日本語
Ritsumeikan-Global Innovation Research Organization

 (Male)
 AKIHITO   NAGAHAMA  Assistant Professor

■Graduate school/University/other
03/2011  Kyoto University  Faculty of Engineering  Undergraduate School of Electrical and Electronic Engineering  Graduated
03/2013  Kyoto University  Graduate School of Engineering  Department of Electrical Engineering  Master's course  Completed
03/2018  The University of Tokyo  Graduate School of Engineering  Department of Advanced Interdisciplinary Studies  Doctoral course second term (Doctoral)  Completed
■Academic degrees
Master of Engineering (03/2013 Kyoto University)   Ph.D. (03/2018 The University of Tokyo)  
■Career history
04/01/2013-04/30/2015  Continental Automotive Japan
Interior Body & Security System and Test Engineer
■Subject of research
Merging support for drivers avoiding disturbance of traffic flow
Analysis of vehicle order in two-dimensional mixed traffic
Driving characteristics of various types of vehicles in mixed traffic
■Research summary
Development of driver support systems based on observations of drivers and vehicle platoons in two-dimensional mixed traffic

 Traffic jams are increasingly becoming a serious problem in worldwide owing to the growth of the economies and populations in various countries. Although
widespread usage of motor vehicles enhances economic activity, and improves convenience and quality of life, many problems, such as air pollution, fuel depletion, and economic losses, arise from traffic jams.
In this study, I focus on two-dimensional mixed traffic, which can be observed in some developing counties. In two-dimensional mixed traffic, various types of vehicles, e.g., buses, trucks, normal passenger-cars, motorcycles, motorized three-wheelers, bicycles, etc., travel with poor lane discipline.
We aim to
・develop low-cost methods to reduce traffic congestion for developing countries not only relying on road widening,
・evaluate effects of autonomous vehicles upon two-dimensional mixed traffic and
・develop autonomous driving algorithm and driver support systems which are acceptable to other drivers in traffic
through
・modeling of drivers’ recognition of other vehicles and responding behaviors and
・investigation of traffic stability of vehicle platoons as a result of these drivers behaviors
in two-dimensional mixed traffic.
■Research keywords
Traffic flow, Mixed traffic, Traffic jam, Driving characteristics, Automated driving, Driver support system 
■Research activities   (Even top three results are displayed. In View details, all results for public presentation are displayed.)

Papers
Assistance Method for Merging based on a Probability Regression Model  Akihito Nagahama, Yuki Suehiro, Takahiro Wada, Kohei Sonoda  IEEE Transactions on Intelligent Transportation Systems  2020  10.1109/TITS.2020.2977691
Car-following characteristics of various vehicle types in respective driving phases  Akihito Nagahama, Daichi Yanagisawa, Katsuhiro Nishinari  Transportmetrica B: Transport Dynamics  8/ 1, 22-48  2020  10.1080/21680566.2019.1710002
Impact of next-nearest leading vehicles on followers' driving behaviours and traffic stability in mixed traffic  Akihito Nagahama, Daichi Yanagisawa, Katsuhiro Nishinari  Journal of Traffic and Transportation Engineering (English Edition)  2019  10.1016/j.jtte.2019.01.007
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Research presentations
新興国交通で見られる特徴的な車列順の抽出  第425回生存圏シンポジウム, 生存圏ミッションシンポジウム  03/2020
Microscopic analysis of chaotic vehicular traffic with various types of vehicles  第254回定例オープンセミナー  01/30/2020
NUMERICAL STABILITY ANALYSIS OF TRAFFIC WITH WEAK LANE
DISCIPLINE USING MICROSCOPIC MODEL WITH VARIED RESPONSE TIME  第60回土木計画学研究発表会・秋大会  12/02/2019
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Grants-in-Aid for Scientific Research (KAKENHI)
Link to Grants-in-Aid for Scientific Research -KAKENHI-

Academic awards
IEEE SMC  Franklin V. Taylor Memorial Award - Finalist  10/2019
IEEE MTT-S Kansai Chapter  IEEE MTT-S Kansai Chapter Best Young Presentation Award  06/2011
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■Teaching experience   (Even top three results are displayed. In View details, all results for public presentation are displayed.)

Courses taught
2019  実世界情報実験3  Laboratory work / Practical experience / Skills practice
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■URL
 ResearchGate Profile
■E-mail
■Research keywords(on a multiple-choice system)
Cognitive science
Human interface and interaction
Intelligent robotics
Social systems engineering/Safety system
Civil engineering project/Traffic engineering