Points Of Conflict Research Articles

Assessment of Integrated Care Pathways for dementia in Italy according to the National Guidance

Abstract Background Italy counts 1 million people with dementia and 3 million caregivers. An integrated management system provides comprehensive care for people with non-communicable diseases, including dementia, through integrated care pathways (ICPs). Our study identified available dementia ICPs and assessed their compliance with the National Guidance on ICPs for People with Dementia (NGICPD). The project is carried out with the technical and financial support of the Ministry of Health (Chapter 2302). Methods We located ICPs by browsing all the websites of regions and Local Health Authorities (LHAs), contacting by email all LHAs, collecting ICPs from a survey carried out by the Dementia Observatory of the Italian National Institute of Health, and communicating with regional contacts. We included the ICPs produced after the NGICPD by the end of 2023. We applied a checklist developed on NGICPD consisting of 3 domains: Reference framework (0-15), Elements of the ICP (0-14), Construction of the ICP (0-14). ICPs were assessed by two researchers; a third solved the conflict points. The concordance was expressed by the intra-class correlation coefficient. Results We analysed 39 ICPs (11 regional, 28 LHAs) out of 87 collected. 15/21 regions and 30/110 LHAs developed an ICP. The observed mean total score was 23.5±7.9 for the regional ICPs and 23.1±5 for the LHAs ICPs. We observed low compliance with NGICPD, particularly in domain 3. The development of a health information system was included in 5/11 of regional and 12/28 of ICPs of LHAs; a monitoring system was present in 8/11 of regional and 25/28 LHAs ICPs. Concordance analysis showed an excellent correlation for regional ICPs and good for LHAs ICPs. Conclusions Our analysis highlighted low compliance of ICPs with the NGICPD and critical issues in monitoring. Our analysis stresses the need for all regions and LHAs to develop or update ICPs in line with NGICPD and the Italian Guidance on diagnosis and treatment of dementia. Key messages • Developing a pathway of efficient and coordinated care is essential to guarantee the quality of care for people with dementia and their families. All regions and LHAs must develop or update ICPs. • Monitoring ICP with indicators is crucial to planning cost-effective healthcare services.

Predicting pedestrian-vehicle interaction severity at unsignalized intersections

Objectives This study aims to develop and validate a novel deep-learning model that predicts the severity of pedestrian-vehicle interactions at unsignalized intersections, distinctively integrating Transformer-based models with Multilayer Perceptrons (MLP). This approach leverages advanced feature analysis capabilities, offering a more direct and interpretable method than traditional models. Methods High-resolution optical cameras recorded detailed pedestrian and vehicle movements at study sites, with data processed to extract trajectories and convert them into real-world coordinates via precise georeferencing. Trained observers categorized interactions into safe passage, critical event, and conflict based on movement patterns, speeds, and accelerations. Fleiss Kappa statistic measured inter-rater agreement to ensure evaluator consistency. This study introduces a novel deep-learning model combining Transformer-based time series data capabilities with the classification strengths of a Multilayer Perceptron (MLP). Unlike traditional models, this approach focuses on feature analysis for greater interpretability. The model, trained on dynamic input variables from trajectory data, employs attention mechanisms to evaluate the significance of each input variable, offering deeper insights into factors influencing interaction severity. Results The model demonstrated high performance across different severity categories: safe interactions achieved a precision of 0.78, recall of 0.91, and F1-score of 0.84. In more severe categories like critical events and conflicts, precision and recall were even higher. Overall accuracy stood at 0.87, with both macro and weighted averages for precision, recall, and F1-score also at 0.87. The variable importance analysis, using attention scores from the proposed transformer model, identified ‘Vehicle Speed’ as the most significant input variable positively influencing severity. Conversely, ‘Approaching Angle’ and ‘Vehicle Distance from Conflict Point’ negatively impacted severity. Other significant factors included ‘Type of Vehicle’, ‘Pedestrian Speed’, and ‘Pedestrian Yaw Rate’, highlighting the complex interplay of behavioral and environmental factors in pedestrian-vehicle interactions. Conclusions This study introduces a deep-learning model that effectively predicts the severity of pedestrian-vehicle interactions at crosswalks, utilizing a Transformer-MLP hybrid architecture with high precision and recall across severity categories. Key factors influencing severity were identified, paving the way for further enhancements in real-time analysis and broader safety assessments in urban settings.

Roundabout Safety Benefits, Design Considerations and Safety Evaluation Techniques

Roundabouts are increasingly replacing conventional signalized intersections due to their potential to enhance traffic safety and operational efficiency. This paper examines and reviews the safety benefits, design considerations, and evaluation methods for roundabouts. Studies consistently show significant reductions in crashes at roundabouts relative to other at-grade intersection control systems, particularly severe injury crashes, with reductions ranging from 37% to 88%. Roundabouts reduce conflict points, lower vehicle speeds, and improve safety for both motorized and vulnerable road users. The methodology for this paper involved a comprehensive review of literature on roundabout design and safety evaluation techniques. Data from global studies were analyzed to identify key design elements such as geometric layout, signage, and pedestrian provisions, which contribute to roundabout safety. Various safety evaluation methods, including crash data analysis, traffic conflict techniques, and surrogate safety measures, were also assessed for their effectiveness in evaluating roundabout performance. Findings indicate that proper geometric design, clear signage, and the use of innovative features like right-turn bypass lanes and roundabout metering systems can enhance safety and traffic flow. Based on these findings, the paper recommends integrating these design elements, prioritizing the safety of vulnerable users, and utilizing advanced safety evaluation techniques, including simulation modelling and intelligent transportation systems (ITS) to further optimize roundabout performance.

Effects of ambient temperature on drivers’ speed-selective behavior at different risk levels: A driving simulation study

Abnormal or inappropriate ambient conditions can lead to reduced driving performance or even crashes, and the ambient temperature could be the most critical and fundamental factor. However, the coupling effects of the ambient temperature and the road and traffic conditions on basic speed-selection behavior are rarely investigated. To this end, this study attempted to evaluate drivers’ speed-selective behavior at low-medium-high risk levels under the low (16 °C ± 2 °C), medium (26 °C ± 2 °C), and high (36 °C ± 2 °C) ambient temperature ranges. To achieve this, a series of driving simulation experiments were conducted with 45 participants. Results showed that, at the low-risk level, the limitations of low-temperature or high-temperature conditions resulted in higher average speed than the medium-temperature condition. At the medium-risk level, the driver’s dynamic speed adjustment behavior was degraded under low-temperature or high-temperature conditions, and the deceleration rate was higher than the medium-temperature condition. At the high-risk level, drivers failed to diminish their speed in a timely way under low-temperature or high-temperature conditions, increasing the risk of crashes. However, decreasing the speed at the point of conflict could be effective in reducing the severity of the collision. The findings of this study can be applied to autonomous vehicles (AVs) to search for better safety countermeasures.

Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model

AbstractContinuous‐flow intersections (CFI), also known as displaced left‐turn (DLT) intersections, aim to improve the efficiency and safety of traffic junctions. A CFI introduces additional cross‐over intersections upstream of the main intersection to split the left‐turn flow from the through movement before it arrives at the main intersection which decreases the number of conflict points between left‐turn and through movements. This study develops and examine a two‐step optimization model for CFI traffic signal control design and demonstrates its performance across more than 300 different travel demand scenarios. The proposed model is compared against a state‐of‐practice CFI signal control model as a benchmark. Microsimulation results suggest that the proposed model reduces average delay by 17% and average queue length by 32% for a full CFI compared with the benchmark signal control model.

Full Life Cycle Research Based on the Contradiction of Engineering General Objective

In the management of the entire life cycle of an engineering project, the contradiction of the overall engineering objectives is a complex and important issue. The study of the engineering life cycle based on the contradiction of overall engineering objectives aims to comprehensively analyze each stage of the project life cycle, identify the points of conflict among various objectives, and propose corresponding solutions to optimize the overall engineering objectives. This research on the engineering life cycle based on the contradiction of overall engineering objectives is a complex and significant topic. Through in-depth research and practice, it can promote the continuous improvement and development of engineering life cycle management, providing strong support for the successful implementation of engineering projects.

Psychotherapeutic research and practice: Do we need to talk about ‘efficacy’?

ABSTRACT In this article, we address how standardisation in psychotherapeutic research and practice can create a ‘procrustean bed’ which leads to conformity rather than an ethical response to what emerges in the moment. Articulated, three points of conflict in which we discuss how the therapist or researcher may be rendered ‘ineffective’ in the name of ‘efficacy’. We explore some of the implications for idiosyncratic practices in psychotherapy, which are rooted in a foundation of ethics and philosophy, when the paradigm of empirically ‘evidence-based practices’ (EBP), which are rooted in measurement, takes centre stage and are overwhelmingly favoured in the industry of funded therapies. The first point of conflict is in relation to conversation itself; exploring the place of hermeneutics and interpretation within therapeutic dialogue and research. The second point explores what it means to take up a discovery-oriented stance and the implications this has for ‘evidence’; further delving into the way our demand for ‘evidence’ may be impacting how psychotherapeutic research and practice is carried out. The final point aims to explore the infrastructure and work environment of funded therapies in the United Kingdom.

ANALISIS CERITA “KITTY DAN KOMPETISI LAMPION” SEBAGAI ALTERNATIF BAHAN AJAR MEMBACA SASTRA DI SD

Literature learning is less interested by elementary school students. One of the reasons is that teaching materials are less attractive to students because they only used textbooks provided by the government. This research aims to describe the children’s story “Kitty dan Kompetisi Lampion” as an alternative literature reading teaching material in elementary school. This research used a qualitative approach with content analysis methods. Data comes from the children’s story book “Kitty dan Kompetisi Lampion” by Paula Harisson. Data was collected through documentation studies. Researchers as a human instrument. The data analysis technique uses data collection, data reduction, and drawing conclusions. The results of the research foound that the children’s story “Kitty dan Kompetisi Lampion” by Paula Harisson has both intrinsic such as theme, storyline, background or setting, characterization, messages, point of view, conflict; and extrinsic story elements consisting of the values of the story and the author’s background. Kitty’s personality structure consists of the id which is realized through the process of imagining and shown through feelings; the ego which is shown in reasoning; and the superego through action, words and advice which reflects society’s moral values. The story “Kitty dan Kompetisi Lampion” is eligibility criteria for teaching materials in terms of language, psychology, and cultural background. The linguistic dimension shows that this book is suitable for high class students. From a psychological dimension, this story book develops character values for its readers which are present in an interesting way. From the cultural background dimension, the culture shown in this book is appropriate with Indonesian culture.

Development of a Nuclear Safety and Security Integration Assessment Tool for Research Reactors and Associated Facilities.

Nuclear safety and security are essential elements of radiation protection. Integration of nuclear safety and security provides a means to identify conflict and synergy points. Research has not been performed to enable integrated practices at the facility level. A tool was developed through research to help staff and regulators assess the level of integration practiced within a research reactor. This tool aims to improve the identification of synergistic and conflict points. Eight criteria of nuclear safety and security integration were used to create the integration assessment tool: access control, transportation, emergency response, proper disposal of materials, testing and maintenance, defense in depth, training and education, and culture. The tool's final score can range from 0.0375 to 1, with a score of 1 indicating complete integration. The tool was used by research reactor staff to assess practiced integrative techniques. The testing and maintenance criterion scored the highest level of integration (0.84). Training and education and culture scored the lowest levels of integration (0.50). The areas with the highest scores identified points of actively practiced integration. In contrast, those areas with lower scores indicated a lack of integrative practices. The total integration score was 0.69. This tool determined that the facility practiced an adequate level of integration. By analyzing integration levels with this tool, a measurable standard of integrative practices can be employed to achieve improved radiation protection.

The Conflict Between Pharmaceutical Patent Right and Life Right and Its Resolution Mechanism: From the Perspective of Legal Philosophy

This paper explores the conflict between pharmaceutical patent rights and the right to life and its resolution mechanisms from the perspective of legal philosophy. It begins by discussing how the outbreak of COVID-19 has led to increased global demands for vaccines, temporary medical facilities, and public health controls, which in turn has sparked reflection on the relationship between pharmaceutical patents and the rights to life and health. The paper then analyzes several typical cases, including the Haiqing Ni counterfeit drug case, the Lu Yong case, and the Shanghai fake vaccine case, to illustrate the specific points of conflict between patent rights and the right to life. It also discusses the positive relationship between patent rights and the right to life, as well as the negative impact of the monopolistic nature of patent rights on the protection of the right to life. To resolve these conflicts, the paper proposes some existing measures, such as the application of the principle of proportionality and the compulsory licensing system, and suggests future possible measures, including the re-improvement of existing measures and the establishment of feasible new measures. In conclusion, while existing measures have alleviated the conflict to some extent, there are still difficulties and limitations in their implementation, necessitating further legislative and regulatory improvements.

Exploring the effects of Connected and Autonomous Vehicles on traffic safety and operation at full-cloverleaf interchanges

The effects of Connected and Autonomous Vehicles (CAVs) on interchanges such as full-cloverleaf interchanges have not yet been examined in prior studies. This study aims to explore the impacts of CAVs on traffic operation and safety at full-cloverleaf interchanges. It also assesses the influence of various Market Penetration Rates (MPRs) of CAVs on travel time, queues lengths, and conflict points considering various weaving lengths using VISSIM. The model calibration and validation were conducted considering different measures of effectiveness (throughput, speed, and travel time). The finding showed that higher MPRs of CAVs led to consistent travel time reductions across on-ramps, off-ramps, and weaving segments. Specifically, moving from the base scenario to 100% MPRs, travel times decreased by 46%, 41%, and 32% at the three interchanges under investigation, respectively. Additionally, safety evaluations utilizing the Surrogate Safety Assessment Model demonstrated considerable declines in the numbers of vehicle conflicts with increases in MPRs, averaging reductions of 20%, 32%, and 26% at the three interchanges from the base scenario to full MPRs, respectively. Also, it was found that increasing the weaving lengths enhanced traffic operation and safety. Overall, the findings highlight the promising benefits of integrating CAVs into the transportation system at full-cloverleaf interchanges.

“Isn’t It Terrible That All These Students Are Voting?”: Student Suffrage in College Towns

Abstract The 1971 passage of the Twenty-Sixth Amendment to the US Constitution was a significant step in advancing voting rights that offered a new route for young people to participate in public life. While met with enthusiasm in many quarters, the question of where a substantial segment of the youth vote—college students—would cast their ballots was a concern even before the amendment’s ratification. After ratification, it became a serious point of conflict, with opponents to college-town voting arguing that students should be forced to vote where their parents lived. In numerous towns these arguments turned to efforts to deny or complicate registration and voting, intimidate students, or gerrymander to reduce students’ influence. At times, these efforts were explicitly aimed at Black students. This article examines these efforts to prevent students from voting in their college towns in the 1970s, demonstrating that they could serve the strategy of disenfranchising the newly franchised.

Generation of nighttime pedestrian fatal precrash scenarios at junctions in Tamil Nadu, India, using cluster correspondence analysis

Objective Modern transportation amenities and lifestyles have changed people’s behavioral patterns while using the road, specifically at nighttime. Pedestrian and driver maneuver behaviors change based on their exposure to the environment. Pedestrians are more vulnerable to fatal injuries at junctions due to increased conflict points with vehicles. Generation of precrash scenarios allows drivers and pedestrians to understand errors on the road during driver maneuvering and pedestrian walking/crossing. This study aims to generate precrash scenarios using comprehensive nighttime fatal pedestrian crashes at junctions in Tamil Nadu, India. Methods Though numerous studies were available on identifying pedestrian crash patterns, only some focused on identifying crash patterns at junctions at night. We used cluster correspondence analysis (CCA) to address this research gap to identify the patterns in nighttime pedestrian fatal crashes at junctions. Further, high-risk precrash scenarios were generated based on the positive residual means available in each cluster. This study used crash data from the Road Accident Database Management System of Tamil Nadu State in India from 2009 to 2018. Characteristics of pedestrians, drivers, vehicles, crashes, light, and roads were input to the CCA to find optimal clusters using the average silhouette width, Calinski-Harabasz measure, and objective values. Results CCA found 4 clusters with 2 dimensions as optimal clusters, with an objective value of 3.3618 and a valence criteria ratio of 80.03%. Results from the analysis distinctly clustered the pedestrian precrash behaviors: Clusters 1 and 2 on pedestrian walking behaviors and clusters 3 and 4 on crossing behaviors. Moreover, a hidden pattern was observed in cluster 4, such as transgender drivers involved in fatal pedestrian crashes at junctions at night. Conclusion The generated precrash scenarios may be used to train drivers (novice and inexperienced for nighttime driving), test scenario creation for developing advanced driver/rider assistance systems, hypothesis creation for researchers, and planning of effective strategic interventions for engineers and policymakers to change pedestrian and driver behaviors toward sustainable safety on Indian roads.

Taboos and Self-Censorship Among U.S. Psychology Professors.

We identify points of conflict and consensus regarding (a) controversial empirical claims and (b) normative preferences for how controversial scholarship-and scholars-should be treated. In 2021, we conducted qualitative interviews (n = 41) to generate a quantitative survey (N = 470) of U.S. psychology professors' beliefs and values. Professors strongly disagreed on the truth status of 10 candidate taboo conclusions: For each conclusion, some professors reported 100% certainty in its veracity and others 100% certainty in its falsehood. Professors more confident in the truth of the taboo conclusions reported more self-censorship, a pattern that could bias perceived scientific consensus regarding the inaccuracy of controversial conclusions. Almost all professors worried about social sanctions if they were to express their own empirical beliefs. Tenured professors reported as much self-censorship and as much fear of consequences as untenured professors, including fear of getting fired. Most professors opposed suppressing scholarship and punishing peers on the basis of moral concerns about research conclusions and reported contempt for peers who petition to retract papers on moral grounds. Younger, more left-leaning, and female faculty were generally more opposed to controversial scholarship. These results do not resolve empirical or normative disagreements among psychology professors, but they may provide an empirical context for their discussion.

Safety of cyclists interacting with autonomous vehicles: A combined microscopic simulation and SSAM analysis

The aim of this paper is to investigate the safety of cyclists while interacting with autonomous vehicles (AVs) in an uncontrolled T-intersection using PTV Vissim microsimulation combined with the Surrogate Safety Assessment Model (SSAM). For the microsimulation, three cycling behaviours were constructed (cautious, normal, and aggressive), and two AV behaviours (cautious and normal) were adopted. 87 h of microsimulation resulted in 230 conflicts. The type and nature of these conflicts, as well as two temporal indicators and four speed-related indicators were analysed. Nearly 96% of the conflicts were rear-end collisions, and almost 70% were conflicts where the cyclist was the first to arrive at the conflict point. Interestingly, the least involved cycling behaviour in conflicts was aggressive and the most involved was cautious. A significant relationship was found between severity clusters of temporal indicators and cycling behaviour. It is also concluded that an important future research direction would be the construction of a two-dimensional conflict diagram with severity thresholds specifically for bicycle-vehicle interactions.

A maneuver indicator and ensemble learning-based risky driver recognition approach for highway merging areas

Abstract Due to the complex traffic characteristics in highway merging areas, drivers tend to exhibit high-risk driving behaviors. To address the characteristics of driving behavior in highway merging areas, we have developed a real-time identification model for risky drivers by combining a driver risk level labeling method with load balancing-ensemble learning (LB-EL). In this paper, we explore four types of maneuver indicator indexes (MIIs)—acute direction, stomp pedal, dangerous following, and dangerous lane changing—that can describe the negative behaviors of both individual vehicles and vehicle platoons in highway merging areas. To quantize the label driver risk level, we use the interquartile range (IQR) method and Criteria Importance Though Intercriteria Correlation (CRITIC), while we evaluate the reliability of the MII using spatial analysis. Furthermore, we balance the dataset using three load balancing (LB) algorithms and create nine ensemble strategies by pairing adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and light gradient boosting machine (LGBM) with the three LB algorithms. Finally, we validate the proposed model using trajectory data extracted from UAV videos. The results indicate that the distribution laws of risky driving behaviors in the acute direction and stomp pedal show a high degree of similarity and good matching with the distribution laws of traffic conflict points in existing research. Moreover, the SMOTE-LGBM ensemble model achieves the best performance, reaching an accuracy rate of 93.4% and a recall rate of 92.1%, which demonstrates the validity of our proposed model. This model can be widely applied to recognize risky drivers in video-based surveillance systems.

OVERSIZED ROAD TRANSPORT - PARTICULARITIES, REALIZATION CONDITIONS, PROBLEMS AND DEVELOPMENT PERSPECTIVES

Transport is in continuous evolution, regardless of the activity sector. Road transport faces various obstacles, and their management is a crucial part of planning and executing bulk transport operations. One of the main obstacles is the low height of bridges or power lines along the planned route. To avoid collisions with these obstacles, detailed studies of the route are carried out, identifying potential conflict points in advance. Preventive measures such as temporarily raising power lines or temporarily changing the height of bridges can be implemented to ensure the smooth passage of oversized cargo. Ground communication routes with a curved axis represent another limiting factor in oversized transport. Solutions include planning routes to minimize the number of bends or using special trailers with directional axles. These trailers allow for easier cornering and ensure that the transport can cross terrain with difficult geographical features. The necessary authorizations also represent a major obstacle. Oversized transport often involves dimensions and weights that exceed the usual limits, which is why it is mandatory to obtain authorizations issued by competent public authorities. But this stage, by way of consequence, determines the legality and admissibility of carrying out transport operations. To manage obstacles in oversized transport, a proactive approach is essential, with detailed route analyses, the implementation of appropriate preventive measures, and compliance with applicable regulations. These solutions contribute to the efficiency and safety of oversized road transport, ensuring harmonious integration in the context of the existing infrastructure.

География оскорблений членов императорской семьи в Области войска Донского в начале XX века

Studies of political culture have a long tradition in Russian historiography. The main part of the articles is based on sources that were created in large cities. Often traditional research leaves out information about the political consciousness of the rural population. The source of insults to the royal person can give us information that concerns political images, rumors, symbols, primarily of the population that did not live in large centers. The insults to the royal authority in the Don Army Region in the period 1904-1914 were analyzed in this article. This region is interesting for its specificity both in its ethnosocial composition and in administrative and economic law. A database was created based on the cases. Using the data grouping method, social and territorial specifics were identified. A comparative analysis of the percentage of crimes against the imperial family and the total number of territory inhabitants was carried out. The main points of conflict between representatives of various social groups have been identified. The inclusion in the historical context allowed not only to focus on individual markers but also to identify links between individual socio-political characteristics.

A Study on Improvement to Increase Efficiency of U–Turn Opening on Charan Sanit Wong Road at Bang O Fire Station U–Turn

The U–Turn is a risky point where there are frequent road accidents. There are many factors leading to the problem of the U–turn such as the physical characteristics of the U–turn, location of U–turn median opening, insufficient sight distance, risk spot around the U–turn without traffic management and safety and factors caused by the driver. This paper presents the results of a study on improvement to increase efficiency of U–Turn Opening on Charan Sanit Wong Road at Bang O Fire Station U–Turn. By studying the improvement pattern of the U–turn from the past to the present and the pattern of improvement measure. Traffic microsimulation model was developed using VISSIM software and evaluated the traffic efficiency. The results were analyzed to determine the Time–To–Collision (TTC) using the SSAM program to assess traffic safety from the number of conflict points. The results showed the pattern of improvement measure with improved physical characteristics by increasing the length of the storage lane and restricted U–Turn for motorcycle measure could increase traffic efficiency. The average travel time was reduced by 1% and 10% and reduced the average delay by 12% and 31% in the directions to Rama VII and Pinklao, respectively. The safety analysis results showed the pattern of improvement measure which has a Time–To–Collision (TTC) value of 0.88 seconds and has the least number of conflicts point compared to previous improvement pattern.

Real Entrance Capacity of a Single-Lane Roundabout Owing to Congestion on the Circular Lane

In contrast to conventional methods, this study took a holistic approach to investigating roundabout capacity. Conventional methods aim to identify the capacities of each single entrance, without any consideration of mutual interactions between all the entrances and exits of the roundabout. This study investigated the interrelationships between traffic operations at the elements of a single-lane roundabout based on probabilistic considerations obtained from queueing theory. Here the spread of potential congestion on the circle plays a decisive role. As a starting point, the elements of the roundabout were defined as points of conflict. Equations for the capacity of these points were then derived. These equations were combined into an iterative procedure that took into account the potential congestion on the circle. As a result, based on a given origin–destination matrix of traffic volumes, the entry capacities of the roundabout were calculated. These were then applied to calculate estimates for delays and queue lengths in the conventional way. Application of the model for several examples—two of which are described in this paper—showed rather drastically that conventional evaluations of traffic performance at roundabouts may be misleading, with overestimated capacity and underestimated delays. This happens preferably in a range with volume/capacity values above 0.7 and under significant pedestrian traffic. The study underlines that the current assessment methods of analytical performance at roundabouts fall short.