Presentation on dynamic traffic assignment @ ISTTT23 in Lausanne
Presentation on train delay analysis @ TransitData2019 in Paris
Daisuke Fukuda joined the 5th International Workshop and Symposium of TRANSITDATA2019 held in Paris. This symposium is dedicated to the research and applications on the use of massive passive data for public transport.
Fukuda presented the research work on train delay study entitled “Emperical investigation of fundamental diagram for urban rail transit using tokyo’s commuter rail data” which is co-authored with Masahiro Imaoka (lab. alumni) and Toru Seo (lab. alumni and currently at the Univ. of Tokyo) [Abstract and Presentation]. We empirically investigated the existence of “Train (Macroscopic) Fundamental Diagram” using the detailed dataset of train operation and passenger boarding/alighting in Tokyo. We confirmed that the theoretical traffic model derived in another paper fits the observed data fit well under some conditions. We would like to thank for their valuable comments from Prof. Jan-Dirk Schmoecker (Kyoto Univ.), Prof. Fumitaka Kurauchi (Gifu Univ.) and Prof. Nigel Wilson (MIT) and other participants.
A new paper on dynamic traffic modeling in Transportation Research B
A new paper on macroscopic modeling of dynamic network loading in the multiple-reservior system has been released in Transportation Research Part B (50 day’s free access to the article from here).
A macroscopic dynamic network loading model for multiple-reservoir system
Qian Ge and Daisuke Fukuda
Transportation Research Part B: Methodological
Volume 126, August 2019, Pages 502-527.
https://doi.org/10.1016/j.trb.2018.06.008
Introduction of the paper (in English):
In this paper, a new dynamic network loading model is proposed based on the concept of macroscopic fundamental diagram (MFD). The reservoir (i.e. multiple neighborhood that consist of multiple MFD reservoirs) model is built on the conservation of flow in reservoir and the boundary model is built on the supply and demand of neighboring reservoirs. The design parameters such as length and boundary of each internal path have been studied in depth.This model is tested by several numerical experiments.
Introduction of the paper (in Japanese):
論文「A macroscopic dynamic network loading model for multiple-reservoir system」(葛研究員・福田) がTransportatoin Reseach Part Bより刊行されました．この研究では，都市域全体を複数の貯水域（Reservoir）から構成されるInput-Outputシステムと見立て，各貯水域内部での交通流がMFDに従うと仮定した上で，異なる貯水域間の流動（エリア間OD交通量）を交通流理論に整合的に記述する，新たな動的ネットワークローディングモデル（MRDNLモデル）を開発しています．その上で，このモデルに合致した数値計算スキームを構築し，いくつかの数値実験を通じて，提案したマクロ近似手法が適切に地域間の交通流動を記述できていることを明らかにしています．
Seiichi Tejima International Student Research Award Presentation Ceremony (Researcher, Mr. Ge)
[February 21, 2019]
An award ceremony was held on campus for the Seiichi Tejima International Student Research Award. This award is given to international students who have achieved particularly outstanding research results while studying at the university, and Mr. Ge Qian, a researcher from our laboratory, received the award. Congratulations!
The details of the award ceremony are here.
Speech@2019 Tokyo Tech Research Showcase in Thailand (January 29th)
Prof. Fukuda gave a speech at the “2019 Tokyo Tech Research Showcase in Thailand”, which was held for the first time on January 29, 2019, at the Thailand Science Park, Pathumthani Province, Thailand. It is an event related to the Tokyo Tech Annex Bangkok, which was established in March 2018 to promote international joint research and industry-academia collaboration in Thailand. It aimed to further stimulate collaboration by actively disseminating cutting-edge research at our university.
The theme of the first part was information technology, artificial intelligence, and related fields, and Prof. Fukuda gave a presentation on his research entitled “Big Data Applications in Transportation Planning”.
For more details, please visit the following website. (Fukuda)
Research Fellow (Mr. Ge) Received the Seiichi Tejima International Student Research Award
Mr. Ge Qian, a research fellow, received the Seiichi Tejima International Student Research Award, which is given to international students who have achieved particularly outstanding research results while studying at Tokyo Institute of Technology. This is a double award following the Kikkawa-Yamaguchi Award. We would like to express our sincere congratulations to him.
Research paper (Journal of Japan Society of Civil Engineers, Ser. D3)
The following four papers from our laboratory were published in the special issue of Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). Thank you very much to the efforts.
- RAIL ROUTE CHOICE AND TRANSIT ASSIGNMENT MODELS CONSIDERING ROUTE OVERLAPPING AND IN-VEHICLE CONGESTION: CASE STUDY IN THE TOKYO METROPOLITAN AREA
- Authors: Masahiro IMAOKA, Daisuke FUKUDA
- DOI : https://doi.org/10.2208/jscejipm.74.I_847
- UNDERSTANDING TRAVEL PATTERN OF TOURISTS FROM Wi-Fi PROBE REQUESTS: A CASE STUDY IN MOTOBU PENINSULA, OKINAWA
- Authors: Wataru NAKANISHI, Hana KOBAYASHI, Takahiro TSURU, Takuro MATSUMOTO, Kenta TANAKA, Yoshiki SUGA, Daisuke KAMIYA, Daisuke FUKUDA
- DOI : https://doi.org/10.2208/jscejipm.74.I_787
- A REVIEW ON MICROECONOMETIRICS ANALYSIS ON SOCIAL INTERACTION AND ITS APPLICATION TO INFRASTRUCTURE PLANNING PROBLEMS
- Authors: Makoto CHIKARAISHI, Hajime SEYA, Daisuke FUKUDA
- DOI : https://doi.org/10.2208/jscejipm.74.I_715
- AN ANALYSIS OF TRUCKS’ ROUTE CHOICE BEHAVIOR CONSIDERING VEHICLE TYPE AND TRIP LENGTH
- Authors: Hideki OKA, Makoto CHIKARAISHI, Jun TANABE, Daisuke FUKUDA, Takashi OGUCHI
- DOI : https://doi.org/10.2208/jscejipm.74.I_657
Mr. Ge Qian received the Kikkawa-Yamaguchi Prize!
Mr. Ge Qian, a research fellow, received the Kikkawa-Yamaguchi Prize, which is given to the best doctoral thesis in the civil engineering field at Tokyo Institute of Technology. Congratulations!
The main results of his doctoral thesis, “DATA-DRIVEN AND MACROSCOPIC APPROACHES FOR ESTIMATING ORIGIN-DESTINATION TRAVEL DEMAND,” are as follows: (1) The traffic flow tables collected from conventional traffic surveys in a static framework (OD tables) were used to develop the latest OD tables. (2) Under a dynamic framework in which OD traffic varies with time, we have developed a computationally efficient dynamic OD traffic estimation method by integrating macroscopic and data-oriented approaches. As for (1), we updated static OD tables using the entropy maximization principle, and confirmed the validity of the proposed method through empirical analysis using the 2008 Tokyo Metropolitan Area Person Trip Survey and the 22012 mesh unit population statistics data. As for (2), the entire urban area was considered as an input-output system consisting of multiple reservoirs, and the flow between different reservoirs (inter-area OD traffic) was described in a manner consistent with traffic flow theory. These research results have been published in Transportation Research Part C and Part B, respectively, which are the highest ranked journals in the field of transportation engineering.
This dissertation concentrates on the problem of inferring origin-destination (OD) travel demand from multiple sources of data. This dissertation attempts to extend previous studies in using new data, building macroscopic dynamic network loading for complex multi-reservoir urban transportation network and developing novel method that incorporates perceived and observed data for estimating path flow. We present a maximum entropy based updating method to yield static OD matrices using aggregate mobile phone data. We adopt this dataset for the following reasons: low cost, easy to collect, and privacy-free. The proposed approach calculates trip flows of each OD pair using two sequential sub-models. Performance of the proposed methodology is validated through a numerical example and confirmed by case study using the data of Tokyo. However, the aggregate mobile phone data is not sufficient for dynamic OD demand estimation (DODE) problem. We build a dynamic network loading model upon the macroscopic characteristics of traffic flow depicted by Macroscopic Fundamental Diagram (MFD). The dynamic net- work loading model for multi-reservoir system (MRDNL) is specified in terms of a system of partial differential equations following the conservation law. Spatial discretization method and numerical scheme are also developed for tracking the vehicles’ behavior guided by this model. To identifying reservoirs in large network more efficiently without using the demand data, we present a community detection method that yields neighborhoods in which the links are closely related and share similar traffic characteristics. Finally, we emphasize on developing a methodology framework for estimating dynamic OD demand using traffic counts with incorporation of observed path cost.
Preparation of the JSCE conference (June 9-10, Tokyo Tech Ookayama Campus)
The 57th Annual Conference on Japan Society of Civil Engineers (JSCE) will be held on June 9-10, 2012, at Tokyo Tech Ookayama Campus. A team of faculty members and students in the fields of civil engineering and landscape and design engineering at Tokyo Tech will be in charge of organizing the conference. Everyone is encouraged to participate it!
Two new papers on para-transit in Asian cities
Two papers on para-transit in Asian cities (We newly call it “LAMAT – Locally Adopted and Modified Advancecd Transport”) have been published in Journal of EASTS (Eastern Asia Society for Transportation Studies):
- By Hong Tan VAN, Daisuke FUKUDA
- Journal of the Eastern Asia Society for Transportation Studies, Volume 12 (2017) 2284-2298, Released: April 25, 2018
- doi={https://doi.org/10.11175/easts.12.2284}
- https://www.jstage.jst.go.jp/article/easts/12/0/12_2284/_article/-char/en
- This paper discusses the determinants of the intention to shift to a new high-quality Locally Adapted, Modified, and Advanced Transport (LAMAT) bus service in Ho Chi Minh City using a stated preference (SP) survey. Mixed logit models (MXL) are used to estimate the mode choice between motorcycles (MCs) and LAMAT in the SP choices. The use of a panel-MXL is shown to significantly improve the estimation results compared with the standard multinomial logit model. Accordingly, heterogeneity in the LAMAT choice is largely explained by citizens’ unobserved characteristics, whereas their preference for time and money might be homogenous. Additionally, four mode-specific factors, i.e., provision of information, air conditioning, seat availability (LAMAT), and the risk of traffic accidents (MCs) are found to be significant determinants of the intention to use the LAMAT bus service.
- By Daisuke FUKUDA, Hana KOBAYASHI, Wataru NAKANISHI, Yoshiki SUGA, Kerkritt SRIROONGVIKRAI, Kasem CHOOCHARUKUL
- Journal of the Eastern Asia Society for Transportation Studies, Volume 12 (2017) 2151-2169, Released: April 25, 2018
- DOI https://doi.org/10.11175/easts.12.2151
- https://www.jstage.jst.go.jp/article/easts/12/0/12_2151/_article/-char/en
- The objective of this study is to investigate the applicability of Wi-Fi monitoring technology to the estimation of the boarding and alighting locations of paratransit passengers via a small-scale field test that was conducted in Krabi City, Thailand. From the results, we determined that: (1) with use of appropriate data cleaning procedures, many of the noisy data could be eliminated to a reasonable degree; (2) it would be reasonable to ignore Wi-Fi data for which the moving distances are too short, and regard them as outliers or irrelevant records; (3) when the proposed matching methods are used with the ground truth data, suitable numbers of the Wi-Fi data are well matched.
