If automated vehicles are to be introduced on public roads, they need to be able to communicate appropriately with other road users. This can be done using various interfaces and by communicating various messages. Previous research has mainly investigated design of such communication for automated passenger cars. It is, however, currently largely unknown how corresponding communi- cation should be designed for heavy automated vehicles. Scania and RISE are collaborating in a research project on what signals need to be displayed for heavy automated vehicles when they get introduced to public roads. This thesis focuses on design of an external human-machine interface (eHMI) that conveys that a truck is operated in automated driving mode. It explored various types of message contents (abstract lights, text, symbols) as well as the effect of placement of eHMI (grille, under windshield, above windshield) and distance on understanding of the message. The emphasis was on the communi- cation to pedestrians in a crossing scenario. The thesis work was split into three design iterations according to the ”De- sign Thinking” methodology. The first iteration investigated the most preferred content types. The second investigated the effect that the screen placement on the truck had on the comprehensibility of the sign with regards to distance. The third and last iteration meant creating physical prototypes of low fidelity corresponding to the concepts from the second iteration, installing them on a truck and then evaluating them on a test track. The final evaluation was of an exploitative character and involved experts in the field of HMI design. The results showed that it was hard to interpret signals based on colors and abstract lights only. Symbols were also hard to interpret and should only be used when there is a standard for symbols for automated vehicles. Using text, on the other hand, made the message more clear and was easier to understand independently of the distance. As for the placement of the eHMI, the results show that there are preferences to using the middle and upper part of the truck.

Que ce soit dans une rue commerçante, un supermarché ou un aéroport, les phénomènes de foule sont incontournables et nous affecte au quotidien. Elle constitue un système complexe dont la dynamique collective, résultant des interactions individuelles, est difficile à appréhender et a toujours intrigué les scientifiques de différents domaines. Grâce au progrès technologique, il est aujourd'hui possible de modéliser les mouvements de foule et de les reproduire en simulation. Les simulations de mouvement de foule permettent aux chercheurs de plusieurs disciplines, comme les sciences sociales ou la biomécanique, de mieux étudier et comprendre les mouvements des piétons et leurs interactions. Quant aux sciences de la sécurité et du transport, ils y voient des applications concrètes comme le développement de modèles de foule capables de simuler l'évacuation d'un lieu public de moyenne ou de forte affluence, afin que les futures constructions ou aménagements publics puissent offrir une qualité de sécurité et de service optimale pour les usagers. Dans le cadre de cette thèse, nous avons travaillé sur le perfectionnement du modèle discret proposé et développé par l'équipe dynamique du laboratoire Navier. Dans ce modèle, les actions et les décisions de chaque piéton sont traitées individuellement. Trois aspects du modèle ont été traités dans cette thèse. Le premier concerne la navigation des piétons vers leurs destinations. Dans notre modèle, un piéton est représenté par une particule ayant une direction et une allure souhaitées. Cette direction est obtenue par la résolution d'une équation eikonale. La solution de cette équation permet d'obtenir un champ de vitesses qui attribue à chaque piéton, en fonction de sa position, une direction vers sa destination. La résolution de l'équation une fois ou à une période quelconque donne la stratégie du chemin le plus court ou le plus rapide respectivement. Les effets des deux stratégies sur la dynamique collective de la foule sont comparés. Le deuxième consiste à gérer le comportement des piétons. Après avoir choisi son chemin, un piéton doit interagir avec l'environnement (obstacles, topologie, ...) et les autres piétons. Nous avons réussi à intégrer trois types de comportement dans notre modèle: (i) la poussée en utilisant une approche originale, basée sur la théorie des collisions des corps rigides dans un cadre thermodynamique rigoureux, (ii) le passage agressif (forcer son chemin) modélisé par une force sociale répulsive et (iii) l'évitement ``normal'' en adoptant une approche cognitive basée sur deux heuristiques. Les performances des trois méthodes ont été comparées pour plusieurs critères. Le dernier aspect concerne la validation et la vérification du modèle. Nous avons réalisé une étude de sensibilité et validé le modèle qualitativement et quantitativement. À l'aide d'un plan d'expérience numérique nous avons réussi à identifier les paramètres d'entrée ayant les effets principaux sur les résultats du modèle. De plus, nous avons trouvé les différentes interactions entre ces paramètres. En ce qui concerne la validation qualitative, nous avons réussi à reproduire plusieurs phénomènes d'auto-organisation. Enfin, nous avons testé la capacité de notre modèle à reproduire des résultats expérimentaux issus de la littérature. Nous avons choisi le cas du goulot d'étranglement. Les résultats du modèle et ceux de l'expérience ont été comparés. Ce modèle de foule a également été appliqué à l'acheminement des piétons dans la gare de Noisy-Champs. L'objectif de cette application est d'estimer le temps de stationnement des trains dans la gare / Crowds are present almost everywhere and affect several aspects of our lives. They are considered to be on of the most complex systems whose dynamics, resulting from individual interactions and giving rise to fascinating phenomena, is very difficult to understand and have always intrigued experts from various domains. The technological advancement, especially in computer performance, has allowed to model and simulate pedestrian movement. Research from different disciplines, such as social sciences and bio-mechanics, who are interested in studying crowd movement and pedestrian interactions were able to better examine and understand the dynamics of the crowd. Professionals from architects and transport planners to fire engineers and security advisors are also interested in crowd models that would help them to optimize the design and operation of a facility. In this thesis, we have worked on the imporvement of a discrete crowd model developed by the researchers from the dynamics group in Navier laboratory. In this model, the actions and decisions taken by each individual are treated. In its previous version, the model was used to simulate urgent evacuations. Three main aspects of the model were addressed in this thesis. The first one concerns pedestrian navigation towards a final destination. In our model, a pedestrian is represented by a disk having a willingness to head to a certain destination with a desired direction and a desired speed. A desired direction is attributed to each pedestrian, depending on his position from the exit, from a floor field that is obtained by solving the eikonal equation. Solving this equation a single time at the beginning of the simulation or several times at during the simulation allows us to obtain the shortest path or the fastest path strategy respectively. The influence of the two strategies on the collective dynamics of the crowds is compared. The second one consists of managing pedestrian-pedestrian interactions. After having chosen his/her direction according to one of the available strategies, a pedestrian is bound to interact with other pedestrians present on the chosen path. We have integrated three pedestrian behaviors in our model: (i) pushing by using an original approach based on the theory of rigid body collisions in a rigorous thermodynamics context, (ii) forcing one's way by introducing a social repulsive force and (iii) "normal" avoidance by using a cognitive approach based on two heuristics. The three methods are compared for different criteria. The last aspect is the validation and verification of the model. We have performed a sensibility study and validated the model qualitatively and quantitatively. Using a numerical experimental plan, we identified the input parameters that are the most statistically significant and estimated the effects of their interactions. Concerning qualitative validation, we showed that our model is able to reproduce several self-organization phenomena such as lane formation. Finally, our model was validated quantitatively for the case of a bottleneck. The experimental results are very close to the ones obtained from simulations. The model was also applied to pedestrian movement in the Noisy-Champs train station. The objective of the study was to estimate the train dwell time. The simulation results were similar to the observations

The European New Car Assessment Programme (Euro NCAP) performs several different tests to evaluate vehicles and rate their safety. Some of these tests are subsystem tests made to mimic different body parts of a pedestrian in an interaction with a vehicle. However, some criticism to the test method for the upper leg has been presented, stating that there is a discrepancy between this test method and a real-life interaction. Therefore, a modified test method for the upper leg has been proposed. The aim of this thesis was to evaluate the upper leg test method used today by Euro NCAP, and compare it with the proposed modified test method as well as to computer simulations with a Human Body Model (HBM). The evaluation was performed by comparing different parameters obtained in the two test methods. These have also been compared to computer simulations using a HBM in interaction with a passenger vehicle model. Prior to the evaluation of the test methods, the HBM was positioned into different stances to mimic postures in the human walking cycle. The vehicle model was positioned at four different heights, and three different impact points along the bonnet were used. The results showed that the different methods had their own advantages for some parameters. However, no general conclusion of which method showed the closest correlation to the HBM reference simulations could be determined. / European New Car Assessment Programme (Euro NCAP) utför flera olika tester för att utvärdera fordon och betygsätta deras säkerhet. Några av dessa tester sker med delsystem skapade för att efterlikna olika kroppsdelar hos en fotgängare i en kollision med ett fordon. Viss kritik har dock riktats mot testmetoden för lårben och höft, då studier visat att det finns en skillnad mellan testmetoden och en verklig kollision. En modifierad testmetod för lårbenet och höften har därför föreslagits. Syftet med detta examensarbete har varit att utvärdera testmetoden för lårben och höft, som idag används av Euro NCAP, och jämföra den med den föreslagna modifierade testmetoden men även datorsimuleringar med en humanmodell. Utvärderingen har genomförts genom att jämföra olika parametrar som erhållits från de två testmetoderna. Dessa parametrar har även jämförts med datorsimuleringar av fotgängarkollisioner med en humanmodell och en bilmodell. Humanmodellen positionerades i olika kroppsställningar innan utvärderingen av testmetoderna genomfördes. Detta för att efterlikna verkliga positioner i en mänsklig gångcykel. Bilmodellen positionerades vid fyra olika höjder och tre träffpunkter längs motorhuven användes. Resultaten visade att båda metoderna hade fördelar gentemot varandra för vissa parametrar. Ingen generell slutsats kunde dock dras om vilken metod som visade närmast korrelation till referenssimuleringarna med humanmodellen.