A framework for pedestrian comfort navigation using multi-modal environmental sensors

Dang, Congwei; Iwai, Masayuki; Tobe, Yoshito; Umeda, Kazunori; Sezaki, Kaoru

doi:10.1016/j.pmcj.2013.01.002

Cited by 11 publications

(6 citation statements)

References 32 publications

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“…Some current research studies have focused on implementing pedestrian navigation applications in GIS. Examples include building a GIS for use in real time for blind travelers (38), developing route recommendations that assist pedestrian wayfinding (39), introducing a framework for pedestrian comfort navigation using multi-modal environmental sensors (40), developing an image-based indoor navigation system called iNavigation (41), enriching topographic road databases (42) and 3D route-planning approaches (43) for routing and navigation, and introducing infrastructure-free indoor navigation (44). Because commercial GIS platforms cannot provide built-in data models for pedestrian navigation, several studies have also focused on modeling pedestrian navigation data in GIS.…”

Section: Perspective Of Gismentioning

confidence: 99%

“…In the aspect of comfort, visual saliency (21) has attracted much attention to assess comfort from the perspective of cognition. There are many factors that influence pedestrian comfort, such as "weather, security, appeal, traffic, pavement conditions" (85), noise, air pollution, and layout of the walkway (40,86,87). These factors are mainly derived from the environment.…”

Section: Mental Satisfaction Layermentioning

confidence: 99%

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What about people in pedestrian navigation?

Fang

Shaw

2015

Geo-spatial Information Science

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Pedestrian navigation has become an important theoretical and practical research topic in many disciplines such as cartography, geographical information science, global and indoor positioning, spatial behavior, psychology, sociology, and neuroscience. Many research studies view pedestrian navigation using process-oriented and goal-directed approaches. However, this paper revisits people's needs in pedestrian navigation and classifies their needs as three layers: physical sense layer, physiological safety layer, and mental satisfaction layer according to Maslow's theory. This paper introduces a people-centric framework for pedestrian navigation theory based on these three layers and discusses theoretical challenges for meeting each layer of people's needs. These challenging theories may represent promising and valuable research and promote usage of pedestrian navigation systems or devices in the future.

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Section: Perspective Of Gismentioning

confidence: 99%

Section: Mental Satisfaction Layermentioning

confidence: 99%

What about people in pedestrian navigation?

Fang

Shaw

2015

Geo-spatial Information Science

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“…The NaviComf framework for pedestrian routing proposed by Dang et al (2013) improves comfort by considering environmental factors which vary over time. Their framework uses a multi-factor cost model for the evaluation of the route and enables the consideration of heterogeneous environmental information from multi-modal sensors.…”

Section: Health-optimal Pedestrian Routingmentioning

confidence: 99%

“…Their framework uses a multi-factor cost model for the evaluation of the route and enables the consideration of heterogeneous environmental information from multi-modal sensors. To find an optimal route, Dang et al (2013) propose three different algorithms -a bounded depth-first search algorithm, an adjustable dynamic planning algorithm, and a heuristic particle planning algorithm. As a sample application, Dang et al implemented a routing application for thermal comfort navigation.…”

Section: Health-optimal Pedestrian Routingmentioning

confidence: 99%

Reducing Individual Heat Stress through Path Planning

Rußig¹,

Bruns²

2017

giforum

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Heat stress is a serious risk, which affects groups such as the elderly or patients with chronic diseases in particular, and is especially pronounced in cities. The ageing of society, progressive urbanization and climate change are increasing the risk of people being affected by heat stress. One way to reduce the risk is to adapt everyday behaviour. To encourage and support such a change of behaviour, we propose a two-step approach. The first step is a route planner for pedestrians which can find a route with minimal heat exposure. The second step is a tool that helps the user to select the time of day with minimal heat exposure to venture outside. The route planner is then used to calculate the heat stress and present the optimal route at that point in time. We evaluate our approach for the city of Karlsruhe. Our results show that the combined approach, as well as its individual steps, can reduce heat exposure and therefore the heat stress for typical daily tasks in a European city.

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“…The demand for indoor navigation produced by the combination of Geographic Information System (GIS) and Building Information Model (BIM) has surged for user-friendly downstream applications. As users have higher needs for a comfortable and reliable navigation experience, establishing comfortable navigable spaces in people-oriented indoor navigation is an increasingly important research topic [ 2 ], which needs to consider not only the external environment (e.g., weather, noise) [ 3 , 4 , 5 , 6 ] but also the diversity of navigation user types. Although diversity (e.g., blindness, disability, obesity) has been studied a lot, user dimensions, specifically referring to the physical characteristics of users, have not been given the necessary attention so far in indoor environments [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

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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A framework for pedestrian comfort navigation using multi-modal environmental sensors

Cited by 11 publications

References 32 publications

What about people in pedestrian navigation?

What about people in pedestrian navigation?

Reducing Individual Heat Stress through Path Planning

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

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