: Making use of gyro effect in adjusting resonance speed distribution is important in avoiding resonance design of high-speed rotor system. This paper decomposes kinetic energy components of the rotor, deduces equilibrium relationship between modal kinetic energy and potential energy, and defines ratios of gyro kinetic energy as parameters to evaluate the effect of gyroscopics on resonance characteristics. The gyroscopic effect of a typical complex high-speed rotor system is evaluated, and a method to predict resonance speed under gyro effect is proposed and verified experimentally.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Civil
Marcus A. A. Brewer, Hongmin Tracy Zhou, Jonathan Tydlacka, David Florence
Summary: A recent research project investigated the operational benefits of modern roundabouts for high-speed locations that serve heavy vehicles and developed best practices for design. The study compiled proven results from other states and collected and analyzed data to develop updated design guidance for roundabouts that accommodate oversize/overweight vehicles in rural areas. Activities and findings from the project demonstrate that the use of drones for data collection, paired with a computer algorithm-based data reduction method, is an effective alternative to traditional methods. Field data and simulation results confirm that roundabouts can be designed to accommodate heavy and oversize/overweight vehicles in rural areas with high-speed approaches, outperforming two-way stop-controlled intersections.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Environmental Sciences
Yatang Lin, Yu Qin, Jing Wu, Mandi Xu
Summary: The study shows that the construction of new high-speed rail routes in China has a significant impact on reducing road traffic and carbon emissions, primarily through substitution effects. The environmental benefits mainly come from replacing highway goods transport with conventional railways, and it is projected that under greener electricity conditions, high-speed rail in China can contribute even more to reducing greenhouse gas emissions in the transport sector.
NATURE CLIMATE CHANGE
(2021)
Article
Construction & Building Technology
Alireza Aslani, Caroline Hachem-Vermette
Summary: This research compares the energy performance and environmental damages of high thermal performance building envelopes designed for cold-climate regions with conventional stud walls using the LCA method. Results show that HTPBEs with R-50 can significantly reduce HVAC energy consumption and CO2 emissions, making them reliable options for cold climates.
ENERGY AND BUILDINGS
(2022)
Article
Economics
Andoni Kortazar, Gorka Bueno, David Hoyos
Summary: Spain has the world's second longest high-speed rail network, but not all construction of these lines can be justified in terms of energy savings and emission reductions. Decisions to build new sections should be based on demand analysis, focusing on corridors with high transport demand, and policymakers should consider other transport-related measures to reduce environmental impacts without the burden of building new infrastructures.
RESEARCH IN TRANSPORTATION ECONOMICS
(2021)
Article
Environmental Sciences
Zhi Wang, Wenmin Huang, Kangjia Li, Wei Wei, Zhen Liu
Summary: Developing countries are facing the challenge of balancing economic growth and environmental protection. This study examines the impact of high-speed rail (HSR) on firm-level environmental performance in China. Using data from 2002 to 2012, the results show that firms have lower levels of chemical oxygen demand (COD) emissions after the introduction of HSR. The reduction effect is more significant for firms located in eastern regions and those that are technology-intensive and labor-intensive.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Studies
Belen Martin, Emilio Ortega, Agata de Isidro, Carlos Iglesias-Merchan
Summary: The arrival of High Speed Rail in Spain from 1990 to 2025 has led to changes in accessibility and habitat connectivity across the territory. While accessibility has increased by 74.7% due to HSR expansion, environmental impacts include a decline in connectivity. The study highlights the need for further research to establish a reliable spatial scale for assessing the effects of HSR corridors at a strategic level.
Article
Chemistry, Physical
Alperen Sari, Egemen Sulukan, Dogus Ozkan, Tanay Sidki Uyar
Summary: The global maritime transportation sector currently relies on fossil resources, but hydrogen energy is emerging as a key alternative. Although the use of hydrogen in ships faces challenges in production and storage, fuel cell technology may enable hydrogen to become the main propulsion system for long-distance transportation in the maritime sector.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Engineering, Marine
L. A. Diaz-Secades, R. Gonzalez, N. Rivera
Summary: This study investigates the feasibility of recovering waste heat from marine diesel engine blocks and evaluates the energy, economic, and environmental impacts. The findings indicate that waste heat recovery can significantly reduce CO2 and NOx emissions from ships.
Article
Green & Sustainable Science & Technology
Seyed Mohsen Hosseini, Alireza Aslani, Alibakhsh Kasaeian
Summary: This study adopts a hybrid life cycle assessment method to evaluate the energy, water, and environmental impacts of high-voltage electricity generation in Iran. The findings indicate that natural gas-fired power plants contribute the most to the life-cycle impacts of electricity generation, while wind and hydropower plants have minimal contributions. The study suggests that ensuring an adequate supply of natural gas during cold seasons can partially reduce water and environmental impacts, but increasing the share of renewable energy can significantly reduce the overall impacts.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Computer Science, Software Engineering
Hao Chen, Qi Han, Qiong Li, Xiaojun Tong
Summary: This paper proposes a blind detection model for image forensics based on weak feature extraction, which can detect unnatural features in images with a wide detection range and good accuracy. The model utilizes artificial neural networks and feature extraction methods to extract weak features from images, and uses convolution and deep residual networks for feature extraction. The final judgment is made through feature classification networks and a target regression network.
Article
Engineering, Civil
Thanapol Promraksa, Thaned Satiennam, Wichuda Satiennam, Nopadon Kronprasert
Summary: This study investigates the factors that influence the lateral clearance of motorcycle riders performing lane filtering at signalized urban intersections in developing countries. The findings show that the instant speed, side of the filtering motorcycle, condition and type of the lateral vehicle, and riding frequency of the motorcycle rider significantly affect the lateral clearance. These findings have implications for lane filtering management, connected autonomous vehicles, and microscopic traffic simulations for motorcycles in mixed traffic at signalized urban intersections.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Engineering, Civil
Kyoungho Ahn, Jianhe Du, Mohamed Farag, Hesham A. Rakha
Summary: The paper evaluates the effectiveness of an Eco-Cooperative Automated Control (Eco-CAC) system on a large-scale network in reducing fuel and energy consumption, travel time, and delays. Results show that the system is effective in heavily congested conditions, but the outcomes vary depending on different vehicle compositions and traffic conditions.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Public, Environmental & Occupational Health
Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Nopadon Kronprasert, Vatanavongs Ratanavaraha
Summary: This paper examines the impact of weekday, weekend, and holiday crashes on the severity of motorcyclist injury in Thailand using four-year crash data. The study employs a random parameters logit model and finds significant factors that affect injury severity at different times and years. The findings provide valuable knowledge for enhancing motorcycle safety and developing effective injury mitigation policies.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2022)
Review
Engineering, Industrial
Ammar Sohail, Muhammad Aamir Cheema, Mohammed Eunus Ali, Adel N. Toosi, Hesham A. Rakha
Summary: Road crashes cause significant loss of lives, prompting researchers and transport engineers to focus on data-driven approaches to improve road safety. This study reviews 70 relevant articles, categorizing data sources, equipment, sensors, and analysis methodologies used in data-driven road safety research, highlighting future directions and challenges, such as data collection, poor data quality, and lack of ground truth data.
Article
Green & Sustainable Science & Technology
Phakphum Sakuljao, Wichuda Satiennam, Thaned Satiennam, Nopadon Kronprasert, Sittha Jaensirisak
Summary: Automated vehicles (AVs) offer advantages such as enhanced safety, reduced emissions, and reduced congestion. However, their adoption in developing countries faces challenges related to technology and psychology. This study focuses on identifying factors that influence the intention to use conditionally automated vehicles (Level 3). A trust-based extended technology acceptance model (TAM) is proposed and examined with online survey data from 299 participants in Thailand. The results show that trust is the strongest predictor of intention, followed by perceived ease of use, while perceived usefulness has no impact.
Article
Green & Sustainable Science & Technology
Thanapol Promraksa, Thaned Satiennam, Wichuda Satiennam, Patiphan Kaewwichian, Nopadon Kronprasert
Summary: This study used UAVs to observe the stopping behavior of 1413 motorcycle riders at signalized intersections in Thailand and identified the factors influencing their choice of stopping locations. The results showed that factors such as intention to turn right, morning peak period, presence of shadows, lack of helmet usage, presence of larger vehicles in the queue, and density of desired stopping locations significantly influenced the motorcyclists' stopping locations. The findings provide practical policy recommendations to improve the safety of motorcyclists at signalized intersection approaches.
Article
Energy & Fuels
Kyoungho Ahn, Ahmed Aredah, Hesham A. Rakha, Tongchuan Wei, H. Christopher Frey
Summary: This paper introduces a simple diesel train energy consumption model based on vehicle operational input variables, which can be easily obtained from GPS loggers. The model was tested against real-world data and showed good accuracy, with a total error of -1.33% for all data and varying errors for different train datasets. The study also validated the model with separate data, yielding a relative error of -1.55% for total energy consumption. The proposed model can be useful for evaluating energy consumption effects and conducting train simulations in transportation planning.
Article
Chemistry, Analytical
Mohamed M. G. Farag, Hesham A. Rakha
Summary: Cellular vehicle-to-everything (C-V2X) is a communication technology that supports various applications in safety, mobility, and environment, characterized by higher reliability compared to other technologies. The performance of C-V2X-enabled intelligent transportation system (ITS) applications is influenced by the C-V2X communication technology (mainly packet loss), while the communication performance is affected by the vehicular traffic density, which is determined by traffic mobility patterns and vehicle routing strategies.
Article
Engineering, Civil
Amr K. Shafik, Seifeldeen Eteifa, Hesham A. Rakha
Summary: This paper introduces a robust green light optimal speed advisory (GLOSA) system that considers a probability distribution. The system finds the least-cost vehicle trajectory using a computationally efficient algorithm and dynamic programming to minimize fuel consumption while ensuring safety and passenger comfort. Simulation results show significant fuel savings compared to uninformed driver behavior, and a sensitivity analysis demonstrates the required levels of confidence in predictive timing accuracy to achieve optimal fuel consumption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Mujahid I. Ashqer, Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Marwan Bikdash
Summary: This study introduces a novel approach using probe vehicle data for traffic density estimation, and validates it using datasets from intersections in Greece and Germany. The results show that even with low market penetration rate, relying solely on probe vehicle data can effectively predict traffic density, and having signal phase and timing information is not necessarily important for accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Proceedings Paper
Hao Chen, Hesham A. Rakha
Summary: This paper integrates an Eco-Cooperative Adaptive Cruise Control at Intersections (Eco-CACC-I) controller with a multi-objective dynamic router and tests it on a large-scale metropolitan network. The test results demonstrate that the integrated controller improves system-level performance by reducing energy consumption and delays.
2022 IEEE INTERNATIONAL CONFERENCE ON SMART MOBILITY (ICSM 2022)
(2022)
Article
Energy & Fuels
Kyoungho Ahn, Hesham A. Rakha
Summary: This paper presents a simple energy consumption model for hydrogen fuel cell vehicles. The model accurately estimates energy consumption using input variables such as vehicle speed, acceleration, and roadway grade. It can be used by transportation engineers, policy makers, automakers, and environmental engineers to evaluate the energy consumption effects of transportation projects and connected and automated vehicle (CAV) transportation applications within microscopic traffic simulation models.