Abstract
Abstract. Augmented Reality (AR) in a traffic context has mainly been used in navigation with path augmentation, focused around safely guiding the user with prior knowledge of the route and the destination. Other works are reported to warn drivers by visualizing other traffic participants or dangers, which are yet currently out of sight. However they do not cover aspects of mediating control by recommending users with actions, even when such efforts are expected to foster collaboration in a multiagent environment. To the best of our knowledge, AR has not yet been applied to visualize virtual control information, e.g. virtual lanes or signposts, notably in the context of shared spaces. Such an environment should support spatial understanding of proximate participants with adaptive augmented controls to recommend actions to each user. However when such systems work in context where a conflict of interest would arise, a rule based control logic centered on priority should be accounted for. Traditionally, these rules are defined by traffic management. This paper presents a Behaviour Control with AR (BCAR) Systems based framework for control of user behaviour in a shared space via augmentation and proposes how a control logic can be part of it. The framework which incorporates navigation focuses on mapping users from real to the virtual world .This framework also enables simulations and visualization of multiagent interactions and proposing controls for user actions leveraging the environment complexity reduction achieved through the real to virtual transfer. A prototype implementation of the proposed framework with ARCore and unity3D has been evaluated for pedestrian behaviour control to understand its feasibility.
Highlights
Information about pedestrian movement in cities is relevant for urban planners or government officials and retailers, advertising agents and those who are involved in management of urban space
The optimal behaviour for a given situation can be derived by plausibility considerations
The pedestrian normally does not think about these optimal behaviours, but have automatically learned them by trial and error to use the most successful behavioral strategy, when being confronted with standard situations
Summary
Information about pedestrian movement in cities is relevant for urban planners or government officials and retailers, advertising agents and those who are involved in management of urban space. Even though shared spaces have appeared in multiple configurations, the primary focus has been to keep the driving speeds significantly low Such design changes with speed limits are more reliable to be useful in countries where the share of pedestrians and cyclist are comparable to other vehicle users. There are the legal aspects in terms of changes to existing pedestrian traffic rules and laws to facilitate this in a convenient and safe manner Another concern is on the interaction between cyclists and pedestrians within the shared space. The goal of the research described in this paper is to investigate the potential of AR to realize a virtual infrastructure by superimposing virtual graphics onto current existing environment in real time In this way, it could be used to realize adaptive virtual control signals for the traffic participants to have right of way in high vehicular traffic flow. In the paper the components of the framework are described and a prototype of the framework is realized, based on available software tools like ARCore and Unity3D
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