第3回研究小委員会を開催しました.
第3回研究小委員会を開催しました.
第3回 応用一般均衡分析と交通分析の統合に関する研究小委員会
日時:2017年8月18日(金) 13:30-16:00
場所:神戸大学梅田インテリジェントラボラトリ
出席者:小池,織田澤,佐藤,瀬谷,山本,瀬木,高山,平松,寺西,右近,片山,石倉(所属および敬称略)
話題提供
・山本浩道(三菱重工/神戸大学)「家計の異質性を考慮したCUEモデルの開発」
概要:
アジア・ASEANでのCUEモデルへの要請として,推定精度の高さや,家計の社会経済的属性が多様な地域への適用性が求められている.CUEモデルの立地モデルおよび交通モデルの各段階において,社会経済属性によってモデルパラメータの異質性を考慮した場合のモデルを構築し,神戸市を事例としてモデル出力結果への影響を分析した.
・瀬木俊輔(京都大学)「CGEモデルにおける貨物輸送費用の表現と実装に関する考察,ほか」
概要:
SCGEモデルにおいて輸送サービスをモデル化するための理論的枠組みについて,データの利用可能性を考慮しつつ方法論を整理した.
一地域閉鎖経済を対象として,貨物輸送費削減効果を評価するための理論モデルを構築し,その効果を解析的に示した.輸送サービス供給を明示したモデルと氷塊輸送型モデルとの類似性と差異を示した.
ほか,食品の在庫管理費用を考慮した商店の立地分析に関する研究および補償原理に関する考察について話題提供があった.
その他:次回日程調整など
本研究小委員会に関係する今後のイベント:
ERSA2017スペシャルセッション,8/30@フローニンゲン大学
土木計画学研究発表会(秋大会),11/3-5@岩手大学
チュートリアルセッション,11/2@いわて県民情報交流センター(JR盛岡駅徒歩4分)
研究小委員会+懇親会:11/2夕方(チュートリアルセッション後)に開催予定
日蘭(日欧)セミナー,2018年3月予定
2017年度 第2回「ITSとインフラ・地域・まちづくり」小委員会
2017年度 第2回「ITSとインフラ・地域・まちづくり」小委員会
日時:2017年8月3日(木) 15:00~17:10
場所:土木学会AB会議室
第12回日本モビリティ・マネジメント会議(福岡県福岡市)
第12回日本モビリティ・マネジメント会議(福岡県福岡市)
第十二回日本モビリティ・マネジメント会議(JCOMM)開催のお知らせ
我が国におけるMM施策が、今後も効果的・広範に推進されることを目指して、行政、大学、コンサルタント、市民団体等のMM関係者が一堂に会する日本モビリティ・マネジメント会議(JCOMM)を下記の要項にて開催いたします。
■ 開催日 2017年7月28日(金)・29日(土)
■ 会場 福岡県福岡市 アクロス福岡
■ 主催 (一社)日本モビリティ・マネジメント会議
■ 概要 概要等の詳細は決定次第掲載いたします。なお、プログラム概要は以下を予定しております。
※28日:午前は開催地企画、午後からJCOMMセッション
※29日:終日JCOMMセッション
http://www.jcomm.or.jp
#86 スマート・プランニングの活用と今後の展望
Date
2017年7月22日
Venue
東京大学工学部14号館,141教室(1階)
スマート・プランニングの活用と今後の展望
第86回ワンデイセミナー「スマート・プランニングの活用と今後の展望」
第86回ワンデイセミナー「スマート・プランニングの活用と今後の展望」
「都市-交通計画の未来」羽藤英二(東京大学)[資料2-1]「さあ始めよう,スマートプランニング」関信郎(国土交通省) [資料2-2]
岡山市 是友修二(岡山市) [資料3-1]神戸市 杉本保男(神戸市) [資料3-2]熊本市 溝上章志(熊本大学) [資料3-3]
データ同化から,Wi-FiやGPSを用いた最新の都市流動調査の可能性と街路空間の再配分やストリートマネジメント,駅まち空間の新時代に向けた新たな都市計画手法の可能性と今後の課題を議論します.
コーディネータ:羽藤英二(東京大学)パネリスト: 佐々木邦明(山梨大学) [資料4-1]
伊藤香織(東京理科大) [資料4-2]越智健吾(国土交通省) [資料4-3]三島功裕(神戸市) [資料4-4]石神孝裕(IBS) [資料4-5]
#155 28th Tokyo Tech TSU Seminar: Solving Path Problems in Network Traffic Assignment
Date
2017年7月13日
Venue
東京工業大学 大岡山キャンパス 緑が丘6号館 Midorigaoka Build. #6, Ookayama Campus, Tokyo Institute of Technology
28th Tokyo Tech TSU Seminar: Solving Path Problems in Network Traffic Assignment
Date:13th July (Thu.) 2017
Time:14:00 – 17:00
http://www.transport-titech.jp/seminar_visitor.html
Lecture 1
Title:Another Alternative to Dial’s Logit Assignment Algorithm on All Acyclic Paths
Speaker:Dr. Takeshi Nagae (Tohoku University) and Shin-ichi Inoue (The Institute of Behavioral Sciences)
Lecture 2
Title:Why does proportionality matter in traffic assignment and how to achieve it?
Speaker:Prof. Yu (Marco) Nie (Northwestern University)
Abstract for Lecture 2:
The proportionality condition has been widely used to produce a unique path flow solution in the user equilibrium traffic assignment problem. In this talk I will first explain why proportionality offers a conceptually simple, practically viable and computationally efficient approach to determining a path flow solution that approximately conforms to the principle of entropy maximization. I will then address two hitherto open questions: (1) whether and to what extent does the proportionality condition accord to real travel behavior; and (2) how to develop an efficient algorithm that guarantees finding a solution to satisfy the proportionality condition strictly? To answer the first question, we mine a large taxi trajectory data set to obtain millions of route choice observations, and uncover hundreds of valid paired alternative segments (PAS) from the data. The results obtained by performing linear regression analysis and chi-square tests show that the majority of the PASs tested (up to 85%) satisfy the proportionality condition at a reasonable level of statistical significance. To answer the second question, we propose a novel algorithm. It alternates between constructing an origin-based and a destination-based bush representation of user equilibrium solutions, and iteratively solves the entropy maximization subproblem defined for each bush. Thanks to the special structure of bushes, these subproblems can be solved efficiently. The proposed algorithm thus obviates enumerating all UE paths or collecting a set of paired alternative segments (PAS) to cover them. We prove that the algorithm ensures convergence to a solution that perfectly satisfies the proportionality condition in general networks. The proposed algorithm solves the problem much faster than the known alternatives, with a speedup of 3 – 8 times on large networks.
Short Bio. of Dr. Yu (Marco) Nie:
Dr. Marco Nie is currently an Associate Professor of Civil and Environmental Engineering at Northwestern University. He received his B.S. in Structural Engineering from Tsinghua University, his M.Eng. from National University of Singapore and his Ph.D. from the University of California, Davis. Dr. Nie’s research covers a variety of topics in the areas of transportation systems analysis, transportation economics, sustainable transportation and traffic flow theory and simulation. Dr. Nie is currently a member of TRB committee on Transportation Network Modeling (ADB30). He also serves as an Associate Editor for Transportation Science, an Area Editor for Networks and Spatial Economics, and is a member of the Editorial Advisory Board for Transportmetrica-B and Transportation Research Part B. Dr. Nie’s research has been supported by National Science Foundation, Transportation Research Board, US Department of Transportation, US Department of Energy, and Illinois Department of Transportation.
#157 Multi-gated perimeter traffic flow control of monocentric cities
Date
2017年7月7日
Venue
Room C2-301, Department of Engineering, Kobe University
Multi-gated perimeter traffic flow control of monocentric cities
– Speaker: Dr. Konstantinos Ampountolas, Glasgow University, UK
– Title: “Multi-gated perimeter traffic flow control of monocentric cities”
– Venue: Room C2-301, Department of Engineering, Kobe University.
#156 The 8th of International BinN Research Seminar “Dynamic Behavior Analysis and Clustring in Unsteady Networks”
Date
2017年7月5日
Venue
Room 409, Building #1, the University of Tokyo
The 8th of International BinN Research Seminar “Dynamic Behavior Analysis and Clustring in Unsteady Networks”
The 8th International BinN Research Seminar “Dynamic Behavior Analysis in Unsteady Networks” will be held on July 5th 2015. As keynote speakers, we will invite Dr. Konstantinos Ampountolas from University of Glasgow. Dr. Dr. Konstantinos Ampountolas is currently doing research on network analysis and in the seminar, keynote lectures would focus on functional distributional algorithm for clustering heterogeneous traffic networks using spatiotemporal data. In addition, we discuss about new approaches of unsteady behavioral modeling with two researchers’ presentation.
Program
Ashwini Venkatasubramaniama,b,c, Ludger Eversa, and Konstantinos Ampountolas*, School of Mathematics & Statistics, Urban Big Data Centre (UBDC) http://ubdc.ac.uk University of Glasgow, UK
Title:
Functional distributional clustering of traffic networks for spatio-temporal data
Abstract:
Clustering analysis provides a selection of a finite collection of templates that well represent, in some sense, a large collection of data. Nowadays clustering has many applications in engineering, computer science, social and life sciences, due to the availability of large volumes of data from user-generated content and emerging infrastructure-based sensors. In this talk, we present a functional distributional algorithm for clustering heterogeneous traffic networks using spatiotemporal data. The proposed algorithm seeks to identify spatially contiguous clusters in Manhattan-like grid networks and has the ability to accommodate temporal data with bi-modal characteristics. The algorithm draws on a measure of distance that utilises (cumulative distribution) functions of observations rather than functions of clusters. We describe methods to determine the optimal number of clusters within a hierarchical agglomerative clustering framework. This helps to evaluate the similarity between distinct identified clusters and “true” clusters to measure the algorithm’s performance. Results demonstrate that the proposed functional distributional clustering algorithm has a greater ability to efficiently identify clusters compared to functional only and temporal only algorithms. On-going work on dynamic clustering seeks to identify clusters that change over time.
Sachiyo Fukuyama
Department of Civil Engineering, University of Tokyo
Title: Network analysis for urban planning based on the historical development process
Abstract:
We propose a method of network analysis to figure out the spatial structure and characteristics of urban districts, which are assumed to be important for efficient urban planning and renovation. We use a simple index that reflect route choice behavior for analyzing road networks in the periods before behavioral surveys started. For a case study, we apply the method to the historical networks of the old city of Barcelona and find the relation between the streets of high centrality and the placement of open spaces.
Eiji Hato and Samal Dharmarathna*
Department of Civil Engineering, University of Tokyo
*Presenter
Title:
Unsteady travel behavior under uncertainty in densified networks
Abstract:
Understanding the travellers’ behavior under uncertainty is essential to minimize the congestion and maintain the service level of densified networks during unexpected events such as earthquakes or extreme weather events. During such events, drivers’ pre-trip decisions are get disturbed and it becomes quite obvious to assume that their cognition and decision-making mechanisms are more myopic as the network condition is likely to be stochastic. But still there is some space that drivers could use their spatial knowledge on the network to choose the route.
This on-going study tries to cope with both these concepts by using the generalized recursive logit (GRL) model and compare the differences, by using the probe taxi data collected in Tokyo during the period of Great East Japan Earthquake occurred on 11th March 2011 and torrential rain occurred on 23rd July 2013. Gridlock phenomena has occurred in Tokyo for the first time, after the earthquake due to the temporary shutdown of the metropolitan expressway and all railways for checking purposes. The behavior of the sequential discount rate which generalize the drivers’ decision making dynamics and represent the degree of spatial recognition of network as a parameter is compared along with other parameters such as travel time and right turn dummy within the event by using similar data collected exactly one week before and after the earthquake respectively on 04th and 18th of March 2011. During the event of torrential rain, some of the links that has under passes and depressions were inundated and the cars or taxies couldn’t move across. Hence the travellers’ use such routes under normal circumstances had to choose alternative routes. In this case also, the aforementioned parameters were estimated and compared within the event by using the similar data collected exactly one week after the event on 30th July 2013. In addition, we would like to present the comparison of parameters between the two events as well.
国際海運経済学会(IAME)京都大会の開催
国際海運経済学会(IAME)京都大会の開催
http://web.apollon.nta.co.jp/iame2017/index.html