A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions

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

doi:10.1587/transfun.e100.a.2439

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…the time and day a user plans to walk and the current weather forecasts, etc.) [28], [33], [34]. Finally, in real-time systems, the degree of the changeability or variability of dynamic street attributes should also be taken into account.…”

Section: Discussionmentioning

confidence: 99%

“…Instead of focusing on crime, other systems have also been proposed to recommend routes which reduce the likelihood of accidents for users on a given path. Notable examples include an approach proposed by Bao et al [33], [34] which considers qualities such as the lighting condition and the width of a road to recommend safe walking paths for users. Goel et al [11] goes a step further and combines data about the lighting conditions, past accidents and road quality from government databases with data from online news sites and crowd-sourced information about perceived safety to recommend safe routes.…”

Section: ) Safetymentioning

confidence: 99%

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

et al. 2020

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Navigation systems often aid users when traveling in unfamiliar locations. Current navigation systems tend to focus on identifying the shortest or fastest routes between two points. However, path cost expressed in terms of length and distance (i.e., the utilitarian qualities of travel) is only one attribute which could be used in route recommendation. Recent years have seen navigation systems moving beyond such utilitarian attributes. These include systems aimed at providing users with scenic, safe or attractive routes among other dimensions. In this paper, we contribute to the existing research domain by providing an overview of the different quality-aware route navigation systems that have been proposed in past research for pedestrians. In particular, we examine the different qualities which have been used as key criteria in route recommendation. As the outcome of the paper, we provide a categorization of these systems based on our proposed SWEEP taxonomy. In addition, we outline the various data sources, algorithms and evaluation approaches that have been used to implement quality-aware route navigation systems. Afterwards, we conclude by discussing potential problems encountered in previous studies and highlight promising directions for future research.

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Section: Discussionmentioning

confidence: 99%

Section: ) Safetymentioning

confidence: 99%

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

et al. 2020

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“…Focusing on the feeling of safety in pedestrian route choice, Bao et al [ 15 , 16 ] proposed a pedestrian routing algorithm that considers the street lighting condition and the sidewalk width. Each street receives a score based on these two variables and their associated weights.…”

Section: Related Workmentioning

confidence: 99%

A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data

Novack

Wang

Zipf

2018

Sensors

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In this work, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e., with less road traffic). We present how the greenness, sociability, and quietness factors are defined and extracted from OSM as well as how they are integrated into a routing cost function. We intrinsically evaluate customized routes from one-thousand trips, i.e., origin–destination pairs, and observe that these are, in general, as we intended—slightly longer but significantly more social, greener, and quieter than the respective shortest routes. Based on a survey taken by 156 individuals, we also evaluate the system’s usefulness, usability, controlability, and transparency. The majority of the survey participants agree that the system is useful and easy to use and that it gives them the feeling of being in control regarding the extraction of routes in accordance with their greenness, sociability, and quietness preferences. The survey also provides valuable insights into users requirements and wishes regarding a tool for interactively generating customized pedestrian routes.

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Future trends of path planning framework considering accident attributes for smart cities

Singh

Kumar

2023

J Supercomput

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A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions

Cited by 5 publications

References 21 publications

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

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

A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data

Future trends of path planning framework considering accident attributes for smart cities

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