Evaluating Line Capacity with an Analytical UIC Code 406 Compression Method and Blocking Time Stairway
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Beijing Subway Map
Beijing Subway Map Ming Tombs North Changping Line Changping Xishankou 十三陵景区 昌平西山口 Changping Beishaowa 昌平 北邵洼 Changping Dongguan 昌平东关 Nanshao南邵 Daoxianghulu Yongfeng Shahe University Park Line 5 稻香湖路 永丰 沙河高教园 Bei'anhe Tiantongyuan North Nanfaxin Shimen Shunyi Line 16 北安河 Tundian Shahe沙河 天通苑北 南法信 石门 顺义 Wenyanglu Yongfeng South Fengbo 温阳路 屯佃 俸伯 Line 15 永丰南 Gonghuacheng Line 8 巩华城 Houshayu后沙峪 Xibeiwang西北旺 Yuzhilu Pingxifu Tiantongyuan 育知路 平西府 天通苑 Zhuxinzhuang Hualikan花梨坎 马连洼 朱辛庄 Malianwa Huilongguan Dongdajie Tiantongyuan South Life Science Park 回龙观东大街 China International Exhibition Center Huilongguan 天通苑南 Nongda'nanlu农大南路 生命科学园 Longze Line 13 Line 14 国展 龙泽 回龙观 Lishuiqiao Sunhe Huoying霍营 立水桥 Shan’gezhuang Terminal 2 Terminal 3 Xi’erqi西二旗 善各庄 孙河 T2航站楼 T3航站楼 Anheqiao North Line 4 Yuxin育新 Lishuiqiao South 安河桥北 Qinghe 立水桥南 Maquanying Beigongmen Yuanmingyuan Park Beiyuan Xiyuan 清河 Xixiaokou西小口 Beiyuanlu North 马泉营 北宫门 西苑 圆明园 South Gate of 北苑 Laiguangying来广营 Zhiwuyuan Shangdi Yongtaizhuang永泰庄 Forest Park 北苑路北 Cuigezhuang 植物园 上地 Lincuiqiao林萃桥 森林公园南门 Datunlu East Xiangshan East Gate of Peking University Qinghuadongluxikou Wangjing West Donghuqu东湖渠 崔各庄 香山 北京大学东门 清华东路西口 Anlilu安立路 大屯路东 Chapeng 望京西 Wan’an 茶棚 Western Suburban Line 万安 Zhongguancun Wudaokou Liudaokou Beishatan Olympic Green Guanzhuang Wangjing Wangjing East 中关村 五道口 六道口 北沙滩 奥林匹克公园 关庄 望京 望京东 Yiheyuanximen Line 15 Huixinxijie Beikou Olympic Sports Center 惠新西街北口 Futong阜通 颐和园西门 Haidian Huangzhuang Zhichunlu 奥体中心 Huixinxijie Nankou Shaoyaoju 海淀黄庄 知春路 惠新西街南口 芍药居 Beitucheng Wangjing South望京南 北土城 -
A Trip Purpose-Based Data-Driven Alighting Station Choice Model Using Transit Smart Card Data
Hindawi Complexity Volume 2018, Article ID 3412070, 14 pages https://doi.org/10.1155/2018/3412070 Research Article A Trip Purpose-Based Data-Driven Alighting Station Choice Model Using Transit Smart Card Data Kai Lu ,1 Alireza Khani,2 and Baoming Han 1 1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China 2Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA Correspondence should be addressed to Kai Lu; [email protected] and Baoming Han; [email protected] Received 18 December 2017; Revised 2 June 2018; Accepted 15 July 2018; Published 28 August 2018 Academic Editor: Shuliang Wang Copyright © 2018 Kai Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Automatic fare collection (AFC) systems have been widely used all around the world which record rich data resources for researchers mining the passenger behavior and operation estimation. However, most transit systems are open systems for which only boarding information is recorded but the alighting information is missing. Because of the lack of trip information, validation of utility functions for passenger choices is difficult. To fill the research gaps, this study uses the AFC data from Beijing metro, which is a closed system and records both boarding information and alighting information. To estimate a more reasonable utility function for choice modeling, the study uses the trip chaining method to infer the actual destination of the trip. Based on the land use and passenger flow pattern, applying k-means clustering method, stations are classified into 7 categories. -
University of Birmingham Field Test of Train Trajectory Optimisation on a Metro Line
CORE Metadata, citation and similar papers at core.ac.uk Provided by University of Birmingham Research Portal University of Birmingham Field test of train trajectory optimisation on a metro line Zhao, Ning; Chen, Lei; Tian, Zhongbei; Roberts, Clive; Hillmansen, Stuart; lv, Jidong DOI: 10.1049/iet-its.2016.0214 License: Other (please specify with Rights Statement) Document Version Peer reviewed version Citation for published version (Harvard): Zhao, N, Chen, L, Tian, Z, Roberts, C, Hillmansen, S & lv, J 2017, 'Field test of train trajectory optimisation on a metro line', IET Intelligent Transport Systems, vol. 11, no. 5, pp. 273-281. https://doi.org/10.1049/iet- its.2016.0214 Link to publication on Research at Birmingham portal Publisher Rights Statement: Checked for eligibility 14/06/2018 This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. •Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (?) •Users may not further distribute the material nor use it for the purposes of commercial gain. -
Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm
energies Article Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm Fei Lin *, Shihui Liu, Zhihong Yang, Yingying Zhao, Zhongping Yang and Hu Sun School of Electrical Engineering, Beijing Jiaotong University, No. 3 Shangyuancun, Beijing 100044, China; [email protected] (S.L.); [email protected] (Z.Y.); [email protected] (Y.Z.); [email protected] (Z.Y.); [email protected] (H.S.) * Correspondence: fl[email protected]; Tel.: +86-136-4139-8863 Academic Editor: William Holderbaum Received: 2 February 2016; Accepted: 10 March 2016; Published: 17 March 2016 Abstract: With its large capacity, the total urban rail transit energy consumption is very high; thus, energy saving operations are quite meaningful. The effective use of regenerative braking energy is the mainstream method for improving the efficiency of energy saving. This paper examines the optimization of train dwell time and builds a multiple train operation model for energy conservation of a power supply system. By changing the dwell time, the braking energy can be absorbed and utilized by other traction trains as efficiently as possible. The application of genetic algorithms is proposed for the optimization, based on the current schedule. Next, to validate the correctness and effectiveness of the optimization, a real case is studied. Actual data from the Beijing subway Yizhuang Line are employed to perform the simulation, and the results indicate that the optimization method of the dwell time is effective. Keywords: genetic algorithm; dwell time; energy saving; braking energy; multi-train; urban rail transit 1. -
School Choice Guide 2013-2014
beijingkids edition February 2013 PRICE:RMB¥10.00(DOMESTIC) US$4.95(ABROAD) School Choice Guide 2013-2014 Feature 10 Charting Your Course A guide to education systems in Beijing 24 Moving Towards Independence The ins and outs of middle school prep 28 Internationally-Minded 10 How to approach bilingual education Listings 33 Schools by Alphabetical Order 34 Schools by Area (List) 35 Schools by Education System 36 Schools by Area (Chart) 37 Schools by Age Group 24 38 School Profiles Directories 104 Family Health 105 Family Life 105 Family Travel 107 Fun Stuff 107 Shopping 28 108 Sports ON THE COVER: Calista (age 9) and her brother Ethan Family Focus Shepheard (age 6) are Year 4 and Year 1 students respectively at The British School of Beijing (BSB). Calista’s favorite subjects are PE and music – where she plays the 112 The Carr Family cello. Ethan enjoys recess and his favorite ASA is swimming with BSB’s Splash Club. Photo by Littleones Kids & Family Portrait Studio. A special thanks to The British School of Beijing. 《中国妇女》英文刊 2012 年 2 月(下半月) WOMEN OF CHINA English Monthly WOMEN OF CHINA English Monthly Sponsored and administrated by ALL-CHINA WOMEN’S FEDERATION 中华全国妇女联合会主管/主办 Published by WOMEN’S FOREIGN LANGUAGE PUBLICATIONS OF CHINA 中国妇女外文期刊社出版 Publishing Date: February 1st, 2012 本期出版时间: 2012年2月1日 Adviser 顾 问 彭 云 PENG PEIYUN 中华全国妇女联合会名誉主席 全国人大常委会前副委员长 Honorary President of the ACWF and Former Vice-Chairperson of the NPC Standing Committee Adviser 顾 问 顾秀莲 GU XIULIAN 全国人大常委会前副委员长 Former Vice-Chairperson of the NPC Standing Committee Director -
Coordinated Train Control in a Fully Automatic Operation System for Reducing Energy Consumption
Computers in Railways XIII 3 Coordinated train control in a fully automatic operation system for reducing energy consumption J. Xun1, X. Yang1, B. Ning1, T. Tang1 & W. Wang2 1The State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 2National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing Abstract Energy efficient train operation includes four levels for energy saving: energy efficient driving, real-time multi-train coordination and rescheduling, energy- saving timetabling, and energy-saving planning. For a fully automatic operation system, it provides a flexible way to coordinate trains. The coordination of trains can improve some system performances, such as the efficient use of regenerative energy. The efficient use of energy regenerated by other trains which are during braking phase can contribute to reducing energy consumption. In general, the approaches of coordinated train control for using regenerative energy can be divided into two types: train dwell time control and train running time control. This paper proposes an approach for coordinating trains in fully automatic operation system by modifying running time between adjacent stations. Simulation studies are performed and the usage of regenerative energy and average passenger waiting time is analysed by using the proposed method. It is shown that improvements in the usage of regenerative energy can be achieved by using the proposed method. Keywords: coordinated train control, energy-saving, fully automatic operation, running time control. WIT Transactions on The Built Environment, Vol 127, © 2012 WIT Press www.witpress.com, ISSN 1743-3509 (on-line) doi:10.2495/CR120011 4 Computers in Railways XIII 1 Introduction Reduction of energy consumption has drawn more and more attractions in railway industry. -
Field Test of Train Trajectory Optimisation on a Metro Line Zhao, Ning; Chen, Lei; Tian, Zhongbei; Roberts, Clive; Hillmansen, Stuart; Lv, Jidong
University of Birmingham Field test of train trajectory optimisation on a metro line Zhao, Ning; Chen, Lei; Tian, Zhongbei; Roberts, Clive; Hillmansen, Stuart; lv, Jidong DOI: 10.1049/iet-its.2016.0214 License: Other (please specify with Rights Statement) Document Version Peer reviewed version Citation for published version (Harvard): Zhao, N, Chen, L, Tian, Z, Roberts, C, Hillmansen, S & lv, J 2017, 'Field test of train trajectory optimisation on a metro line', IET Intelligent Transport Systems, vol. 11, no. 5, pp. 273-281. https://doi.org/10.1049/iet- its.2016.0214 Link to publication on Research at Birmingham portal Publisher Rights Statement: Checked for eligibility 14/06/2018 This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. •Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (?) •Users may not further distribute the material nor use it for the purposes of commercial gain. -
An Integrated Platform for Energy-Saving Operation in Urban Rail Transit
Computers in Railways XIV Special Contributions 139 An integrated platform for energy-saving operation in urban rail transit X. M. Song1, J. Xun1, B. Ning1, T. Tang1 & B. Wang2 1The State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 2School of Electrical Engineering, Beijing Jiaotong University, Beijing Abstract As regenerative braking technology is widely used in urban rail transit system, there is an interest to find an optimization method for energy-saving train operation based on the information from traction power supply. To study such method, this paper introduces an integrated hardware-in-loop simulation platform, which has a model integrating train operation control and traction power supply. In this model, the train operation optimal control model provides train operation information for a traction power supply model, and the traction power supply model generates data of voltage and current based on the characteristics of traction power supply, which is needed by the train operation optimal strategy. Based on the model, an energy-saving optimal algorithm for train control is proposed. The algorithm adds third-rail voltage into inputs. When the third-rail voltage rises, the algorithm will judge whether nearby trains under control of the same substation meet the conditions to accelerate and will adjust train operation mode (accelerate) if possible to realize the maximum utilization of regenerative braking energy. In order to ensure schedule adherence, the proposed model adjusts running time in the next inter-station. The feasibility and effectiveness of the proposed method are verified on the integrated hardware-in-loop simulation platform based on field test of Yizhuang line, Beijing Subway. -
Toyo Electric Mfg. Co., Ltd
Transportation Systems Segment Electrical equipment for rail vehicles that re- sponds to robust demand for railway infra- structure development in global market Business Overview We delivered electrical equipment including motors for the Hokuriku Shinkansen, which started its Percentage of service in March 2015. Overseas, we received orders for subway contracts in Southeast Asia and the total net sales Middle East and got started in preparation for service launch from 2017. In the future, we will pursue 67.8% overseas expansion even more aggressively as a driver of growth through means such as expansion of maintenance business for the Beijing Subway. Results for fiscal 2014 Orders Received (Unit: Million yen) Net Sales (Unit: Million yen) Segment Income (Unit: Million yen) Orders Received While orders increased in Japan, over- seas orders decreased due to a rebound 24,759 million yen from major orders received in the previ- 3,117 (Down 16.9% year on year) ous year and a delay in contracts that 29,790 were scheduled. 26,869 2,374 24,759 Net Sales While sales decreased slightly in Japan, 22,198 20,940 Business Report 26,869 million yen revenue increased significantly as a 1,913 result of growth in subways and high- 17,324 (Up 21.0% year on year) speed railroad in China. Segment Income Profits increased as the effects of signifi- cant increase in revenue and improved 10 Transportation Systems segment 3,117 million yen profitability at factories absorbed nega- FY 2012 2013 2014 FY 2012 2013 2014 FY 2012 2013 2014 11 Industrial Systems segment (Up 31.3% year on year) tive factors such as an increase in expenses. -
Developing Light Rail
LIGHT RAIL INTEGRATION MARKET Busan Newcastle Metro cars South Korea’s rst modern A tram line is added to the e metro rolling stock tram line is taking shape new operator’s responsibilities market had a strong 2018 PAGE 18 PAGE 32 PAGE 38 www.metro-report.com Spring 2019 Developing light rail Metro Report International | Spring 2019 3 CONTENTS Volume 33 No 1 | Spring 2019 Thinking forwards COMMENT ne light rail industry professional recently asserted that ‘it is obvious that the UK lags far behind many other nations in its 4 Reshaping urban mobility | Yves Amsler reflects on the lack of forward thinking when it comes to city transport’. Many role of urban rail in a changing market would disagree with this assessment, not least those who are workingO in the city transport sector today. DIGEST London is generally seen as the reference for account-based contactless ticketing, which was introduced on the TfL network in 2014 to comple- ment the Oyster card. Its rapid adoption in cities around the world makes 6 City Digest | Manila, Istanbul, UK trams, Luxembourg, Berlin, New York this seem like a very forward-thinking move indeed: where London led, others are following. Innovation is not just on display in London. Last year, mobility as a ser- CITIES vice came to Birmingham in the form of the Whim multimodal app. is is certainly not the rst instance of MaaS — Whim started out by oering its 10 Beijing | As the Chinese capital grows, so does its service in Helsinki — but Birmingham is one of the few cities that is trying metro network this concept while it is still in its infancy. -
(Late 2010 Finalized) with Bus Transfers
Beijing Subway Network 2010 昌平 Nanshao 南邵 Changping Shahe University Park 沙河高教园 北京轨道交通 2010 年线路网络 Shahe 沙河 2011 T T Tiantonguyuan N Exit at 2 station for 1 Gonghuacheng T T Not to scale 天通苑北 Houshayu 后沙峪 ➔ 去往 1 的乘客由 2 站下车 北 N 未按照比例绘画 巩华城 花梨坎 15 Zhuxinzhuang Tiantongyuan 5 Hualikan 朱辛庄 PEK Map © 2010 David Feng & Civitology. 30 Dec 2010. 2010-2.0.1 天通苑 China International Exhibition Center Which terminal? 哪座航站楼? Tiantongyuan S 国展 Released under Creative Commons BY-NC-ND license. Life Science Park 天通苑南 HU 海航 生命科学院 Beiyuan T T Sunhe 孙河 2 ➔ 北苑 1 Domestic only 限国内航线 ➔ ✈ Longze 龙泽 Huilongguan Huoying Lishuiqiao ➔ Skyteam 天合联盟 Wangjing East Subway station Maquanying T 回龙观 霍营 立水桥 马泉营 2 + HU other flights 海航其他线 Xi'erqi Lishuiqiao S will open at a later date. 西二旗 立水桥南 地铁望京东站暂不开放 T Star Alliance 星空联盟 Cuigezhuang 3 T 崔各庄 3 oneworld 寰宇一家 2011 Beiyuanlu N ➔ ➔ 北苑路北 Shanghai Airlines operates from T2 Shangdi S Gate of Forest Park 乘上海航空公司的旅客请到 T2 航站楼 上地 13 森林公园南门 Wangjing W Wangjing Wangjing E Beigongmen Xiyuan Yuanmingyuan Park 8 望京西 望京 望京东 If you have any questions, 4 Datunlu E please check with your carrier in good time. 北宫门 西苑 圆明园 Olympic Green 大屯路东 若有问题,请提前咨询航空公司。 Anheqiao N Wudaokou 奥林匹克公园 安河桥北 五道口 E Gate of Peking University 北京大学东门 Olympic Sports Center Huixinxijie Beikou 惠新西街北口 Zhongguancun 奥体中心 Bagou Suzhoujie 中关村 Xitucheng Jiandemen Beitucheng Huixinxijie Nankou Shaoyaoju 巴沟 苏州街 西土城 健德门 北土城 Anzhenmen 安贞门 惠新西街南口 芍药居 Taiyanggong 10 太阳宫 Haidian Huangzhuang Zhichunli Zhichunlu Mudanyuan Hepingxiqiao Guangximen 海淀黄庄 知春里 知春路 牡丹园 和平西桥 光熙门 Yonghegong -
University of Birmingham Field Test of Train Trajectory Optimisation on A
University of Birmingham Field test of train trajectory optimisation on a metro line Zhao, Ning; Chen, Lei; Tian, Zhongbei; Roberts, Clive; Hillmansen, Stuart; lv, Jidong DOI: 10.1049/iet-its.2016.0214 License: Other (please specify with Rights Statement) Document Version Peer reviewed version Citation for published version (Harvard): Zhao, N, Chen, L, Tian, Z, Roberts, C, Hillmansen, S & lv, J 2017, 'Field test of train trajectory optimisation on a metro line', IET Intelligent Transport Systems, vol. 11, no. 5, pp. 273-281. https://doi.org/10.1049/iet- its.2016.0214 Link to publication on Research at Birmingham portal Publisher Rights Statement: Checked for eligibility 14/06/2018 This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library. General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. •Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (?) •Users may not further distribute the material nor use it for the purposes of commercial gain.