Integrated optimization of production planning and electric trucks charging and discharging scheduling DOI

Lata P. Karmali,

Amirhosein Gholami, Nasim Nezamoddini

и другие.

Sustainable Energy Grids and Networks, Год журнала: 2024, Номер 39, С. 101397 - 101397

Опубликована: Апрель 25, 2024

Язык: Английский

Electric Vehicles: Benefits, Challenges, and Potential Solutions for Widespread Adaptation DOI Creative Commons
Fayez Alanazi

Applied Sciences, Год журнала: 2023, Номер 13(10), С. 6016 - 6016

Опубликована: Май 13, 2023

The world’s primary modes of transportation are facing two major problems: rising oil costs and increasing carbon emissions. As a result, electric vehicles (EVs) gaining popularity as they independent do not produce greenhouse gases. However, despite their benefits, several operational issues still need to be addressed for EV adoption become widespread. This research delves into the evolution EVs over time highlights including reducing emissions air pollution. It also explores challenges difficulties faced in adoption, such high cost infrastructure, scarcity charging stations, limited range or anxiety, performance batteries. To overcome these challenges, potential solutions include enhancing number using battery swapping techniques, improving technology address anxiety reduce times. Governments can incentivize consumers purchase through tax credits subsidies invest building robust infrastructure. Industry stakeholders collaborate with governments promote EVs, which contribute

Язык: Английский

Процитировано

325

Intelligent transportation systems for sustainable smart cities DOI Creative Commons

Mohamed Elassy,

Mohammed Al-Hattab,

Maen Takruri

и другие.

Transportation Engineering, Год журнала: 2024, Номер 16, С. 100252 - 100252

Опубликована: Апрель 14, 2024

Intelligent Transportation Systems are rapidly expanding to meet the growing demand for safer, more efficient, and sustainable transportation solutions. These systems encompass various applications, from traffic management control autonomous vehicles, aiming enhance mobility experiences while addressing urbanization challenges. This paper examines key components of Systems, including Vehicular Ad-hoc Networks, Traffic Lights, Virtual Mobility Prediction, emphasizing their role in improving efficiency, safety, sustainability. It explores recent advancements communication that enable real-time operations, contributing realization environmentally friendly smart cities.Moreover, addresses security challenges associated with deployment, particularly concerning public transit privacy, presents case studies illustrating benefits integration specific urban areas, its fostering Sustainable Smart Cities. Additionally, it proactive initiatives by automotive manufacturers adhering standards, ensuring mutual drivers centers.

Язык: Английский

Процитировано

74

Environmental regulations, technological innovation, and low carbon transformation: A case of the logistics industry in China DOI
Bin Xu

Journal of Cleaner Production, Год журнала: 2024, Номер 439, С. 140710 - 140710

Опубликована: Янв. 11, 2024

Язык: Английский

Процитировано

22

Smart transportation planning and its challenges in the Kingdom of Saudi Arabia DOI Creative Commons
Khalid Mohammed Almatar

Sustainable Futures, Год журнала: 2024, Номер 8, С. 100238 - 100238

Опубликована: Июнь 26, 2024

In the 21st century, transport has become an essential factor defining countries' progress or failure. The century also witnessed a shift from conventional styles of to modernized and smart models that facilitate effective movement people between various destinations. Smart transportation refers approach integrates modern technologies into system enhance urban mobility efficiency. This paper examined cornerstones benefits planning analyzed challenges implementing in KSA. methodology comprises identifying, screening analyzing peer-reviewed articles on Databases such as Elsevier, Google Scholar, Springer Science Direct were used. During assessment, it became evident safety, convenience, speed are factors inspire KSA towards transport. is beneficial provides employment opportunities, encourages investments improves people's living standards. findings offered helpful insights regarding different issues affect implementation systems KSA, including lack resources, regulatory framework skilled personnel. recommendations study comprise stakeholder involvement intensive planning. country must adopt policy-driven strategies, standardization, inclusive development with clear private, public, research collaboration commitments. Close adherence these will help attain systems.

Язык: Английский

Процитировано

22

Intelligent transportation systems: Machine learning approaches for urban mobility in smart cities DOI
Gen Chen,

Jia wan Zhang

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105369 - 105369

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

20

Society-Centered and DAO-Powered Sustainability in Transportation 5.0: An Intelligent Vehicles Perspective DOI
Yuanyuan Chen, Hui Zhang, Fei–Yue Wang

и другие.

IEEE Transactions on Intelligent Vehicles, Год журнала: 2023, Номер 8(4), С. 2635 - 2638

Опубликована: Апрель 1, 2023

As economic and social activities continue to increase, transportation is increasingly contributing climate change, air pollution other environmental damage. The growing concerns about the sustainability of are forcing everyone in this field think solutions keep our mobility environmentally, economically socially sustainable. To provide a forum for exchange ideas experiences from industry, academia public sector, we have recently held series seminars first Distributed/Decentralized Hybrid Workshop on Sustainability Transportation Logistics (DHW-STL), part Symposia (DHS-STL), Conferences (DHC-STL). This letter provides brief report First DHW-STL discusses potentials, possibilities perspectives driven by Intelligent Vehicles (IV) technologies achieve sustainable intelligent systems logistics.

Язык: Английский

Процитировано

39

An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system DOI Creative Commons
Bingzhe Fu, Wei Wang, Yihuan Li

и другие.

Green Energy and Intelligent Transportation, Год журнала: 2023, Номер 2(2), С. 100067 - 100067

Опубликована: Янв. 20, 2023

The safety and reliability of battery storage systems are critical to the mass roll-out electrified transportation new energy generation. To achieve safe management optimal control batteries, state charge (SOC) is one important parameters. machine-learning based SOC estimation methods lithium-ion batteries have attracted substantial interests in recent years. However, a common problem with these models that their performances not always stable, which makes them difficult use practical applications. address this problem, an optimized radial basis function neural network (RBF-NN) combines concepts Golden Section Method (GSM) Sparrow Search Algorithm (SSA) proposed paper. Specifically, GSM used determine optimum number neurons hidden layer RBF-NN model, its parameters such as base center, connection weights so on by SSA, greatly improve performance estimation. In experiments, data collected from different working conditions demonstrate accuracy generalization ability results experiment indicate maximum error model less than 2%.

Язык: Английский

Процитировано

32

Technical and operational challenges in setting up a decentralized biogas plant: Opportunities and future perspective toward sustainable nation DOI Creative Commons
Deval Singh,

Mamta Tembhare,

Anil Kumar Dikshit

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 185, С. 392 - 407

Опубликована: Март 1, 2024

The proliferation of decentralized biogas plants (DBPs) in emerging economies offers a compelling avenue for sustainable energy production and waste management. community-based application DBPs servers as the potential solution to curb increasing demand modern-day era. This manuscript aims discuss some major issues, facts, suggestions related management urban rural areas. review methodology adopted is based on an extensive literature review, consolidating insights from various scholarly articles, websites, reported documents. examined significance different feedstock characteristics, such moisture content, carbon/biomass ratio, carbon/nitrogen total solids, volatile solid particle size enhance yield. It was found that co-digestion process two or more categories had higher efficacy compared single-use feedstock. study also dissected sites DBPs, which can serve benefits resources logistics multiple stockholders (suppliers, producers, buyers). However, primary aim present highlight practical challenges planning, designing, monitoring-control systems, cost-benefit analysis, resource management, optimization aspects DBPs. transformation (separation, drying, pelletizing, composting, blending, packaging) residues bio-fertilizers intensive process. Therefore, overcome end-users, households, farms, industries, ensure direct communities via clean renewable sources. gives opportunity technocrats, policy makers, practitioners, researchers come-up with indigenous technology strategies promote

Язык: Английский

Процитировано

15

Unraveling the environmental Kuznets curve: interplay between $$CO_2$$ emissions, economic development, and energy consumption DOI
Mohsin Rasheed, Jianhua Liu

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(9), С. 13372 - 13391

Опубликована: Янв. 20, 2024

Язык: Английский

Процитировано

12

Challenges in Achieving Artificial Intelligence in Agriculture DOI
Anjana J. Atapattu, L. Perera, Tharindu D. Nuwarapaksha

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

10