A safe and comprehensive route finding method for pedestrian based on lighting and landmark

Bao, Siya; Nitta, Tsuneo; Ishikawa, Kohei; Yanagisawa, Masao; Togawa, Nozomu

doi:10.1109/gcce.2016.7800525

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…Some other authors use a safety-first approach when pursuing routing solutions. Bao et al [5] present a method for pedestrians to find safer routes by investigating "the influences of landmark scarcity, visibility, lighting condition, road width and turning tolerance on perceived safety and comprehensiveness". Hirozaku et al [30] also observe the illumination in order to provide a safer route for pedestrians.…”

Section: Related Workmentioning

confidence: 99%

Towards CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety - Feasibility Study in Jyväskylä

Lahtinen

Sintonen

Turtiainen

et al. 2021

2021 28th Conference of Open Innovations Association (FRUCT)

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Section: Related Workmentioning

confidence: 99%

Towards CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety - Feasibility Study in Jyväskylä

Lahtinen

Sintonen

Turtiainen

et al. 2021

2021 28th Conference of Open Innovations Association (FRUCT)

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show abstract

“…Privacy and safety routing has been previously researched to a certain, yet limited, degree. Bao et al [30] proposed a routing solution with multiple safe pedestrian routing conditions. Hirozaku et al [31] took into account street lights for safer walking routes.…”

Section: Openstreetmap (Osm)mentioning

confidence: 99%

OSRM-CCTV: Open-source CCTV-aware routing and navigation system for privacy, anonymity and safety (Preprint)

Sintonen,

Turtiainen,

Costin

et al. 2021

Preprint

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For the last several decades, the increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks. Additional recent features of many CCTV cameras, such as Internet of Things (IoT) connectivity and Artificial Intelligence (AI)-based facial recognition, only increase concerns among privacy advocates. Therefore, on par CCTVaware solutions must exist that provide privacy, safety, and cybersecurity features. We argue that an important step forward is to develop solutions addressing privacy concerns via routing and navigation systems (e.g., OpenStreetMap, Google Maps) that provide both privacy and safety options for areas where cameras are known to be present. However, at present no routing and navigation system, whether online or offline, provide corresponding CCTV-aware functionality.In this paper we introduce OSRM-CCTV -the first and only CCTV-aware routing and navigation system designed and built for privacy, anonymity and safety applications. We validate and demonstrate the effectiveness and usability of the system on a handful of synthetic and real-world examples. To help validate our work as well as to further encourage the development and wide adoption of the system, we release OSRM-CCTV as opensource.

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“…Attractiveness is usually evaluated by the accessibility to POIs [19] or the landscape diversity [20] while risk can be assessed by social environment represented by metrics such as accidents, crimes and population density [21,22], or physical environment such as solar radiation and infrastructure preparedness [23]. Generally, the contextual information could be collected from official statistical data [24], location-based social networking (LBSN) platforms [21], or web map services [25].…”

Section: Context-aware Lbs Applicationmentioning

confidence: 99%

Context-aware Heatstroke Relief Station Placement and Route Optimization for Large Outdoor Events

Xia

Jatowt

et al. 2021

Preprint

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Heatstroke is becoming an increasingly serious threat to outdoor activities, especially, at the time of large events organized during summer, including Olympic Games or various types of happenings in amusement parks like Disneyland or other popular venues. The risk of heatstroke is naturally affected by a high temperature, but it is also dependent on various other contextual factors such as the presence of shaded areas along traveling routes or the distribution of relief stations. This study proposes a framework to evaluate the heatstroke risk in geographical areas by utilizing context-aware indicators which are determined by large and heterogeneous data including facilities, road networks and street view images. Based on the evaluation metric of the total heatstroke risk in the target area, we propose a Mixed Integer Nonlinear Programming model for optimizing routes of pedestrians, determining the location of relief stations and the supply volume in each relief station. Our experiments conducted on the planned site of the Tokyo Olympics and simulated during the two weeks of the Olympics schedule indicate that planning routes and setting relief stations with our proposed optimization model could effectively reduce heatstroke risk, thus letting organizers better prepare for the event.

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A safe and comprehensive route finding method for pedestrian based on lighting and landmark

Cited by 13 publications

References 5 publications

Towards CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety - Feasibility Study in Jyväskylä

Towards CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety - Feasibility Study in Jyväskylä

OSRM-CCTV: Open-source CCTV-aware routing and navigation system for privacy, anonymity and safety (Preprint)

Context-aware Heatstroke Relief Station Placement and Route Optimization for Large Outdoor Events

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