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Sustainable Transportation and Policy Planning in City Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 3196

Special Issue Editors


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Guest Editor
Department of Computer Science, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro # 1, Tonantzintla, Puebla C.P. 72840, Mexico
Interests: traffic flow theory; intelligent transportation systems; computational physics; pedestrian mobility; modeling and simulation of complex systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Centro Universitario del Norte, Universidad de Guadalajara, Jalisco, Mexico
Interests: transportation systems; modeling and simulation of complex systems; cellular automata; traffic flow; statistical physics; nonlinear dynamics; renewable energy

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Guest Editor
Department of Computer Science, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro # 1, Tonantzintla, Puebla C.P. 72840, Mexico
Interests: distributed systems; partial ordering; sensor networks; multimedia; network security

E-Mail Website
Guest Editor
Department of Computer Science, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro # 1, Tonantzintla, Puebla C.P. 72840, Mexico
Interests: numerical solution of partial differential equations (PDEs); scientific computing; modelling and simulation of biological and physical phenomena; computational biology; parallel and high-performance computing

Special Issue Information

Dear Colleagues,

Transportation systems are integral to the development of societies, playing a major role on a socio-economic level. However, although the transport sector possesses a vital role, this does not negate the existence of problems caused by this sector. In and around most big cities, the capacities of the existing road networks are often saturated or even exceeded. An immediate consequence of this is the appearance of enormous problems, congestion being the most influential. This can have negative impacts on society and the environment, such as the loss of time, increased fuel consumption, automobile exhaust pollution, increased product prices, etc. Improving travel efficiency by reducing congestion is tantamount to boosting both production and consumption. One of the best strategies to improve the quality of transport in cities is sustainability in traffic management. Therefore, this Special Issue invites researchers to exchange their experiences and research results on sustainable traffic management and policy planning in relation to city development. High-quality research contributions describing original and unpublished results are cordially invited. This will bring huge benefits to scholars in the field, and provide the opportunity to share and read the latest advances in sustainable traffic management and policy planning in relation to city development.

Dr. Noureddine Lakouari
Dr. Rachid Marzoug
Dr. José Roberto Pérez Cruz
Dr. Julio Cesar Perez Sansalvador
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

17 pages, 3389 KiB  
Article
Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions
by Mónica Camas-Náfate, Alberto Coronado-Mendoza, Carlos Jesahel Vega-Gómez and Francisco Espinosa-Moreno
Sustainability 2022, 14(21), 14035; https://doi.org/10.3390/su142114035 - 28 Oct 2022
Cited by 4 | Viewed by 2507
Abstract
The analysis of the behavior of lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for the analysis of this behavior; however, depending on the type of modeling, there are application and optimization restrictions. In this work, a hybrid [...] Read more.
The analysis of the behavior of lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for the analysis of this behavior; however, depending on the type of modeling, there are application and optimization restrictions. In this work, a hybrid model has been made that is capable of predicting the characteristics of a lithium-ion battery. As a novelty, the simplification, at the same time, facilitates the sampling of parameters for their prompt selection for optimization. A new model open to the user is proposed, which has proven to be efficient in simulation time. For example, one hour simulates it in 5 min, providing information detailing how these parameters, State of Health (SOH), Open Circuit Voltage (VOC), State of charge (SOC), and Number of charge and discharge cycles, in the face of temperature variations and charge and discharge cycles. Opening the possibility of optimizing the parameters with different techniques to estimate the performance and dynamics in the face of temperature change and charge and discharge cycles. A model based on linear regressions, manufacturer characteristics, and integrating equations in the electrical model of electrochemical phenomena is proposed. Full article
(This article belongs to the Special Issue Sustainable Transportation and Policy Planning in City Development)
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