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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| IA | 2023-11-22 16:25 |
Aomori | Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Improving the accuracy of flow prediction and anomaly detection in GAMPAL, a general-purpose anomaly detection mechanism for Internet traffic Taku Wakui (Keio Univ./Hitachi), Fumio Teraoka (Keio Univ.), Takao Kondo (Hokkaido Univ./Keio Univ.) IA2023-41 |
The authors propose a general-purpose anomaly detection mechanism using Prefix Aggregate without Labeled data (GAMPAL) f... [more] | IA2023-41 pp.33-40 |
| ICM, NS, CQ, NV (Joint) |
2023-11-21 09:55 |
Ehime | Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
Cooperative Platoon Control for Traffic Congestion Reduction using Inter-Vehicle Communication Masaya Ando, Masami Yoshida, Taku Noguchi (Ritsumeikan Univ.) CQ2023-41 |
In recent years, traffic congestion has become a problem due to the increased vehicles. Traffic congestion is one of the... [more] | CQ2023-41 pp.20-25 |
| IA | 2023-09-21 14:40 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] | IA2023-13 pp.11-18 |
| AI | 2023-09-12 14:35 |
Hokkaido | Mixed Traffic Simulation of Personal Mobility Vehicles and Pedestrians Using Social Force Model Naoki Akiyama, Hideki Fujii, Shinobu Yoshimura (The Univ. of Tokyo) AI2023-2 |
In recent years, personal mobility vehicles, such as Segway and electric scooter, have attracted attention as a new mean... [more] | AI2023-2 pp.7-10 |
|
| NS | 2023-04-13 13:40 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-3 |
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] | NS2023-3 pp.13-18 |
| NS | 2023-04-13 14:15 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
A Study on Optimal Teacher Signal for Path Planning Method using Machine Learning Makoto Ito, Tatsuki Shizukuishi, Taiju Mikoshi (Nihon Univ.) NS2023-4 |
The proposed method define the machine learning model and teacher signal so that the entire path from source to destinat... [more] | NS2023-4 pp.19-24 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:30 |
Hokkaido | Hokkaido Univ. | A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more] | |
| ICTSSL, CAS | 2023-01-26 15:00 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
Intelligent Traffic Signal Control of a Fukui-Ishibashi Cellular Automaton Traffic Flow Model in order for Reduction of Traffic Jams Takuya Akiyama, Tatsuya Kai (Tokyo Univ. of Science) CAS2022-73 ICTSSL2022-37 |
In this study, A Fukui-Ishibashi cellular automaton traffic flow model is constructed and a new traffic signal control m... [more] | CAS2022-73 ICTSSL2022-37 pp.62-66 |
| IN, CCS (Joint) |
2022-08-05 09:40 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Machine Learning-Based Network Traffic Prediction with Tunable Parameters Kaito Kuriyama, Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-20 |
Network evaluation has become increasingly important in recent years. Network evaluation requires large amounts of traf... [more] |
IN2022-20 pp.27-32 |
| 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 |
| CCS, NLP | 2022-06-09 17:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10 |
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] | NLP2022-10 CCS2022-10 pp.46-51 |
| 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 |
| CAS, CS | 2022-03-04 10:05 |
Online | Online | Intelligent Signal Control Based on Deep Learning for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) CAS2021-88 CS2021-90 |
This study develops a new signal control method based on deep learning for an ultradiscrete traffic flow model. Especial... [more] | CAS2021-88 CS2021-90 pp.75-80 |
| SAT, SANE (Joint) |
2022-02-24 09:40 |
Online | Online | Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System Masaki Takahashi, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-53 |
Recently, the movement to link satellite communication systems with 5G networks has been accelerated worldwide, which wi... [more] | SAT2021-53 pp.1-6 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 16:45 |
Online | Online | About the first floor of the Mode-separated-multi-layered type roundabout
-- Shared space for bicycles and pedestrians -- Zhao Kangbo, Hasegawa Takaaki (Saitama Univ.) ITS2021-37 IE2021-46 |
This paper focuses on the bicycles’ passing ways in the mode-separated-multi-layered roundabout proposed by the authors.... [more] | ITS2021-37 IE2021-46 pp.73-77 |
| SANE | 2022-01-18 11:30 |
Tokyo | ENRI (Primary: On-site, Secondary: Online) |
Improvements of Trajectory Estimation for Commercial Aircraft by using Gaussian Process Regression
-- Modeling Calibrated Airspeed of Descending Aircraft in Terminal Airspace -- Daichi Toratani (MPAT, ENRI) SANE2021-86 |
Trajectory prediction technique for commercial aircraft is an important element of air traffic control. Since the trajec... [more] | SANE2021-86 pp.19-24 |
| SS, MSS | 2022-01-12 11:35 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques Kenji Uehara, Kunihiko Hiraishi (JAIST) MSS2021-51 SS2021-38 |
With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly a... [more] | MSS2021-51 SS2021-38 pp.112-117 |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A study on congestion control scheme in wireless network for IoT systems Yuto Mogi, Nobuhiko Itoh, Kenko Ota, Takefumi Hiraguri (NIT), Miki Yamamoto (Kansai Univ.), Hideaki Yoshino (NIT) |
With the spread and development of the Internet of Things (IoT), congestion due to overload of IoT systems is expected t... [more] | |
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