Autonomously monitoring and analyzing the behavior of the crowd is an open research topic in the transportation field because of its criticality to the safety of people. Real-time identification, tracking, and prediction of crowd behavior are primordial to ensure smooth crowd management operations and the welfare of the public in many public areas, such as public transport stations and streets. This being said, enabling such systems is not a straightforward procedure. First, the complexity brought by the interaction and fusion from individual to group needs to be assessed and analyzed. Second, the classification of these actions might be useful in identifying danger and avoiding any undesirable consequences. The adoption of the Internet-of-things (IoT) in such systems has made it possible to gather a large amount of data. However, it raises diverse compatibility and trustworthiness challenges, among others, hindering the use of conventional service discovery and network navigability processes for enabling crowd management systems. In fact, as the IoT network is known for its highly dynamic topology and frequently changing characteristics (e.g., the devices' status, such as availability, battery capacity, and memory usage), traditional methods fail to learn and understand the evolving behavior of the network so as to enable real-time and context-aware service discovery to assign and select relevant IoT devices for monitoring and managing the crowd. In large-scale IoT networks, crowd management systems usually collect large data streams of images from different heterogeneous sources (e.g., CCTVs, IoT devices, or people with their smartphones) in an inadvertent way. Due to the limitations and challenges related to communication bandwidth, storage, and processing capabilities, it is unwise to transfer unselectively all the collected images since some of these images either contain duplicate information, are inaccurate, or might be falsely submitted by end-users; hence, a filtering and quality check mechanism must be put in place. As images can only provide limited information about the crowd by capturing only a snapshot of the scene at a specific point in time with limited context, an extension to deal with videos to enable efficient analysis such as crowd tracking and identification is essential for the success of crowd management systems. In this thesis, we propose to design a smart image enhancement and quality control system for resource pooling and allocation in the Internet-of-Things applied to crowd management systems. We first rely on the Social IoT (SIoT) concept, which defines the relationships among the connected objects, to extract accurate information about the network and enable trustworthy and context-aware service exchange and resource allocation. We investigate the service discovery process in SIoT networks and essentially focus on graph-based techniques while overviewing their utilization in SIoT and discussing their advantages. We also propose an alternative to these scalable methods by introducing a low-complexity context-aware Graph Neural Network (GNN) approach to enable rapid and dynamic service discovery in a large-scale heterogeneous IoT network to enable efficient crowd management systems. Secondly, we propose to design a smart image selection procedure using an asymmetric multi-modal neural network autoencoder to select a subset of photos with high utility coverage for multiple incoming streams in the IoT network. The proposed architecture enables the selection of high-context data from an evolving picture stream and ensures relevance while discarding images that are irrelevant or falsely submitted by smartphones, for example. The approach uses the photo's metadata, such as geolocation and timestamps, along with the pictures' semantics to decide which photos can be submitted and which ones must be discarded. To extend our framework beyond just images and deal with real-time videos, we propose a transformer-based crowd management monitoring framework called V3Trans-Crowd that captures information from video data and extracts meaningful output to categorize the crowd's behavior. The proposed 3D Video Transformer is inspired from Video Swin-Transformer/VIVIT and provides an improved hierarchical transformer for multi-modal tasks with spatial and temporal fusion layers. Our simulations show that due to its ability to embed the devices' features and relations, the GNN is capable of providing more concise clusters compared to traditional techniques, allowing for better IoT network learning and understanding. Moreover, we show that the GNN approach speeds up the service lookup search space and outperforms the traditional graph-based techniques to select suitable IoT devices for reporting and monitoring. Simulation results for three different multi-modal autoencoder architectures indicate that a hierarchical asymmetric autoencoder approach can yield better results, outperforming the mixed asymmetric autoencoder and a concatenated input autoencoder, while leveraging user-side rendering to reduce bandwidth consumption and computational overhead. Also, performance evaluation for the proposed V3Trans-Crowd model has shown great results in terms of accuracy for crowd behavior classification compared to state-of-the-art methods such as C3D pre-trained, I3D pre-trained, and ResNet 3D pre-trained on the Crowd-11 and MED datasets.

The aim with this study was to investigate project managers` and security officers` perceptions of event safety in large event projects regarding audience behavior. Data was collected by semi-structured interviews with ten project managers and security officers of event projects in Sweden. Using inductive thematic analysis, three themes were defined: Preventive work, designing an experience, and different perceptions of event safety. For preventive work, three sub-themes were defined: Cooperation with other actors, artist and audience profile, and prerequisites for the right action. The results show that prevention planning is the greatest and most important part of an event. Cooperation with other actors is of great importance during the risk analysis, but also when identifying the needs of different target groups. The artist and audience profile contributes to the definition of security risks and what measures to consider. The flows of crowds can be controlled by using well-established analysis models, but prerequisites to respond to unexpected incidents are crucial. By designing the visitor's experience into something safe and positive, the risk of inappropriate behavior is reduced. Positive treatment of visitors is essential for well-functioning events. Moreover, the study points out differences in managers' motivation and level of knowledge regarding event safety. / Syftet med studien var att undersöka hur projektledare och säkerhetsansvariga i stora evenemangsprojekt förhåller sig till evenemangssäkerhet avseende publikens beteende.  Data samlades in genom tio semistrukturerade intervjuer med projektledare och säkerhetsansvariga för evenemangsprojekt i Sverige. Med induktiv tematisk analys definierades tre teman: Förebyggande arbete, att forma en upplevelse och skilda uppfattningar om evenemangssäkerhet. I temat förebyggande arbete definierades tre underteman: Samverkan med andra aktörer, artist- och publikprofil och förutsättningar för rätt agerande. Studien visade att planering med förebyggande arbete utgör den största och viktigaste delen av ett evenemang. Samverkan med andra aktörer är av stor vikt vid riskanalysen, men också vid identifiering av olika målgruppers behov. Artist- och publikprofilen bidrar till definitionen av säkerhetsrisker och vilka åtgärder som ska vidtas. Folkmassors flöden kan styras genom välgrundade analysmodeller, men förutsättningar för att kunna agera vid oväntade händelser är avgörande. Genom att forma besökarens upplevelse till något tryggt och positivt minskar risken för oönskade beteenden. Det goda värdskapet är grogrunden för välfungerande evenemang. Studien pekar också på skillnader i arrangörers motivation och kunskapsnivå avseende evenemangssäkerhet.

The Swedish police task is to ensure the legal certainty and security of the individual whilesimultaneously upholding democratic principles and ensuring all citisens’ rights and liberties.During the 2000s, in Gothenburg and Easter 2022, riots occurred when the public tried toexpress opinions but ended with violent outcomes. Even though events of this magnitudeoccurred 20 years apart, police methods became part of the public debate and investigation.Two theories emphasise trust towards the police as crucial for the police to fulfil their role inprotecting democratic values. In this paper, we address the police methods when approachingcrowds through semi-structured interviews with Swedish police officers. The findings showthat the methods can be understood through the theoretical framework where the Swedish policecreate trust through clear communication and establishing relationships with groups andindividuals. These methods can reduce and minimise conflicts between police and the public,which also benefits a democratic society.

The global increase in the number of mass gatherings and crowded events has brought with it new emergencies and unintended consequences for public administrators and first responders. Crowd managers attempt to overcome these challenges by enhancing operations, alleviating financial losses, keeping event organizers safe from liability and, most importantly, keeping the attendees safe. Effective communication among and between officials and guests has been identified as a key element in this process. However, there is a lack of risk communication studies, especially about heterogeneous crowds that congregate at religious events. With this gap in mind, this research aims to investigate the use of major communication channels available and/or preferred by Muslim pilgrims in Makkah, Saudi Arabia during Hajj to gauge their effectiveness in communicating risk information. This annual religious pilgrimage was chosen because it attracts over 2 million pilgrims from more than 140 countries, most of whom speak different languages and belong to different cultures but perform the same rituals at the same time. This dissertation seeks to answer three broad research questions: “what are the most popular communication channels used by pilgrims,” “what are the weaknesses of the current communication strategies,” and “what can be done to improve risk communication among pilgrims, and between pilgrims and authorities to enhance crowd control and crowd management strategies.” The protective action decision model (PADM) is used as the theoretical framework to understand the influence of six factors (environmental cues, social cues, information sources, channel access and preferences, warning messages, and receiver characteristics) on risk communication. In collaboration with the Transportation and Crowd Management Center of Research Excellence (TCMCORE) of Saudi Arabia, a convenience sampling strategy was employed to interview 348 pilgrims in the Prophet’s Mosque area, during the Hajj of 2013. The surveys were conducted in Arabic and English and included pilgrims from different backgrounds and countries. Data analysis included an evaluation of the correlation between the use of risk communication channels and receiver characteristics, message content, and information sources. Findings highlight low percentages in the overall use of communication channels. It also demonstrated an over-dependence on channels that foster the passive top-down communication strategy (such as TV stations, messages at mosques, billboard, text messages, and pamphlets), while marginalizing channels that foster the horizontal and bottom-up strategies (such as bilingual staff outreach and social media). The findings also show the differences in risk communication channels used by pilgrims from different socio-demographic groups. The study concludes that adopting bottom-up and horizontal strategies is key to effective risk communication. Additionally, crowd managers must recognize the importance of social media and use this medium more proactively. They can also work towards increasing the overall effectiveness of risk communication channels by addressing the impact of information sources, channel access, and receiver characteristics to better suit the needs of pilgrims. Finally, the study states the limitations and future research directions.

Overcrowding during indoor events can be risky, in-case of any kind of a hazard such as fire.This solution address this by providing real-time crowd detection solution using Force-SensingResistor (FSR) sensors, referred sensor (IR) and microcontrollers. The solution needs to offer accurate data in real-time to the event managers including number of people and entrancerate to help when and if the event areas will be overcrowded, thereby enhancing event safetyand decision-making. This thesis indicate that the system offers essential real-time data forevent safety with an accuracy of 87.25%. These data will assists event managers in makinginformed decisions to avoid the risks of overcrowding. This thesis evaluates the effectivenessof our system in comparison to other systems, discussing what we’ve learned, suggest possibleimprovements, and talk about whether our system could be useful in real-world indoor events.

Text in English / The study investigated the policing of service delivery protests in South Africa with specific reference to Free State province. Failure by local governments to provide basic services to the previously disadvantaged South Africans has led to a number of service delivery protests taking place. The manner in which these protests are managed by the police in South Africa more especially the Public Order Police who are specialists in this field, raises concerns. One would perceive that the police are losing the battle in dealing with protest action for they are criticised for their brutal tactics in quelling the violence. This brutal handling of protesters dates back to the apartheid era and not much has changed contrary to the expectations of a newly formed democratic country. This therefore led to the investigation as to why the police in South Africa fail to contain such protest actions. The South African Police Services (SAPS) as it is known in a democratic South Africa employed tactics from international countries in order to introduce more professionalism in the SAPS. Although better tactics have been introduced, this did not seem to improve the situation because not only are properties destroyed but many lives are also lost through police action. The researcher conducted his investigation in the central part of South Africa in the Free State Province concentrating in the three main areas; namely Bloemfontein, Welkom and Bethlehem where the Public Order Police units are based. The investigation resulted in the researcher arriving at the conclusion that there are a number of challenges that are experienced by the SAPS when dealing with protests and the main problem identified was that of a shortage of manpower. This problem create challenges when it came to managing the number of protests taking place and exacerbated by not allowing the police to use the tactics that they were trained in. As much as we acknowledge these challenges, there are best practices that can be learnt from international countries. The crowd psychology strategies applied by the Swedish police as well as the high tolerance level of the British police, are the good practices that can be recommended in dealing with protests in South Africa. / Police Practice / M.Tech. (Policing)

Each year people are injured and even die in crowd related accidents, often during planned events. Recent studies have emphasized the need for using a systems approach to study these events. In this study the systems approach of resilience theory is combined with the crowd psychology-models Extended Social Identity Model and the Aggravation and Mitigation Model to examine event safety at a music festival, a domain previously largely unexplored by these perspectives. By using an ethnographic approach as well as interviewing visitors the study set out to answer questions about when and how the safety organization adjusted itself under conditions relating to crowds. Another goal was to study the social identity of the visitors as well as the interaction between the safety organization and the visitors at the festival to explain the presence or absence of crowd conflict. Using thematic analysis several situations were identified where the safety organization adjusted itself, as well as the strategies that the organization used in these different circumstances. It was also concluded that the absence of crowd conflict could best be explained by three factors. First of all, no history of crowd conflict existed between the safety organization and the visitors, secondly, there were no groups present with the goal of creating conflict, and thirdly, the social processes taking place between the safety organization and the visitors were all mitigating in nature. The mitigating nature of the social processes was partly attributable to the strategies identified for adjusting to crowd conditions.

Text in English / An improved roads and public transport system also referred to in this research as road-transport, is strategic to economic growth in countries worldwide. This is why the improvements relating thereto have been prioritised by governments in developing economies such as South Africa. The problem that therefore informed the research in this study is that ever since the improvements on road-transport in South Africa, the implications thereof on the role of the Tshwane Metropolitan Police Department (TMPD) have not been studied, to understand the associated dynamics. The dynamics relate to how the road-transport improvements have swayed the role of law enforcement in the City of Tshwane. To unpack the dynamics, the study posed the question: What are the implications of the road-transport improvements on the role of the TMPD? In an attempt to answer this question, the study premised itself on exploring one primary aim, which is: to explore the implications of the road-transport improvements, on the role of the TMPD. To operationalise this aim, the study used three research objectives, which are: to describe the road-transport improvements In South Africa; to explain the role of the Tshwane Metropolitan Police Department; as well as to identify factors that hinders the effectiveness of the TMPD. The research used a qualitative approach wherein primary data was collected using interviews. The research showed that road-transport improvements in South Africa can be summarised into two categories. These are traffic improvements and improvements in public transport. The research also found that the role of the TMPD include traffic policing, by-law enforcement, crime prevention, crime Investigation and crowd management. Although the role of the TMPD is regulated properly, the study shows that this law enforcement agency was constrained by a number of challenges. The challenges include: lack of clarity in their crime prevention mandate; limited investigative powers; balancing their enforcement and crime prevention mandates; poor training in crowd management; staff shortages; resource problems; and administrative challenges. To deal with the problems thus requires strong management and leadership within the institution. / Police Practice / M. Tech. (Policing)

MA.CRM / Department of Criminal Justice / The policing response to increasing violent community violent protests in South Africa has received global attention in the last decade. The study was conducted with a backdrop of increased concern over skirmish and sporadic fighting and violence during service delivery protests. Criticisms have been voiced by various role-players in violent protests concerning arrests, injuries and killing of civilians by police during these demonstrations. Hence the study aims to evaluate the effectiveness of POP strategies in curbing common acts of violence during violent protests particularly in Vuwani area of Vhembe District, Limpopo Province. The study adopted a mixed methods (qualitative and quantitative method). Purposive sampling was used to select POP officials wherein Focus Group Discussions (FGD) were conducted in 9 difference POP units, each FGD was comprised of approximately 5 members which total to 45 POP members. A total of 200 questionnaires were randomly distributed to community members of Vuwani within 5 were found invalid. Quantitative Data was analysed using Statistical Package for Social Science (SPSS) and qualitative data was analysed using thematic analysis. The findings indicated that (86,2%) of participants believed that Vuwani protest was caused by municipal demarcation issues. The favourite methods of protests include littering with (80,0 %) and burning tyres with (76,4%) of participants. A total of (52,8%) community members argued that police presence perpetuate violence during service delivery protest. Common crimes that occurred during the protests was vandalism with (82,6%) and arson with (81,0%). Furthermore, (83,6%) community members agrees that rubber bullets was used as a strategy by the police at Vuwani protests. The overwhelming majority of participants with 80,0% believe that negotiation during protests can curb death and injuries. On the other hand, the study finds that POP official strategies start by negotiating with the protestors, identifying the leader, use of water cannon, tear gas and rubber bullets as the last resort. Further emphasized that lack of manpower and resources are barriers that hinders effective policing of violent service delivery protests. It is therefore recommended that provision of resource and recruitment of manpower should be taken as a first priority by the SAPS national office. Lastly, the public should be educated about police presence during violent service delivery protests. / NRF