The thesis ``Accident frequency and its social effects{\crqq} focuses on traffic accidents caused by trespassing the law of speed limit and on social effects induced by accident frequency. Every year approximately one thousand people die on the Czech roads, other thousands of traffic accident victims face lifelong injury consequences. Apart from direct loss of lives, health and property, the traffic accidents carry a lot of other hardly denumerable costs starting at financing trip of ambulance, continuing with health care service expenses followed by convalescence, eventually social benefits for disabled and impacts on relatives of traffic accident victims. The aim of this work is to map the situation of serious traffic accidents where participants are seriously injured, or die and to infer the most serious social effects of these traffic accidents. To gather information in order to meet the objective of this hypothesis and to prove it a quantity research has been carried out. Secondary analysis of data from the records of Police of Czech Republic and the Ministry of the Interior has been chosen as a method to help verify the correctness of presumed hypothesis. In order to map the most serious social impacts, dialogs with randomly selected traffic accident participants who suffered lifelong consequences of their injuries were performed. The primary file contains participants of traffic accidents that happened in the Czech Republic and are registered in the registry of Police of Czech Republic in the period 2003-2006 and where the participants died, were seriously or lightly injured. Our hypothesis proven, that the most serious consequences of traffic accidents happen due to exceeding the speed limits . Also the most serious social impacts of traffic accidents were mapped.

Os acidentes que envolvem o transporte de produtos perigosos ocorrem, com certa frequência, em rodovias e afetam, não apenas os seus usuários, mas também as populações lindeiras e o meio ambiente, levando contaminação e poluição, muitas vezes disseminadas por ventos e em rios, com consequências catastróficas para o meio ambiente e a saúde humana. Trata-se, portanto de um problema que requer não apenas ações de caráter corretivo por ocasião dos sinistros, mas também medidas preventivas, visando à redução dos riscos e de consequências impactantes. Este trabalho tem o objetivo tornar-se um instrumento para ações preventivas, dirigido à administração pública, como contribuição na segurança do transporte de produtos perigosos, no Litoral Norte Paulista (São Sebastião e Caraguatatuba). A abordagem metodológica deste trabalho foi a pesquisa secundária em banco de dados da CETESB, mais especificamente em instrumentos provenientes do Gerenciamento de Riscos e na metodologia de Árvore de Falhas, sendo esta metodologia parte integrante dos estudos de AIA Avaliação de Impactos Ambientais, aplicados ao transporte de produtos perigosos. O resultado da pesquisa é um plano de atendimento emergencial. / Accidents involving the transportation of dangerous goods occur infrequently, on highways and affect not only their users but also the bordering populations and the environment, causing contamination and pollution, often spread by winds and rivers, with catastrophic consequences for the environment and human health. It is therefore a problem that requires not just actions of a corrective nature on the occasion of claims, but also preventive measures aimed at reducing the risks and consequences of striking. This work aims to become an instrument for preventive actions directed to government as a contribution in the safe transport of dangerous goods, on the north coast (São Sebastião and Caraguatatuba). The methodological approach of this work was secondary research in database CETESB more specifically on instruments from the Risk Management and Fault Tree Analysis methodology, this methodology is an integral part of studies of EIA - Environmental Impact Assessment, applied to transport of dangerous goods. The search result is a plan for emergency care.

<div>Petri net (PN) is a useful tool for the modeling and analysis of complex systems and has been widely used in a variety of practical systems. This dissertation aims at studying highway transportation systems using Petri nets and investigating several fundamental problems related to the modeling, state/structure estimation, and control of highway traffic.</div><div>This dissertation starts with two kinds of modeling schemes. The first one uses the Probabilistic Petri net to model a highway segment. The traffic movement probabilities have also been shown. The second scheme uses the traditional Petri net structure to model the traffic network around a city’s metropolitan area, where places represent the destinations of interests and tokens represent time units.</div><div>After that, two estimation algorithms and one control algorithm have been proposed, respectively, based on external observations. The first algorithm deals with labeled Petri nets and the objective is to estimate the minimum initial marking that has (have) the smallest token sum. The second algorithm estimates the Petri net structures from the observations of finite token change sequences in terms of the minimum number of transitions and connections. At last, the traffic volume control algorithm is to keep the traffic volume within capacity. The controller will be applied in each evolution step depending on observation.</div><div>Since we have been focusing on the optimization problems of the structure and markings of the Petri net, it is directly related to the optimal route planning problems in highway traffic scenarios. Thus, we can obtain optimized traveling routes by applying proposed algorithms to the traffic systems.</div>

Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. This thesis considers road safety by predicting the number of casualties if an accident occurs using multiple traffic accident attributes. It helps individuals (drivers) or traffic offices to adjust and control their contributions for the occurrence of an accident before emerging it. Three candidate algorithms from different regression fit patterns are proposed and evaluated to conduct the thesis: the bagging, linear, and non-linear fitting patterns. The gradient boosting machines (GBoost) from the bagging, Linearsupport vector regression (LinearSVR) from the linear, and extreme learning machines (ELM) also from the non-linear side are the selected algorithms. RMSE and MAE performance evaluation metrics are applied to evaluate the models. The GBoost achieved a better performance than the other two with a low error rate and minimum prediction interval value for 95% prediction interval. A SHAP (SHapley Additive exPlanations) interpretation technique is applied to interpret each model at the global interpretation level using SHAP’s beeswarm plots. Finally, suggestions for future improvements are presented via the dataset and hyperparameter tuning.

The main theme of the diploma thesis is simulated accident of a truck transporting pressure barrels with chlorine.The study is focused on evaluating the effects of the accident on the lives and health of the local population and assessing the risks (and the level of hazards) with the use of selected methods.In this study, the truck accident is described in detail and the risks are evaluated through using the IAEA-TECDOC-727 method, which is based on quantitative risk assessment of sources according to the level of hazard to lives.

L'objectif de notre thèse est d'évaluer le rôle de l'alcool et autres substances psychoactives dans la survenue et la gravité des traumatismes dus aux Accidents de la Voie Publique (AVP) en Côte d'Ivoire. Nous avons initié un recueil de données sur 893 victimes tuées ou blessées suite à un AVP, et admises aux urgences ou à l'Institut de Médecine Légale d'Abidjan. Ces données hospitalières ont été couplées aux données policières et aux résultats d'analyses toxicologiques. La méthode de dosage de l'alcoolémie par CPG-FID a démontré qu'elle répond parfaitement aux critères de performances analytiques recommandés en termes de fidélité, d'exactitude, de linéarité, de stabilité et de limite de quantification. Les niveaux d'alcoolémie chez les victimes au moment de l'AVP, sont élevés et compatibles avec un profil d'alcoolisation excessive. Plus de 75% des conducteurs alcoolisés ont une alcoolémie supérieure à 1g/L. Les prévalences d'alcoolémie au-delà de 0,8g/L sont de 41% chez les conducteurs de véhicules légers 4 roues, 35% chez les 2-roues, 17% chez les piétons et 13% chez les passagers. L'usage des autres substances psychoactives est moins fréquent chez les victimes (11%) et souvent associé à une alcoolémie supérieure à 0,8g/L. L'évaluation du risque de blessures graves (NISS9+) en fonction du degré d'alcoolisation suggère que les victimes avec une alcoolémie modérée ont un risque de blessures graves plus élevé en comparaison avec les victimes sobres (OR = 7,7; IC95% : 2,5-24,2). Au terme de cette thèse, nous proposons une procédure fiable de dosage de l'alcoolémie chez les victimes d'AVP et des mesures concrètes pour la prévention des traumatismes par AVP en Côte d'Ivoire / We implemented a data collecting process including 893 victims who died or were injured following a RTA, and were admitted to the Emergency Room or to the Forensic Institute in Abidjan. This hospital-based data was linked with police data and toxicological testing. The method developed in our laboratory for blood alcohol determination using GC-FID demonstrated a good compliance with analytical performance requirements in terms of repeatability, accuracy, linearity, stability and limit of quantification. Blood alcohol levels found in victims at the time of the RTA were compatible with an excessive alcohol intake. More than 75% of drivers with a positive alcohol test had a blood alcohol concentration greater than 1g/L. Prevalence of alcohol above 0.8g/L reaches 41% in light four-wheel drivers, 35% in two-wheel riders, 17% in pedestrian and 13% in passengers. The prevalence of psychoactive drugs was lower (11%) compared to alcohol and usually associated with blood alcohol level greater than 0.8g/L. The assessment of the risk of serious injury (NISS9+) associated to the level of blood alcohol content suggest that victims showing a moderate blood alcohol level are more at risk to sustain serious injury compared to sober victims (OR = 7.7; IC95% : 2.5 – 24.2). In conclusion, we make some practical proposals to strengthen and for facilitating the application of the current law concerning driving under the influence of alcohol. We also make recommendations for prevention of road traffic injuries in the Ivory Coast