Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

Siriaraya, Panote; Wang, Yuanyuan; Zhang, Yihong; Wakamiya, Shoko; Jeszenszky, Péter; Kawai, Yukiko; Jatowt, Adam

doi:10.1109/access.2020.3011924

Cited by 30 publications

(12 citation statements)

References 81 publications

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“…Recently, Siriaraya et al [26] argued that in the modern contemporary society, pedestrians prefer to set "alternative routing criteria" rather than the more common routing criteria such as duration and length. The authors refer to this as "routing based on different qualities", i.e., qualitative-aware routing.…”

Section: Openstreetmap (Osm)mentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Openstreetmap (Osm)mentioning

confidence: 99%

“…Correspondingly to our work, safety category is acknowledged by the authors as the need for avoiding areas with a high occurrence of past criminal activities. Although privacy is not mentioned nor categorized, it could be accommodated into the safety category of [26].…”

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

View full text Add to dashboard Cite

show abstract

“…Another important implementation of context-aware information in LBS applications is route recommendation and navigation. In routing applications, contextual information could be utilized to measure the quality of each road segment to improve the traditional routing application by providing users with scenic, safe or attractive routes among other dimensions [18]. Specifically, the contextual information is utilized to evaluate each road segment based on its attractiveness or risk and choose the roads which are more attractive or less dangerous for different application scenarios.…”

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

Self Cite

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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.

show abstract

“…Another important implementation of context-aware information in LBS applications is route recommendation and navigation. In routing applications, contextual information could be utilized to measure the quality of each road segment to improve the traditional routing application by providing users with scenic, safe or attractive routes among other dimensions [ 26 ]. Specifically, the contextual information is utilized to evaluate each road segment based on its attractiveness or risk and choose the roads which are more attractive or less dangerous for different application scenarios.…”

Section: Related Workmentioning

confidence: 99%

Context-aware heatstroke relief station placement and route optimization for large outdoor events

Xia

Jatowt

et al. 2021

Int J Health Geogr

Self Cite

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Background Heatstroke is becoming an increasingly serious threat to outdoor activities, especially, at the time of large events organized during summer, including the 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. The purpose of the study is to develop a method to reduce the heatstroke risk of pedestrians for large outdoor events by optimizing relief station placement, volume scheduling and route. Results 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. Besides, the results show that supply volume scheduling optimization can further reduce the risk of heatstroke. The route with the shortest length may not be the route with the least risk, relief station and physical environment need to be considered and the proposed method can balance these factors. Conclusions This study proposed a novel emergency service problem that can be applied in large outdoor event scenarios with multiple walking flows. To solve the problem, an effective method is developed and evaluates the heatstroke risk in outdoor space by utilizing context-aware indicators which are determined by large and heterogeneous data including facilities, road networks and street view images. 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. The proposed method can help organizers better prepare for the event and pedestrians participate in the event more safely.

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Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

Cited by 30 publications

References 81 publications

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

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

Context-aware heatstroke relief station placement and route optimization for large outdoor events

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