Fujiwara sensei published one article in 交通政策研究 2023

Fujiwara sensei published one article in 交通政策研究2023 (Transportation Policy Research 2023) from 日交研.

交通政策研究2023
執筆者各位

お世話になっております。

この度は交通政策研究2023をご執筆いただき、誠にありがとうございました。
日交研HP上に本日に公開しましたことをご連絡申し上げます。

https://www.nikkoken.or.jp/2023/journal.html

なお、J-STAGEへの掲載も予定しております。

今後ともよろしくお願いいたします。  日交研 事務局

TRB Conference 2024

Two papers were accepted for the 2024 103th TRB Annual Meeting (January 7-11, Washington D.C., USA).

  1. Abdullah, R., Xavier, B., Namgung, H., Varghese, V., Fujiwara, A. (2024) Managing Transit-Oriented Development: A Comparative Analysis of Expert Groups and Multi-Criteria Decision-Making Methods
  2. Son, P.V., Fujiwara, A., Chikaraishi, M., Namgung, H., Nguyen, T.A.H., Do, C., Le, S.A., Ho, N.X. (2024) Impacts of Shared Autonomous Vehicles Connecting with Mass Rapid Transit System on Transformation of Mobility: A Cyber-Physical Experiment Approach

Measuring the “sensitivity” of semi-autonomous vehicle crew members and pedestrians and analyzing interdependent behavior

Attachment 2 Information disclosure document on the homepage

Hiroshima University Traffic Engineering Laboratory Home Page

 

Research subject name: Measuring the “sensitivity” of semi-autonomous vehicle crew members and pedestrians and analyzing interdependent behavior

About self-driving bus running experiment

Hiroshima University and Chodai Co., Ltd., in cooperation with the ITS Service Advancement Organization, will run self-driving cars on public roads (expressways) in the Kinki region for five days from September 21 to September 27, 2023. We will conduct a demonstration experiment. In conjunction with this, the Hiroshima University Traffic Engineering Laboratory will measure the psychological load on autonomous vehicle drivers using electroencephalograms and other equipment. Measured data will be used only for research purposes and will not be leaked to outside parties.

In addition, this self-driving car is equipped with various sensors such as GPS and driving recorders, but the image data that can be used to identify individuals is GPS data that shows the location and time of events such as sudden deceleration or lane changes. After verification, all information will be encrypted and immediately destroyed. Personal information from nearby vehicles is never used for analysis or stored.

If you have any questions, please contact us below.

Hiroshima University Graduate School of Advanced Science and Engineering

Traffic Engineering Laboratory Representative Akimasa Fujiwara

Email: asmo@hiroshima-u.ac.jp, Phone number: 082-424-6921

Original (Japanese): https://tsg.hiroshima-u.ac.jp/kansei-eng/

 

(thumbnail designed by macrovector / http://www.freepik.com)