Avoiding Walls: What Distance Do Pedestrians Keep from Walls and Obstacles?

Bosina, Ernst; Meeder, Mark; Büchel, Beda; Weidmann, Ulrich

doi:10.1007/978-3-319-33482-0_3

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…The private space is first introduced to generate F-Space [ 43 ]. The closer the user is to the obstacle, the more uncomfortable they feel when walking because they need to pay more attention to avoid injury [ 10 , 43 , 44 ]. Thus, for a user, there is a buffer space (i.e., private space) around the user’s O-Space to keep a certain separation distance from the wall, other users, or obstacles, as shown in Figure 3 .…”

Section: Methodsmentioning

confidence: 99%

Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users’ Dimensions

Zhen

Yang

Kwan

et al. 2020

Sensors

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Most existing indoor navigation methods implicitly treat indoor users as ideal points. However, the ignorance of individual 3D indoor space needs may result in that navigation users do not have enough space or comfortable space to move in a real situation. Therefore, this paper proposes a novel human-oriented navigation approach that considers users’ dimensions and interactions with indoor objects to establish comfortable navigable space. First, object space (O-Space) for users is derived according to their types (i.e., non-disabled people or disabled people) and functional space (F-Space) for indoor objects is determined according to their functions, locations, sizes, and interactions. Then, narrow gaps where users cannot pass through easily are calculated based on indoor obstacles defined by O-Space, the use of F-Space, and stationary objects. Finally, comfortable navigable space is established by excluding inappropriate sealed spaces that wrap indoor obstacles and narrow gaps of the entire indoor space. Two indoor navigation cases were conducted and the results demonstrate that our method could provide comfortable space and user-friendly paths that navigation users can navigate easily without stress. Furthermore, our method also shows great potential for improving user experience during navigation, especially in unfamiliar indoor environments and even emergencies.

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Section: Methodsmentioning

confidence: 99%

Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users’ Dimensions

Zhen

Yang

Kwan

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…It is also not a good idea to directly employ the corners as dummy nodes because users prefer to keep a distance from them during the navigation. Therefore, we put forward two principles for computing dummy nodes: (1) they shall keep a certain distance to the corners (Bosina et al, 2016); and (2) they shall take into account the two directions of the corners.…”

Section: Dummy Nodes and Extend Navigation Networkmentioning

confidence: 99%

Navigation network derivation for QR code‐based indoor pedestrian path planning

Yan

Lee

Zlatanova

et al. 2022

Transactions in GIS

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With the development of cities, the indoor structures of contemporary public or commercial buildings are becoming increasingly complex. Accordingly, the need for indoor navigation has arisen. Among the indoor positioning technologies, quick response (QR) code, a low‐cost, easily deployable, flexible, and efficient approach, has been used for indoor positioning and navigation purposes. A navigation network (model) is a precondition for pedestrian navigation path planning. However, no thorough research has been completed to investigate the relationship between navigation networks and locations of QR codes, which may cause ambiguities when deciding the closest node from the network that should be used for path computation. Specifically, QR codes are generally placed according to preferences or certain specifications whereas current agreed navigation network derivation approaches do not consider that. This article presents a navigation network derivation approach to address the issue by integrating QR code locations as nodes in navigation networks. The present approach is demonstrated in a shopping mall case. The results show that the approach can overcome the above‐mentioned issue for indoor pedestrian path planning based on the QR code localization.

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“…When considering the activity of waiting, several factors have been identified that contribute to the selection of preferred waiting locations by passengers, and hence, the distribution of passengers across the waiting area is not uniform. According to Bosina et al, the distribution of passengers changes with an increase in passengers on the platform (11). When some areas of the platform are congested, passengers might select places that have less crowding.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on Waiting Passenger Distribution on a Bus Rapid Transit Station Platform in Brisbane, Australia

Jayatilake

Bunker

2021

Transportation Research Record: Journal of the Transportation R

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The operation of a bus rapid transit (BRT) station platform is a key factor that affects BRT system performance. As waiting passengers occupy more platform space than circulating passengers, evaluation of their distribution across the platform is important. Public transport systems have been affected by the global pandemic Coronavirus disease 2019 (COVID-19). This may have affected the waiting passenger distribution on BRT platform space. Therefore, this study aimed to identify the impact of COVID-19 on waiting passenger distribution on a platform during the peak period at an important station on the BRT system in Brisbane, Australia. Manual data collection was carried out before COVID-19 and during COVID-19. Waiting passenger counts in each case were evaluated separately to identify variation across the platform. The total waiting passenger count on the platform at a given time reduced significantly during COVID-19. To compare the two cases, data sets were normalized, and statistical analysis performed. The test results indicated that the distribution of waiting passengers during COVID-19 has significantly changed, bringing more waiting passengers into the platform center than the two ends, whereas before COVID-19, more waiting passengers were observed at the upstream half of the platform. There was also greater temporal variation across the whole platform during COVID-19. These findings were used to postulate the reasons behind the changes resulting from COVID-19, which affected platform operation.

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Avoiding Walls: What Distance Do Pedestrians Keep from Walls and Obstacles?

Cited by 7 publications

References 3 publications

Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users’ Dimensions

Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users’ Dimensions

Navigation network derivation for QR code‐based indoor pedestrian path planning

Impact of COVID-19 on Waiting Passenger Distribution on a Bus Rapid Transit Station Platform in Brisbane, Australia

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