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 |