Systematic Design Approach Research Articles

A systematic approach for design of distributed wastewater treatment systems

A systematic approach for design of distributed wastewater treatment systems

Design and Fabrication of PVC Pipe Cutting Machine with Hot Wire Mechanism

The utilization of cutting tools presents inherent limitations, encompassing sluggish production rates, inconsistent cutting precision, and elevated manufacturing expenses in the cutting of PVC (Poly-Vinyl Chloride) pipes. Addressing these challenges requires a systematic design approach to engineers to build sustainable new mechanism for PVC pipe cutting apparatus capable of streamlined operation. This study endeavours to conceptualize and develop a unique mechanism comprised of Ni-Chrome heated wire as a replacement of traditional cutter. The design focus is aimed at enhancing the cutting operation within low cost and enhanced sustainability. The methodology for machine design encompasses a complete machine design approach for each single component if a machine utilizing Solidworks 2023, complemented by rigorous mathematical design calculations. The outcomes of this study manifest in the creation of a prototype of Ni-Chrome heated wire machine capable of cutting the pipes within thickness range from 20-35mm and more based on the heated capability of wire. Noteworthy advantages of this machine design include expedited manufacturing processes, reduced energy consumption, and enhanced labour efficiency, thereby augmenting overall productivity. Future research avenues are suggested to encompass an analysis of operator safety considerations, establishment of periodic maintenance protocols, automation, and optimization of spare parts accessibility to further refine the efficacy and longevity of the proposed system.

SystemC framework for architecture modelling of electronic systems in future particle detectors

The prototyping cost in advanced technology nodes and the complexity of future detectors require the adoption of a system design approach common in the industry: design space exploration through high-level architectural studies to achieve clear and optimized specifications.This contribution proposes a configurable SystemC framework to simulate the readout chain from the front-end chips to the detector back-end. The model is transaction accurate, includes an event generator, interfaces with real physics events, and provides metrics such as readout efficiency, latency, and average queue occupancy.This contribution details the structure of the framework and describes a case study based on the LHCb VeLo upgrade II.

Contexts: Research Articles Publisher's statement Methodological Pluralism in Practice: A systemic design approach for place-based sustainability transformations

To leverage the fullest potential of systemic design research in real-world contexts, more diverse and reflexive approaches are necessary. Especially for addressing the place-based and unpredictable nature of sustainability transformations, scholars across disciplines caution that standard research strategies and methods often fall short. While systemic design promotes concepts such as holism, plurality, and emergence, more insight is necessary for translating these ideas into practices for engaging in complex, real-world applications. Reflexivity is crucial to understanding these implications, and systemic design practice will benefit from a deeper discourse on the relationships between researchers, contexts, and methods. In this study, we offer an illustrated example of applying a diverse and reflexive systems oriented design approach that engaged three mountain communities undergoing sustainability transformations. Based on a longitudinal, comparative research project, a combination of methods from systemic design, social science, education, and embodied practices was developed and prototyped across three mountain regions: Ostana, Italy; Hemsedal, Norway; and Mammoth Lakes, California. The selection of these regions was influenced by the researchers’ varying levels of previous engagement. Reflexivity was used to explore how place-based relationships influenced the researchers’ interactions with each community. Different modes of reflexivity were used to analyze the contextual, relational, and boundary-related factors that shaped how the framing, format, and communication of each method and practice adapted over time. We discuss these findings through visualizations and narrative examples to translate abstract concepts like emergence and plurality into actionable insights. This study contributes to systemic design research by showing how a reflexive approach of weaving across different places, methods, and worldviews supports the critical facilitation processes needed to apply and advance methodological plurality in practice.

ANALISIS DESAIN SISTEM PENDATAAN FASILITAS DI PROGRAM STUDI UNIVERSITAS


 
 
 The research aims to analyze and design a campus facility management application system for the digital business program for students. The background of this research is the importance of having an efficient and integrated system to manage campus facilities in the context of the digital business program. The objectives of this study are to identify key issues in campus facility management, design a system that meets the needs of the digital business program, and test the successful implementation of the system. The research methodology includes system requirement analysis through primary and secondary data collection, identification and documentation of campus facility management processes, and system requirement analysis. The system design approach used is the Waterfall method, with sequential and structured development steps, incorporating several techniques: (1) use case diagrams and scenarios, (2) Sequence diagrams, (3) Activity diagrams. The results of this research include an integrated system design, including database design, intuitive user interface, and features such as facility registration, reservation, and availability monitoring. The system also allows students to submit repair requests and report facility damages. This research concludes that by implementing a facility management application system, the digital business program for students can be more efficient in managing campus facilities. This system enables real-time monitoring of facility availability, speeds up the reservation process, and improves responsiveness to repair requests.
 
 

Development and Implementation of a Unified Care Model Performance Framework in the Yishun Zone Regional Population Health System

Background / Objective: Governance and Leadership Subsystem (GLS) of health systems governs but also directs Service Delivery Subsystem (SDS) transformation. Performance management (PM) is a key GLS activity. Coherent PM frameworks improve SDS governance, health system performance and ultimately population health outcomes.
 Yishun Health (YH) is an integrated care organization within National Healthcare Group (NHG) caring for 320,000 residents in northern Singapore as the Yishun Zone Regional Population Health System (YZ). YH designed and deployed the Unified Care Model (UCM) as future-state SDS model to integrate and transform its care/services with care partners. A redesigned PM framework going beyond disease-condition services, specialty-departments, and institutions-partners was required.
 Method: Population segmentation was achieved using NHG River-of-Life segmentation model, dividing YZ residents into four Lifelong Care segments (LLC) and one Episodic Care segment (EC). Employing UCM, LLC and EC were further sub-segmented into a cascade of ever smaller populations of unique care needs to envision future SDS needs/demand-supply matching in the form of integrated microsystems of care/services delivery.
 UCM Performance Framework (UCMPF) was conceptualized by adapting IHI’s Quadruple Aim as annual outcomes for LLC microsystems and Dartmouth’s Clinical Value Compass as 90-day outcomes for EC microsystems. Ability to govern integrated microsystems was then modelled using clinical logic models, enabling curation of input, process, and output indicators into domains of standardized care strategies i.e. “Horizontal Logic”. “Vertical Logic” was then employed to aggregate relevant LLC or EC microsystem input, process, output or outcome indicators up the cascade of UCM population segments and higher order systems to envision future-state GLS, such as i) person and need/demand centric mesosystems e.g. LLC and EC or a community geographically, or ii) provider-centred mesosystems e.g. site-based disease condition-services or program, specialty-departments, institution-partners, culminating ultimately in whole health system or macrosystem performance indicators. UCMPF dual logic enabled stakeholders to visualize interdependencies in whole system PM indicators and more coherently co-create performance indicators at all levels of YZ.
 
 
 Results: Exceeding 1,300 existing care/services indicators across disease condition-services or program, specialty-departments, institution-partners were discovered and systemically visualized using UCMPF in LLC and EC Indicator Menus, revealing how current care/services indicators impacted input, process, output and outcome of LLC and EC at different levels of the SDS. Numerous leadership conversations were conducted to envision future GLS activities using UCMPF, spawning many working level discussions, which continue to be ongoing between senior clinicians and administrators to prioritize indicators for PM. Technical definitions for prioritized indicators was also initiated to support informatics systems and enterprise data warehouse dashboard redesign. 
 Discussion/Conclusion: UCMPF employs a systemic design and visualization approach to mitigate complexity in whole system PM. LLC and EC Menus reduce cognitive difficulty for stakeholders to relate their existing care/services measurement efforts with micro and mesosystem levels of the UCM and jumpstarts conversations whether existing care/services contribute or not towards YZ outcomes i.e. macrosystem. UCMPF therefore supports our ongoing care/services integration activity, and the co-creation of future GLS for YZ SDS is hypothesized to ultimately accelerate health system transformation towards better population health outcomes in YZ.

Glycerol Electrooxidation in Flow Reactors

Transitioning away from fossil-fuel-based chemical manufacturing is critical in advancing towards a carbon-neutral society. Chemical manufacturing processes that can be driven by renewable energy and use renewable feeds or waste products from other processes are of particular interest. This talk focuses on utilization of glycerol, a byproduct of biodiesel production and other processes, as a platform chemical for electro-organic synthesis of a number of value-added intermediates.Oxidation of glycerol can result in ten or more different products. Processes are needed to synthesize specific products of interest selectively. Based on market size and value, the four most promising oxidation products of glycerol are lactic acid, glycolic acid, oxalic acid, and dihydroxyacetone. Electrochemical reduction and oxidation processes can, in principle, be directed to produce different products by tuning reactor and reaction conditions such as catalyst identity, electrolyte/analyte concentration, flow/stir rates, electrolyte composition, etc. While a significant body of work has studied glycerol electrooxidation (GEOR) in electrochemical cells with the goals of unraveling mechanisms and identifying better catalysts (higher rates/selectivities), transitioning some of the most promising GEOR approaches to larger scales has received limited attention.In our work, we pursue glycerol electrooxidation in flow reactor configurations that could be scaled to industrial levels. Flow electrolysis approaches, in addition to providing a scalable chemical manufacturing platform, enhance mass transfer and kinetics while retaining the ability to tune key operational parameters that determine rates and selectivities. In this talk, we will report on two aspects: (i) Product speciation: what parameters can be used to optimize product selectivity towards key desired products (e.g., lactic acid, glycolic acid), and (ii) Feedstock composition: how to utilize raw glycerol (so-called ‘crude’ glycerol, containing varying amounts of water, NaOH, and methanol), available as a byproduct from a wide variety of plants, as the feedstock. For the former, we employ a systematic design approach that seeks to optimize the interplay between the different parameters that determine current density (conversion rate) and Faradaic efficiency (selectivity). For the latter, we explore which of the other ingredients (methanol, NaOH, water) of crude glycerol needs to be controlled or adjusted for reproducible, desired outcomes of flow glycerol electrolysis.

The Funnel of Game Design – An Adaptive Game Design Approach for Complex Systems

Background In a world of ever-increasing complexity, organizations and people have an ever-increasing need for support systems that help them understand and shape the world around them. While simulation game design derived from the very idea to propose an instrument able to address complexity, seminal approaches dealt with a different level of complexity. In a networked, digitalized world, complexity has increased, and traditional approaches towards designing games show certain shortcomings that have to be overcome. Aim This article proposes a new process of game design for complex problems and complex systems that can both be used by game designers as well as the scientific community in the field. This process is represented within a framework, based on two parts. The so-called ‘Funnel of Game Design’ based on the IDEAS approach represents the process of problem derivation, while the ‘House of Game Design’ also covers possible steps towards the final game product and process, including de-briefing and evaluation. Method Based on hands-on experiences and related work, we developed several steps of a game design process (IDEAS approach). In face-to-face interviews, we discussed the first version of the framework with experts in the field of simulation game studies. Results This process led to the framework presented in this article, which shows the steps of problem derivation as well as challenges that can occur, and proposes adaptive methods to overcome these challenges. The framework includes elements that support the definition of complex problems, and their translation into game designs. Recommendation We recommend practitioners and scientists to apply the new framework presented here in their efforts to define the underlying problem that should be addressed by an envisioned simulation game, and in translating this into a valid, engaging and meaningful game experience.

General relations for optical design parameters under diffraction limited paraxial imaging

We searched for fundamental relationships among general optical system parameters assuming diffraction limited imaging in paraxial space. We demonstrated that the total twelve optical system parameters describing the optical imaging problem are unambiguously determined with a set of four of them. This holds for a diffraction condition, where the image permitted blur is of the same size for both the spot due to defocus and the diffraction spot. Depending on the combinations of the four input parameters there can be found up to 314 different optical system design approaches to fully describe the diffraction limited imaging problem. We demonstrated eight examples of optical system design approaches using different combinations of input parameters. It can be helpful for optical designers to decide if diffraction limited imaging is feasible for the desired combination of optical imaging system parameters. With the reduction of the optical system to a thin lens approximation, the number of the optical system parameters describing the optical imaging problem decreases to eight and its unambiguous determination is possible with a set of only three of these parameters. It provides, up to 54 optical system design approaches based on different combinations of input parameters.

A simplified approach for energy system design in buildings and its application to a case study

The present study proposes an easy-to-use procedure for the preliminary design of energy systems for existing buildings based on easily available consumption data. The approach is then applied to a case study represented by the Rector’s headquarter of the University of Cagliari. With the aim of analysing a complex case, the building has been chosen among those with unknown thermal and electrical load subdivision. The feasibility study and subsequent preliminary sizing of a Combined Heat and Power (CHP) system serving the building started through seasonal comparison of electricity consumption data, which also allowed for the subdivision of the building’s electrical and thermal loads and the definition of the electrical base load. The design of the cogeneration system was conducted through the analysis of the electric and thermal demand of the building with quarter-hour resolution, compared among different seasons. The application of the model to the case study allowed for a preliminary design and techno-economic feasibility assessment of implementing a Combined Cooling, Heating and Power (CCHP) system. Besides highlighting the valuable insights that can be obtained through observation and analysis of energy power curves, this paper presents energy indicators that can be utilized to populate benchmarks’ databases for comparable buildings.

Lipid-Centric Design of Plasma Membrane-Mimicking Nanocarriers for Targeted Chemotherapeutic Delivery.

The plasma membranes (PM) of mammalian cells contain diverse lipids, proteins, and carbohydrates that are important for systemic recognition and communication in health and disease. Cell membrane coating technology that imparts unique properties of natural plasma membranes to the surface of encapsulated nanoparticles is thus becoming a powerful platform for drug delivery, immunomodulation, and vaccination. However, current coating methods fail to take full advantage of the natural systems because they disrupt the complex and functionally essential features of PMs, most notably the chemical diversity and compositional differences of lipids in two leaflets of the PM. Herein, a new lipid coating approach is reported in which the lipid composition is optimized through a combination of biomimetic and systematic variation approaches for the custom design of nanocarrier systems for precision drug delivery. Nanocarriers coated with the optimized lipids offer unique advantages in terms of bioavailability and efficiency in tumor targeting, tumor penetration, cellular uptake, and drug release. This pilot study provides new insight into the rational design and optimization of nanocarriers for cancer chemotherapeutic drugs and lays the foundation for further customization of cell membrane-mimicking nanocarriers through systematic incorporation of other components.

Development and validation of a machine learning model integrated with the clinical workflow for early detection of sepsis

BackgroundSepsis is a life-threatening condition caused by a dysregulated response to infection, affecting millions of people worldwide. Early diagnosis and treatment are critical for managing sepsis and reducing morbidity and mortality rates.Materials and methodsA systematic design approach was employed to build a model that predicts sepsis, incorporating clinical feedback to identify relevant data elements. XGBoost was utilized for prediction, and interpretability was achieved through the application of Shapley values. The model was successfully deployed within a widely used Electronic Medical Record (EMR) system.ResultsThe developed model demonstrated robust performance pre-operations, with a sensitivity of 92%, specificity of 93%, and a false positive rate of 7%. Following deployment, the model maintained comparable performance, with a sensitivity of 91% and specificity of 94%. Notably, the post-deployment false positive rate of 6% represents a substantial reduction compared to the currently deployed commercial model in the same health system, which exhibits a false positive rate of 30%.DiscussionThese findings underscore the effectiveness and potential value of the developed model in improving timely sepsis detection and reducing unnecessary alerts in clinical practice. Further investigations should focus on its long-term generalizability and impact on patient outcomes.

Data fabric and digital twins: An integrated approach for data fusion design and evaluation of pervasive systems

Recent technological improvements have made it possible for pervasive computing intelligent environments, augmented by sensors and actuators, to offer services that support society's aims for a wide variety of applications. This requires the fusion of data gathered from multiple sensors to convert them into information to obtain valuable knowledge. Poor implementation of data fusion hinders the appropriate actions from being taken and offering the appropriate support to users and environment needs, particularly relevant in the healthcare domain. Data fusion poses challenges that are mainly related to the quality of the data or data sources, the definition of a data fusion process and evaluating the data fusion carried out. There is also a lack of holistic engineering frameworks to address these challenges. These frameworks should be able to support automated methods of extracting knowledge from information, selecting algorithms and techniques, assessing information and evaluating information fusion systems in an automatic and standardized manner. This work proposes a holistic framework to improve data fusion in pervasive systems, addressing the issues identified by means of two processes: the first of which guides the design of the system architecture and focuses on data management. It is based on a previous proposal that integrated aspects of Data Fabric and Digital Twins to solve data management and data contextualization and representation issues, respectively. The extension of the previous proposal presented here was mainly defined by integrating aspects and techniques from different well-known multi-sensor data fusion models. The previous proposal identified high-level data processing activities and was intended to facilitate their traceability to components in the system architecture. However, the previously defined stages are not completely adequate in a data fusion process and the data processing tasks to be performed in each stage are not described in detail, especially in the data fusion stages. The second process of the framework deals with evaluating data fusion systems and is based on international standards to ensure the quality of the data fusion tasks performed by such systems. This process also offers guidelines for designing the architecture of an evaluation subsystem to automatically perform data fusion evaluation in runtime as part of the system. To illustrate the proposal, a system for preventing the spread of COVID-19 in nursing homes is described that was developed using the proposed guidelines It is also illustrated by a description of how the data fusion tasks it supports are evaluated by the proposed evaluation process. The overall evaluation of the data fusion performed by this system was considered satisfactory, which indicates that the proposal facilitates the design and development of data fusion systems and helps to achieve the necessary quality requirements.

Experience ecosystems and healthcare design

When thinking about experience design, our attention often goes to individual categories of people, such as customers, patients, users, employees, and the like. However, people do not exist outside of systems. Therefore, when considering designs, we need to consider the entire experience ecosystem and how elements of those system intersect and align. We examine this principle through the lens of medical records and EHR systems. By approaching design through a systems perspective, we can create better solutions that fit the broader needs of system stakeholders. We conclude with recommendations for how to better execute a systems design approach to foster better integrative experiences.

Energy harvesting potential assessment and systematic design for energy-regenerative shock absorbers on railway freight wagons

A large amount of vibration energy is dissipated in the secondary suspension systems of railway freight wagons, which can be harvested as renewable power supplies to serve more smart devices for onboard applications. This paper explores the vibration energy harvesting potential of freight wagons and deals with the systematic design issues of energy-regenerative shock absorbers (ERSAs). By considering the ERSA force interaction and realistic track irregularity, a vehicle-track coupled model is established to predict a more accurate vibration response. The parameter sensibility analysis reveals that the operation speed, vehicle load, and track irregularity are the most critical factors that can significantly affect the power generation performance. In addition, vibration energy harvesting potential assessment is conducted on American, German, and Chinese track spectrums and several field-measured freight lines, indicating an average power potential ranging from 33 to 960 W per absorber with a full-loaded freight wagon running at 90 km/h. Finally, a systematic design approach for ERSAs is proposed based on the prior feasibility assessment, a hybrid Grey Wolf Optimization and Particle Swarm Optimization (GWO-PSO) algorithm, and the vehicle-ERSA coupled model. The digital twin of an ERSA has been established and validated by a series of experimental tests. Taking the average power as the objective and setting the suspension vibration velocity, maximum generator rotation velocity, and maximum ERSA force as constraints, the optimized ERSA exhibits an output power of 63 W and 20.22% shock absorption on the secondary suspension. Meanwhile, the GWO-PSO has demonstrated an enhanced exploration ability than the conventional GWO in dealing with the constrained optimization problem of the ERSA design.

A Generalized Residue Number System Design Approach for Ultralow-Power Arithmetic Circuits Based on Deterministic Bit-Streams

The peak power consumption has become an important concern in the hardware design process of some of today’s applications, such as Energy Harvesting (EH) and Bio-Implantable (BI) electronic devices. The limited peak harvested power in EH devices and heating concerns in BI devices are the main reasons for power control’s importance in these devices. This paper proposes a generalized design approach for ultra-low-power arithmetic circuits. The proposed circuits are based on Residue Number System (RNS) combined with deterministic bit-streams. The resulting circuits can be used in systems with a restricted power budget. We suggest several approaches to design generic hardware-efficient adders, multipliers, multiply-accumulate units (MAC), forward converters (FC), and reverse converters (RC). Using the proposed approach, designing these components for any moduli of the RNS can be performed through simple bit-width adjustments in the circuits. The synthesis results show that the proposed adder achieves, on average, 69% and 2% lower area compared to the bit-serial and a state-of-the-art RNS adder, respectively. Furthermore, the proposed multiplier outperforms the bit-serial, interleaved, and a state-of-the-art design for multiplying RNS numbers by, on average, 57%, 60%, and 77% in terms of power consumption, respectively. The efficiency of our approach is shown via two essential applications, digital signal processing and machine learning. We implement an FFT engine using the proposed method. Compared to prior RNS implementations, our design achieves 47% lower power consumption. We also implement a CNN accelerator’s Processing Element (PE) with the proposed computation elements. Our design provides considerable speedup and lower power consumption compared to a state-of-the-art ultra-lower-power design.

Systematic Design of a Pseudodifferential VCO Using Monomial Fitting

Digital integrated electronics benefits from its higher abstraction level, allowing optimisation methods and automated workflows. However, analogue integrated circuit design is still predominantly done manually, leading to lengthy design cycles. This paper proposes a new systematic design approach for the sizing of analogue integrated circuits to address this issue. The method utilises a surrogate optimisation technique that approximates a simple monomial function based on few simulation results. These monomials are convex and can be optimised using a simple linear optimisation routine, resulting in a single global optimal solution. We show that monomial functions, in many cases, have an analytic relation to integrated circuits, making them well suited for the application. The method is demonstrated by designing a 14 MHz pseudodifferential voltage-controlled oscillator (VCO) with minimised current consumption and is manufactured in a 180 nm process. The measured total current matches the predicted and is lower than that for other similar state-of-the-art VCOs.

Redesign of Taman Lansia Bandung as a Therapeutic Garden

Elderly group needs to be paid attention to while redesigning an inclusive city by improving their quality of life to achieve successful aging. The existence of elderlyfriendly urban spaces is imperative in promoting mental health and well-being in the scarcity of open spaces in dense urban environments. These spaces can help them to actively maintain health, physical and cognitive functions, and involve with the social environment. Taman Lansia Bandung is one of the thematic parks whose initial purpose was to become an elderly-oriented open space. However, Taman Lansia Bandung felt to be less and less accommodating to the elderly’s comfort and ironically provides more attractions for younger visitors to the park. This paper attempts to propose a new design for Taman Lansia with a systematic design approach. A site analysis was conducted to examine the spatial issues such as natural, man-made, physical, and perceptual attributes to develop the contextual design idea. A set of design principles and criteria are generated from a systematic literature review of case studies, related research, and technical standards on accessible design for the elderly and disabled. The result of site analysis and design principles are then formulated into a design vision of the park. A 3D-model was created to simulate the design idea and then compare it with the existing conditions with the photo-match technique. The result is a therapeutic garden that improves the elderly’s psychological comfort with a more ergonomic design, closeness to nature, and a multisensory impulse experience.
 Keywords: elderly park, therapeutic garden, green open space design, urban landscape, urban spaces

Coordinated design of multi-stakeholder community energy systems and shared energy storage under uncertain supply and demand: A game theoretical approach

Shared energy storage plays an important role in achieving sustainable development of renewable-based community energy systems. In practice, the independent or disordered planning of community energy systems and shared storage systems can lead to suboptimal design without considering the complex interactions between neighboring energy systems. Therefore, a coordinated design approach for community energy systems and shared energy storage is proposed, and a pricing mechanism for storage sharing based on bounded rationality theory is developed. A Stackelberg game is introduced to enable consideration of storage sharing among energy systems at the design phase. The uncertainties of solar irradiation, wind speed, and electrical demand on both the supply and demand sides are also considered. Then, an uncertainty model is formed to optimize the system configurations, operation strategies, and storage sharing strategies of each stakeholder, simultaneously. Furthermore, the influence of the profit margin, storage investment cost, and carbon tax on the storage rental price and system design strategies are discussed. Illustrative examples highlight the feasibility and applicability of the shared storage pricing mechanism and coordinated design approach. This paper provides references for the government with respect to the problem of coordinated design for multi-stakeholder distributed energy systems and storages in a market-oriented environment.

Systemic Design Strategies for Shaping the Future of Automated Shuttle Buses

Automated shuttle buses entail adopting new technologies and modifying users’ practices, cultural and symbolic meanings, policies, and markets. This results in a paradigmatic transition for a typical sociotechnical system: the transport system. However, the focus of the extant literature often lacks an overall vision, addressing a single technology, supply chain, or societal dimension. Although systemic design can manage multiple-level and long-term transitions, the literature does not discuss how systemic design tools can support implementation. This paper takes the four strategies proposed by Pereno and Barbero in 2020 as the theoretical framework to fill this literature gap, discussing the specific systemic design methods applicable to the design of automated shuttle bus systems. A six-week workshop to facilitate the exploration of future autonomous public transportation is taken as a case study. The systemic design approach was applied to enrich the Human–Machine Interaction (HMI) and functional architecture of automated shuttle buses.