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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
15:00
Misc. Kikai-Shinko-Kaikan Bldg. Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries
Haruto Murakami, Kazutoshi Sakakibara, Masaki Nakamura, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Prefectural Univ.) MSS2023-79 NLP2023-131
The purpose of this study is to support police activities targeting elderly pedestrians and other vulnerable road users,... [more] MSS2023-79 NLP2023-131
pp.42-47
NLP, MSS 2024-03-14
10:00
Misc. Kikai-Shinko-Kaikan Bldg. Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM
Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] MSS2023-86 NLP2023-138
pp.71-76
AI, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS, JSAI-KBS
(Joint)
2024-03-03
18:00
Hokkaido
(Primary: On-site, Secondary: Online)
Spatial Analysis for Road Traffic Accident Features in Aichi Prefecture
Keisuke Ando, Takeshi Uchitane (AIT), Naoto Mukai (SJU), Kazunori Iwata (AU), Nobuhiro Ito (AIT) AI2023-46
Several methods have been proposed in traffic safety research to quantitatively estimate the risk of traffic accidents a... [more] AI2023-46
pp.12-17
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
15:45
Hokkaido Hokkaido Univ. On Accidents Reduction Effects in Penetration Scenarios for Autonomous Emergency Braking Systems
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2023-77 IE2023-66
This paper describes the relationship between traffic safety and penetration of Autonomous Vehicles (AVs) as well as veh... [more] ITS2023-77 IE2023-66
pp.169-176
ITS 2023-07-14
14:55
Gunma Gunma Univ. (Aramaki)
(Primary: On-site, Secondary: Online)
On the Relationship between Sensing Radius and Accident Reduction Effects of Alert-type Driver Assistance Systems
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2023-6
This paper describes the effects of drivers’ reaction delays, the sensing radius, the V2V communication radius, and the ... [more] ITS2023-6
pp.30-39
ITS, IEE-ITS 2023-03-13
16:45
Chiba Nihon Univ., Funabashi Campus
(Primary: On-site, Secondary: Online)
On the safety of the Mode-separated-multi-layered type roundabout
Daiki Takagi, Takaaki Hasegawa (Saitama Univ.) ITS2022-84
In this paper, for the evaluation of the safety of the traffic mode- separated-multilayered type roundabout, we construc... [more] ITS2022-84
pp.28-32
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:40
Hokkaido Hokkaido Univ. Simulation-based studies of traffic flow and crash related phenomena under the COVID-19 pandemic -- Including time-varying traffic demands --
Akira Kasahara, Takaaki Hasegawa (Saitama Univ.) ITS2022-73 IE2022-90
This paper compares the worldwide various traffic accident data affected in the COVID-19 pandemic period with our simula... [more] ITS2022-73 IE2022-90
pp.173-178
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:55
Hokkaido Hokkaido Univ. On Traffic Safety in Penetration Scenarios of Autonomous Vehicles and Vehicles Equipped with Alert-type Driver Assistance Systems
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2022-74 IE2022-91
In this paper, with the purpose of achieving safety mobile society, we describe traffic safety in penetration scenarios ... [more] ITS2022-74 IE2022-91
pp.179-185
ITS 2022-07-15
14:15
Fukuoka Fukuoka Univ.
(Primary: On-site, Secondary: Online)
On the Influence of Drivers' Reaction Delays on Safety Performances of Alert-type Driver Assistance Systems Based on Sensors/V2V Communications
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2022-4
This paper describes the influence of drivers’ reaction delays on safety performances of alert-type driver assistance sy... [more] ITS2022-4
pp.15-20
MSS, NLP 2022-03-28
09:40
Online Online Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data
Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127
The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based... [more] MSS2021-56 NLP2021-127
pp.7-12
AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS
(Joint)
2022-03-12
09:45
Hokkaido WSSIT2022
(Primary: On-site, Secondary: Online)
Analysis of Traffic Accident Factors Using Geospatial Data
Keisuke Ando, Yusuke Kuniyoshi, Kazuhiko Shimizu, Nobuhiro Ito (AIT), Kazunori Iwata (AU), Takeshi Uchitane (AIT), Naoto Mukai (SJU), Yong Jiang (AU) AI2021-29
Aichi Prefecture has one of the most traffic accidents in Japanese prefectures. In this study, we found the significant ... [more] AI2021-29
pp.19-24
ITS, IEE-ITS 2022-03-11
10:00
Online Online A Bicycle Mounted Warning System for Preventing Rear-End Collisions and Entrapment Accidents using OpenCV-based AI Camera
Sakiho Horibe, Masayuki Iwai (Tokyo Denki Univ.) ITS2021-64
Recently, due to the expansion of the take-out delivery business caused by the new coronavirus (COVID-19), the number of... [more] ITS2021-64
pp.7-12
ITS, IEE-ITS 2022-03-11
16:10
Online Online On Accidents Reduction Effects of Sensor/V2V Communication Based Driver Assistance Systems and Autonomous Vehicles -- Relationship between Penetration Ratio and Safety Performance --
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2021-73
This paper describes the accidents reduction effects of autonomous vehicles and alert type driver assistance system equi... [more] ITS2021-73
pp.54-59
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
17:00
Online Online On the Safety and Efficiency on the Advanced Demand Signals Ⅱ scheme hyper -- Can safety and efficiency be simultaneously achieved? --
Yuga Hirayama, Takaaki Hasegawa (Saitama Univ.) ITS2021-38 IE2021-47
This paper describes the safety and the efficiency performances both of ADS-Ⅱh(a) schemes and the fixed time control sch... [more] ITS2021-38 IE2021-47
pp.78-83
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
17:15
Online Online A simulation-based study of traffic flow and crash related phenomena under the COVID-19 pandemic -- Existence of the important peak --
Akira Kasahara, Takaaki Hasegawa, Ikkei Hasebe (Saitama Univ.) ITS2021-39 IE2021-48
This paper summarizes the data on change in traffic volume and traffic accidents due to the COVID-19 pandemic and compar... [more] ITS2021-39 IE2021-48
pp.84-90
CS 2021-10-15
10:15
Online Online A study on traffic monitoring method for control networks
Ginga Katsurai, Hiroaki Mukai, Tetsuya Yokotani (KIT) CS2021-56
In recent years, cyber attacks targeting control systems such as buildings and factories have become apparent. There is ... [more] CS2021-56
pp.20-25
PRMU, IPSJ-CVIM 2021-03-05
15:40
Online Online An approach for predicting traffic accidents at intersections with 360 degree panorama images
Daiki Tanaka, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2020-97
In this study, we used deep learning to predict traffic accidents. Traffic accidents are caused by a complex combination... [more] PRMU2020-97
pp.158-163
IBISML 2021-03-03
11:55
Online Online IBISML2020-47 Mobility Technologies is providing a next-generation AI dashboard camera service called “DRIVE CHART” to help reduce tra... [more] IBISML2020-47
p.39
NS, ICM, CQ, NV
(Joint)
2020-11-27
10:45
Online Online Relation between Location Information Error and Warning Error in Vehicle-to-Pedestrian Warning System
Takahiro Suzuki (Waseda Univ.), Kyoko Yamori (Asahi Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.), Yoshiaki Tanaka (Waseda Univ.) CQ2020-56
In order to prevent traffic accidents between pedestrians and vehicles, it will be effective to introduce a vehicle-to-p... [more] CQ2020-56
pp.50-55
SSS 2019-12-17
16:25
Tokyo   [Encouragement Talk] Analysis of Accident Occurrence Using Traffic Accident Statistics Original Form
Fumiya Fujita (Niigata Univ.) SSS2019-27
According to the Metropolitan Police Department, an average of nearly 10 people per day are killed by traffic accidents.... [more] SSS2019-27
pp.19-22
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