Nonlinear Systems and Models of Traffic Flow for Intelligent Transportation and Communication

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2828

Special Issue Editor

Institute for Intelligent System Technologies, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
Interests: nonlinear oscillatory theory with applications; analog computing; neuro-computing with applications in systems simulation and ultra-fast differential equations solving; traffic modeling and simulation

Special Issue Information

Dear Colleagues,

The recent developments in science and technology call for advanced instruments for a robust systems engineering and/or analysis, especially regarding modeling, simulation, control/optimization, forecasting and communication under particularly hard system-theoretical challenges as well as hard practical constraints and requirements. This is particularly challenging whenever one has to cope with complexly behaving complex systems. Transportation and communication systems are a typical/good examples of complex and complexly behaving systems. This complexity inherently manifests itself through traffic scenarios and phenomena described by traffic flow data, traffic flow models and related computational challenges of the resulting traffic flow models for the enabling of real-time computational engineering. Also, the flexible implementability over various MOSFETs technologies, hardware and/or software target platforms is an issue of interest in this special issue as this could lead to a concrete practical implementation of a particularly robust and powerful computational systems’ science characterized by both cost and energy effectiveness.

In this Special Issue, we invite submissions exploring the development of methods, conceps and algorithms for analysing traffic flow in transportation and communication engineering. The main focus is on Modeling, simulation, Control/optimization, forecasting and communication. Contributions can focus on Mathematical methods, Numerical simulations, Analog computing, MOSFETs technology, Oscillatory theory, Synchronization and Self-organization, Stability and Bifurcation analysis, Chaos theory, Sensors, Hardware, Algorithms, Graph theory, or Integrated monitoring and prediction systems for communication. Survey papers and reviews are also welcomed.

Prof. Dr. Jean Chamberlain Chedjou
Guest Editor

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Published Papers (2 papers)

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Research

12 pages, 1687 KiB  
Article
Combined Influence of Gate Oxide and Back Oxide Materials on Self-Heating and DIBL Effect in 2D MOS2-Based MOSFETs
Appl. Sci. 2023, 13(10), 6131; https://doi.org/10.3390/app13106131 - 17 May 2023
Viewed by 846
Abstract
In this paper, degradation effects, such as self-heating effect (SHE) and drain-induced barrier lowering (DIBL) effect in 2D MoS2-based MOSFETs are investigated through simulations. The SHE is simulated based on the thermodynamic transport model. The dependence of the DIBL effect and [...] Read more.
In this paper, degradation effects, such as self-heating effect (SHE) and drain-induced barrier lowering (DIBL) effect in 2D MoS2-based MOSFETs are investigated through simulations. The SHE is simulated based on the thermodynamic transport model. The dependence of the DIBL effect and the lattice temperature in the middle of the channel on the gate length is considered for transistors with different gate oxide and back oxide (BOX) materials. The effects of Al2O3 and HfO2 as gate oxide and SiO2 and HfO2 as BOX materials are compared. Transistors, in which the channel is fully and partially (i.e., just below the gate) covered by a gate oxide, are considered. It is shown that the transistors with Al2O3 as gate oxide and SiO2 as BOX materials have higher immunity to DIBL effect and transistors with HfO2 as gate oxide and HfO2 as BOX materials have higher immunity to SHE. Full article
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19 pages, 3995 KiB  
Article
Approach Draft to Evaluate the Transport System State—A Case Study Regarding the Estimation Ratio Model of Transport Supply and Demand
Appl. Sci. 2023, 13(7), 4638; https://doi.org/10.3390/app13074638 - 06 Apr 2023
Cited by 3 | Viewed by 1248
Abstract
The article suggests a system dynamics model for estimating the demand for public transport. Traditional scientific and technical transport modeling approaches involve coherent systems, meticulously considering other impactful variables for transport modeling. The vastness of the variables and their combinations hinder us from [...] Read more.
The article suggests a system dynamics model for estimating the demand for public transport. Traditional scientific and technical transport modeling approaches involve coherent systems, meticulously considering other impactful variables for transport modeling. The vastness of the variables and their combinations hinder us from grasping all possible system interactions. This research aims at proposing a model that comprises decisive factors in relation to the supply and demand in various modes of transport, designing likely scenarios of the transport system development in a specific transport territory. The model uses system dynamics tools to explore the interaction between individual system elements and transport subsystems. A wise choice of crucial system elements, well-adjusted relationships and behavior settings, as well as system dynamics tools, allow for a considerable simplification of an otherwise complex system. The article works with a principle of stock and flow diagrams for forecasting supply and demand in public transport. We take into consideration the implementation of a ‘demand index’ in public and car passenger transport with a subsequent comparison. This innovative approach monitors the development of a regional or municipal transport system while assessing its sustainability. Suggested demand indexes may serve as indicators for a sustainable municipal system. The suggested model reflects data from the South Bohemian region in the Czech Republic and may involve other elements and indicators of a sustainable transport system. Full article
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