The Granville Bridge, Vancouver, Canada is an unsafe, uncomfortable and uninteresting crossing for pedestrians. Neither does it possess an identifiable or memorable image. Although the City of Vancouver has identified poor crossing conditions for pedestrians as an issue that requires addressing, the current design for the City's preferred solution - a suspended crossing attached to the side of the Granville Bridge - the current design for this structure does not address how to make the bridge an imageable element in the city landscape. Using the Black Rock Arts Festival - commonly know as Burning Man - as a case study, the potential for an interactive landscape design to create an identity for the Granville Bridge is examined. Although Burning Man fails to create a community that integrates with its contextual landscape, its use of interactive art is successful in creating community among participants. Through the contextual use of interactive art in conjunction with the proposed suspended pedestrian crossing, a design is proposed that celebrates the Granville Bridge as a conduit of motion by revealing the presence of pedestrians. The proposed design includes design components under the north and south ends of the bridge to conceptually ground the image on the north and south side of False Creek, and unifies the total design with the metaphorical and literal use of dance. The design shows that interactive art can be used to make the Granville Bridge an imageable element in the landscape, thereby making it an integral part of the Vancouver landscape. / Applied Science, Faculty of / Architecture and Landscape Architecture (SALA), School of / Graduate

Indiana University-Purdue University Indianapolis (IUPUI) / Pedestrian and vehicle interaction analysis in a naturalistic driving environment can provide useful information for designing vehicle-pedestrian crash warning/mitigation systems. Many researchers have used crash data to understand and study pedestrian behaviors and interactions between vehicles and pedestrian during crash. However, crash data may not provide detailed pedestrian-vehicle interaction information for us. In this thesis, we designed an automatic pedestrian tracking and status analysis method to process and study pedestrian and vehicle interactions. The proposed pedestrian tracking and status analysis method includes pedestrian detection, pedestrian tracking and pedestrian status analysis modules. The main contributions of this thesis are: we designed a new pedestrian tracking method by learning the pedestrian appearance and also their motion pattern. We designed a pedestrian status estimation method by using our tracking results and thus helped estimate the possibility of collision. Our preliminary experiment results using naturalistic driving data showed promising results.