IEICE TRANSACTIONS on Fundamentals
A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions
Summary :
In this paper, we propose a safe and comprehensive route finding algorithm for pedestrians based on lighting and landmark conditions. Safety and comprehensiveness can be predicted by the five possible indicators: (1) lighting conditions, (2) landmark visibility, (3) landmark effectiveness, (4) turning counts along a route, and (5) road widths. We first investigate impacts of these five indicators on pedestrians' perceptions on safety and comprehensiveness during route findings. After that, a route finding algorithm is proposed for pedestrians. In the algorithm, we design the score based on the indicators (1), (2), (3), and (5) above and also introduce a turning count reduction strategy for the indicator (4). Thus we find out a safe and comprehensive route through them. In particular, we design daytime score and nighttime score differently and find out an appropriate route depending on the time periods. Experimental simulation results demonstrate that the proposed algorithm obtains higher scores compared to several existing algorithms. We also demonstrate that the proposed algorithm is able to find out safe and comprehensive routes for pedestrians in real environments in accordance with questionnaire results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2439-2450
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2439
- Type of Manuscript
- PAPER
- Category
- Intelligent Transport System
Authors
Siya BAO
Waseda University
Tomoyuki NITTA
the ZENRIN DataCom Co., Ltd.
Masao YANAGISAWA
Waseda University
Nozomu TOGAWA
Waseda University
Keyword
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Siya BAO, Tomoyuki NITTA, Masao YANAGISAWA, Nozomu TOGAWA, "A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2439-2450, November 2017, doi: 10.1587/transfun.E100.A.2439.
Abstract: In this paper, we propose a safe and comprehensive route finding algorithm for pedestrians based on lighting and landmark conditions. Safety and comprehensiveness can be predicted by the five possible indicators: (1) lighting conditions, (2) landmark visibility, (3) landmark effectiveness, (4) turning counts along a route, and (5) road widths. We first investigate impacts of these five indicators on pedestrians' perceptions on safety and comprehensiveness during route findings. After that, a route finding algorithm is proposed for pedestrians. In the algorithm, we design the score based on the indicators (1), (2), (3), and (5) above and also introduce a turning count reduction strategy for the indicator (4). Thus we find out a safe and comprehensive route through them. In particular, we design daytime score and nighttime score differently and find out an appropriate route depending on the time periods. Experimental simulation results demonstrate that the proposed algorithm obtains higher scores compared to several existing algorithms. We also demonstrate that the proposed algorithm is able to find out safe and comprehensive routes for pedestrians in real environments in accordance with questionnaire results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2439/_p
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@ARTICLE{e100-a_11_2439,
author={Siya BAO, Tomoyuki NITTA, Masao YANAGISAWA, Nozomu TOGAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions},
year={2017},
volume={E100-A},
number={11},
pages={2439-2450},
abstract={In this paper, we propose a safe and comprehensive route finding algorithm for pedestrians based on lighting and landmark conditions. Safety and comprehensiveness can be predicted by the five possible indicators: (1) lighting conditions, (2) landmark visibility, (3) landmark effectiveness, (4) turning counts along a route, and (5) road widths. We first investigate impacts of these five indicators on pedestrians' perceptions on safety and comprehensiveness during route findings. After that, a route finding algorithm is proposed for pedestrians. In the algorithm, we design the score based on the indicators (1), (2), (3), and (5) above and also introduce a turning count reduction strategy for the indicator (4). Thus we find out a safe and comprehensive route through them. In particular, we design daytime score and nighttime score differently and find out an appropriate route depending on the time periods. Experimental simulation results demonstrate that the proposed algorithm obtains higher scores compared to several existing algorithms. We also demonstrate that the proposed algorithm is able to find out safe and comprehensive routes for pedestrians in real environments in accordance with questionnaire results.},
keywords={},
doi={10.1587/transfun.E100.A.2439},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - A Safe and Comprehensive Route Finding Algorithm for Pedestrians Based on Lighting and Landmark Conditions
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2439
EP - 2450
AU - Siya BAO
AU - Tomoyuki NITTA
AU - Masao YANAGISAWA
AU - Nozomu TOGAWA
PY - 2017
DO - 10.1587/transfun.E100.A.2439
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - In this paper, we propose a safe and comprehensive route finding algorithm for pedestrians based on lighting and landmark conditions. Safety and comprehensiveness can be predicted by the five possible indicators: (1) lighting conditions, (2) landmark visibility, (3) landmark effectiveness, (4) turning counts along a route, and (5) road widths. We first investigate impacts of these five indicators on pedestrians' perceptions on safety and comprehensiveness during route findings. After that, a route finding algorithm is proposed for pedestrians. In the algorithm, we design the score based on the indicators (1), (2), (3), and (5) above and also introduce a turning count reduction strategy for the indicator (4). Thus we find out a safe and comprehensive route through them. In particular, we design daytime score and nighttime score differently and find out an appropriate route depending on the time periods. Experimental simulation results demonstrate that the proposed algorithm obtains higher scores compared to several existing algorithms. We also demonstrate that the proposed algorithm is able to find out safe and comprehensive routes for pedestrians in real environments in accordance with questionnaire results.
ER -
English
