Traffic and Transportation Simulation
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Self-Organization and Self-Optimization of Traffic Flows on Freeways and in Urban Networks Prof
Self-Organization and Self-Optimization of Traffic Flows on Freeways and in Urban Networks Prof. Dr. rer. nat. Dirk Helbing Chair of Sociology, in particular of Modeling and Simulation www.soms.ethz.ch with Amin Mazloumian, Stefan Lämmer, Reik Donner, Johannes Höfener, Jan Siegmeier, ... © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Systemic Instability: Spontaneous Traffic Breakdowns Thanks to Yuki Sugiyama Capacity drop, when capacity is most needed! At high densities, free traffic flow is unstable: Despite best efforts, drivers fail to maintain speed © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch The Intelligent-Driver Model (IDM) ► Equations of motion: ► Dynamic desired distance © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Instability of Traffic Flow © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Breakdown of Traffic due to a Supercritical Reduction of Traffic Flow © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Metastability of Traffic Flow © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Assumed Instability Diagram Grey areas = metastable regimes, where result depends on perturbation amplitude © ETH Zürich | Dirk Helbing | Chair of Sociology, in particular of Modeling and Simulation | www.soms.ethz.ch Phase Diagram of Traffic States and Universality Classes Phase diagram for small perturbations for large perturbations After: PRL (1999) Phase diagrams are not only important to understand the conditions under which certain traffic states emerge. -
Archons (Commanders) [NOTICE: They Are NOT Anlien Parasites], and Then, in a Mirror Image of the Great Emanations of the Pleroma, Hundreds of Lesser Angels
A R C H O N S HIDDEN RULERS THROUGH THE AGES A R C H O N S HIDDEN RULERS THROUGH THE AGES WATCH THIS IMPORTANT VIDEO UFOs, Aliens, and the Question of Contact MUST-SEE THE OCCULT REASON FOR PSYCHOPATHY Organic Portals: Aliens and Psychopaths KNOWLEDGE THROUGH GNOSIS Boris Mouravieff - GNOSIS IN THE BEGINNING ...1 The Gnostic core belief was a strong dualism: that the world of matter was deadening and inferior to a remote nonphysical home, to which an interior divine spark in most humans aspired to return after death. This led them to an absorption with the Jewish creation myths in Genesis, which they obsessively reinterpreted to formulate allegorical explanations of how humans ended up trapped in the world of matter. The basic Gnostic story, which varied in details from teacher to teacher, was this: In the beginning there was an unknowable, immaterial, and invisible God, sometimes called the Father of All and sometimes by other names. “He” was neither male nor female, and was composed of an implicitly finite amount of a living nonphysical substance. Surrounding this God was a great empty region called the Pleroma (the fullness). Beyond the Pleroma lay empty space. The God acted to fill the Pleroma through a series of emanations, a squeezing off of small portions of his/its nonphysical energetic divine material. In most accounts there are thirty emanations in fifteen complementary pairs, each getting slightly less of the divine material and therefore being slightly weaker. The emanations are called Aeons (eternities) and are mostly named personifications in Greek of abstract ideas. -
Mathematical Modelling of Traffic Flow on Highway
ISSN (Online) 2456 -1304 International Journal of Science, Engineering and Management (IJSEM) Vol 2, Issue 11, November 2017 Mathematical Modelling Of Traffic Flow on Highway [1] Venkatesha P., [2] Ajith.M, [3] Abhijith Patil, [4]Dhamini.T [1] Assistant Professor, [2][3][4] 1st Semester [1] Department of science and humanities Engineering,[2] Department of Computer Science Engineering, [3][4] Department of Electronics & Communication Engineering [1][2][3][4] Sri Sai Ram College of Engineering, Anekal, Bengaluru, India. Abstract:-- This paper intends a mathematical model for the study of traffic flow on the highways. This paper develops a discrete velocity mathematical model in spatially homogeneous conditions for vehicular traffic along a multilane road. The effect of the overall interactions of the vehicles along a given distance of the road was investigated. We also observed that the density of cars per mile affects the net rate of interaction between them. A mathematical macroscopic traffic flow model known as light hill, Whitham and Richards (LWR) model appended with a closure non-linear velocity-density relationship yielding a quasi-linear first order (hyperbolic) partial differential equation as an initial boundary value problem (IBVP) was considered. The traffic model IBVP is a finite difference method which leads to a first order explicit upwind by difference scheme was discretized. keywords:-- Mathematical modeling, traffic flow, Homogeneous conditions, Multilane road, Velocity-density, Quasi-linear first order (hyperbolic) partial differential equation, Finite difference method. I. INTRODUCTION II. HISTORY Attempts to produce a mathematical theory of traffic flow Mathematical modeling is the process of converting a date back to the 1920s, when Frank Knight first produced real-world problem into a mathematical problem and an analysis of traffic equilibrium, which was refined into solving them with certain circumstances and interpreting Wardrop’s first and second principles of equilibrium in 1 those solutions into real world. -
Common Traffic Congestion Features Studied in USA, UK, and Germany Employing Kerner’S Three-Phase Traffic Theory
Common Traffic Congestion Features studied in USA, UK, and Germany employing Kerner’s Three-Phase Traffic Theory Hubert Rehborn, Sergey L. Klenov*, Jochen Palmer# Daimler AG, HPC: 050-G021, D-71059 Sindelfingen, Germany, e-mail: [email protected] , Tel. +49-7031-4389-594, Fax: +49-7031-4389-210 *Moscow Institute of Physics and Technology, Department of Physics, 141700 Dolgoprudny, Moscow Region, Russia, e-mail: [email protected] #IT-Designers GmbH, Germany, e-mail: [email protected] Corresponding author : Hubert Rehborn, e-mail: [email protected] Abstract - Based on a study of real traffic data measured on American, UK and German freeways common features of traffic congestion relevant for many transportation engineering applications are revealed by the application of Kerner’s three-phase traffic theory. General features of traffic congestion, i.e., features of traffic breakdown and of the further development of congested regions, are shown on freeways in the USA and UK beyond the previously known German examples. A general proof of the theory’s statements and its parameters for international freeways is of high relevance for all applications related to traffic congestion. The application ASDA/FOTO based on Kerner’s three-phase traffic theory demonstrates its capability to properly process raw traffic data in different countries and environments. For the testing of Kerner’s “line J”, representing the wide moving jam’s downstream front, four different methods are studied and compared for each congested traffic situation occurring in the three countries. Keywords - Traffic congestion, Kerner’s three-phase theory, traffic data analysis, congestion, traffic models, traffic flow, Intelligent Transportation Systems 1 INTRODUCTION In many countries of the world, traffic on freeways is often heavily congested during many hours of the day. -
Network Notebook
Network Notebook Summer Quarter 2017 (July - September) A World of Services for Our Affiliates We make great radio as affordable as possible: • Our production costs are primarily covered by our arts partners and outside funding, not from our affiliates, marketing or sales. • Affiliation fees only apply when a station takes three or more programs. The actual affiliation fee is based on a station’s market share. Affiliates are not charged fees for the selection of WFMT Radio Network programs on the Public Radio Exchange (PRX). • The cost of our Beethoven and Jazz Network overnight services is based on a sliding scale, depending on the number of hours you use (the more hours you use, the lower the hourly rate). We also offer reduced Beethoven and Jazz Network rates for HD broadcast. Through PRX, you can schedule any hour of the Beethoven or Jazz Network throughout the day and the files are delivered a week in advance for maximum flexibility. We provide highly skilled technical support: • Programs are available through the Public Radio Exchange (PRX). PRX delivers files to you days in advance so you can schedule them for broadcast at your convenience. We provide technical support in conjunction with PRX to answer all your distribution questions. In cases of emergency or for use as an alternate distribution platform, we also offer an FTP (File Transfer Protocol), which is kept up to date with all of our series and specials. We keep you informed about our shows and help you promote them to your listeners: • Affiliates receive our quarterly Network Notebook with all our program offerings, and our regular online WFMT Radio Network Newsletter, with news updates, previews of upcoming shows and more. -
Kronos: Processor Family for High-Level Languages Dmitry Kuznetsov, Alexey Nedorya, Eugene Tarassov, Vladimir Philippov, Marina Philippova
Kronos: Processor Family for High-Level Languages Dmitry Kuznetsov, Alexey Nedorya, Eugene Tarassov, Vladimir Philippov, Marina Philippova To cite this version: Dmitry Kuznetsov, Alexey Nedorya, Eugene Tarassov, Vladimir Philippov, Marina Philippova. Kro- nos: Processor Family for High-Level Languages. 1st Soviet and Russian Computing (SoRuCom), Jul 2006, Petrozavodsk, Russia. pp.266-272, 10.1007/978-3-642-22816-2_32. hal-01568396 HAL Id: hal-01568396 https://hal.inria.fr/hal-01568396 Submitted on 25 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Kronos: Processor Family for High-Level Languages Dmitry N. Kuznetsov1, Alexey E. Nedorya2, Eugene V. Tarassov3, Vladimir E. Philippov4, and Marina Ya. Philippova5 1 California, USA; [email protected] 2 Veberi Ltd., Yaroslavl, Russia; [email protected] 3 Intel (Wind River), Inc.; [email protected] 4 Ershov Institute of Information Systems, SB RAS, Novosibirsk, Russia; [email protected] 5 xTech Ltd., Novosibirsk, Russia; [email protected] Abstract. The article describes the history of the Kronos project that took place in the middle of the 1980s in Akademgorodok, Novosibirsk, and was devoted to creating the first Russian 32-bit processor, Kronos. -
GMO TRUST Form NPORT-P Filed 2020-07-28
SECURITIES AND EXCHANGE COMMISSION FORM NPORT-P Filing Date: 2020-07-28 | Period of Report: 2020-05-31 SEC Accession No. 0001752724-20-146246 (HTML Version on secdatabase.com) FILER GMO TRUST Mailing Address Business Address 40 ROWES WHARF 40 ROWES WHARF CIK:772129| IRS No.: 000000000 | State of Incorp.:MA | Fiscal Year End: 0831 BOSTON MA 02110 BOSTON MA 02110 Type: NPORT-P | Act: 40 | File No.: 811-04347 | Film No.: 201052790 6173467646 Copyright © 2020 www.secdatabase.com. All Rights Reserved. Please Consider the Environment Before Printing This Document GMO Asset Allocation Bond Fund (A Series of GMO Trust) Schedule of Investments (showing percentage of total net assets) May 31, 2020 (Unaudited) Par Value / Shares Description Value ($) DEBT OBLIGATIONS 95.4% U.S. Government 95.4% 4,180,626 U.S. Treasury Inflation Indexed Bond, 0.25%, due 01/15/25(a) 4,322,632 9,708,322 U.S. Treasury Inflation Indexed Bond, 0.38%, due 01/15/27(a) 10,287,885 19,736,801 U.S. Treasury Inflation Indexed Bond, 0.50%, due 01/15/28(a) 21,285,579 32,786,545 U.S. Treasury Inflation Indexed Bond, 1.75%, due 01/15/28(a) 38,564,439 6,226,659 U.S. Treasury Inflation Indexed Bond, 0.75%, due 07/15/28(a) 6,899,050 11,269,835 U.S. Treasury Inflation Indexed Bond, 0.88%, due 01/15/29(a) 12,617,320 37,063,302 U.S. Treasury Inflation Indexed Bond, 2.50%, due 01/15/29(a) 46,777,790 20,266,660 U.S. -
Transportation Network Analysis
Transportation Network Analysis Volume I: Static and Dynamic Traffic Assignment Stephen D. Boyles Civil, Architectural, and Environmental Engineering The University of Texas at Austin Nicholas E. Lownes Civil and Environmental Engineering University of Connecticut Avinash Unnikrishnan Civil and Environmental Engineering Portland State University Version 0.8 (Public beta) Updated August 25, 2019 ii Preface This book is the product of ten years of teaching transportation network anal- ysis, at the The University of Texas at Austin, the University of Wyoming, the University Connecticut, and Portland State University. This version is being released as a public beta, with a final first edition hopefully to be released within a year. In particular, we aim to improve the quality of the figures, add some additional examples and exercises, and add historical and bibliographic notes to each chapter. A second volume, covering transit, freight, and logistics, is also under preparation. Any help you can offer to improve this text would be greatly appreciated, whether spotting typos, math or logic errors, inconsistent terminology, or any other suggestions about how the content can be better explained, better orga- nized, or better presented. We gratefully acknowledge the support of the National Science Foundation under Grants 1069141/1157294, 1254921, 1562109/1562291, 1636154, 1739964, and 1826230. Travis Waller (University of New South Wales) and Chris Tamp`ere (Katholieke Universiteit Leuven) hosted visits by the first author to their re- spective institutions, and provided wonderful work environments where much of this writing was done. Difficulty Scale for Exercises Inspired by Donald Knuth's The Art of Computer Programming, the exercises are marked with estimates of their difficulty. -
Wirth Transcript Final
A. M. Turing Award Oral History Interview with Niklaus Wirth by Elena Trichina ETH, Zürich, Switzerland March 13, 2018 Trichina: My name is Elena Trichina. It is my honor to interview Professor Niklaus Wirth for the Turing Award Winners Project of the Association for Computing Machinery, the ACM. The Turing Award, sometimes referred to as “the Nobel Prize of computing,” is given annually for major contributions of lasting importance in computing. Professor Wirth received his award in 1984 in recognition of his outstanding work in developing a sequence of programming languages – Euler, Algol-W, Pascal, Modula. The hallmarks of Wirth’s languages are their simplicity, economy of design, and high-level engineering. We will talk about it and many other things later today in the interview that takes place on the 13th of March, 2018, in the Swiss Federal Institute of Technology. So we start. Ready? Guten Tag, Niklaus. Gruetzi. Wirth: Добрый ден, Елена Василевна Здравствуи [Good morning, Elena. Hello. – ed.] Trichina: Well, although your command of Russian is sufficient, my command of Swiss German is a little bit rudimentary. Shall we continue in one of the languages where we both feel comfortable? What would it be? French? English? Wirth: Oh, I think English is better for me. Yes, yes. Trichina: Okay. It’s probably better for the audience. [laughs] Wirth: Okay. True. Trichina: Okay. We continue in English. Here in front of me there is a list of the most important days in your life. You were born in February 1934 in Winterthur, which is a sort of middle-size industrial town in Switzerland. -
Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Modeling Software
Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Modeling Software PUBLICATION NO. FHWA-HRT-04-040 JULY 2004 Research, Development, and Technology Turner-Fairbank Highway Research Center 6300 Georgetown Pike McLean, VA 22101-2296 Foreword Traffic simulation software has become increasingly more popular as a traffic analysis tool used in transportation analyses. One reason for this increase in the use of simulation is the need to model and analyze the operation of complex transportation systems under congested conditions. Where some analytical techniques break down under these types of conditions, simulation shines. However, despite the widespread use of traffic simulation software, there are a variety of conflicting thoughts and practices on how simulation should be used. The purpose of the Guidelines for Applying Traffic Microsimulation Modeling Software is to provide a recommended process for using traffic simulation software in transportation analyses. The guidelines provide the reader with a seven-step process that begins with project scope and ends with the final project report. The process is generic, in that it is independent of the specific software tool used in the analysis. In fact, the first step in the process involves picking the appropriate tool for the job at hand. It is hoped that these guidelines will assist the transportation community in creating a more consistent process in the use of traffic simulation software. This document serves as Volume III in the Traffic Analysis Toolbox. Other volumes currently in the toolbox include: Volume I: Traffic Analysis Tools Primer and Volume II: Decision Support Methodology for Selecting Traffic Analysis Tools. The intended audience for this report includes the simulation analyst, the reviewer of simulation analyses, and the procurer of simulation services. -
Categorization of Common Coupling and Its Application
A SEMANTIC ANCHORING INFRASTRUCTURE FOR MODEL-INTEGRATED COMPUTING By Kai Chen Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Computer Science August, 2006 Nashville, Tennessee Approved: Janos Sztipanovits Stephen R. Schach Gabor Karsai Gautam Biswas Sherif Abdelwahed Benoit Dawant 献给我的父母和我的妻子 To my parents & To my beloved wife, Yongjie ii ACKNOWLEDGMENTS I am greatly appreciative and thankful to my advisor, Dr. Janos Sztipanovits, for his scientific vision, detailed guidance, great patience and tremendous encouragement throughout these years. Dr. Sztipanovits has guided me through my transition from an incoming graduate student to an outgoing researcher. I also thank Dr. Stephen R. Schach, Dr. Gabor Karsai, Dr. Gautam Biswas, Dr. Sherif Abdelwahed and Dr. Benoit Dawant for serving on my dissertation committee. I appreciate their guidance and advice. Dr. Schach, who advised me while I was in the Master’s program, introduced me to the Software Engineering research area, which has direct impact on my thesis. I would also like to thank the members of the Institute for Software Integrated Systems, especially Dr. Sandeep Neema, Dr. John Koo, Dr. Douglas Schmidt, Dr. Aniruddha Gokhale, Ethan Jackson, Matthew Emerson, Graham Hemingway, Gabor Madl, Andrew Dixon, Brian Williams and Christopher Buskirk. Our many discussions stimulated my research. Most importantly, I want to express my deepest gratitude to my loving family. I am indebted to my mom and dad for their support, encouragement, and belief in me. Special thanks to my lovely wife, Yongjie, who makes all my work worthwhile. -
Development of a State of the Art Traffic Microsimulation Model for Nebraska Justice Appiah University of Nebraska–Lincoln, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Nebraska Department of Transportation Research Nebraska LTAP Reports 12-2011 Development of a State of the Art Traffic Microsimulation Model for Nebraska Justice Appiah University of Nebraska–Lincoln, [email protected] Bhaven Naik University of Nebraska-Lincoln, [email protected] Laurence Rilett University of Nebraska - Lincoln, [email protected] Yifeng Chen University of Nebraska - Lincoln Seung-Jun Kim University of Nebraska - Lincoln Follow this and additional works at: http://digitalcommons.unl.edu/ndor Part of the Transportation Engineering Commons Appiah, Justice; Naik, Bhaven; Rilett, Laurence; Chen, Yifeng; and Kim, Seung-Jun, "Development of a State of the Art Traffic Microsimulation Model for Nebraska" (2011). Nebraska Department of Transportation Research Reports. 141. http://digitalcommons.unl.edu/ndor/141 This Article is brought to you for free and open access by the Nebraska LTAP at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Nebraska Department of Transportation Research Reports by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Nebraska Transportation Center Report # UNL: SPR-1(06) P584 Final Report WBS: 26-1118-0075-001 DEVELOPMENT OF A STATE OF THE ART TRAFFIC MICROSIMULATION MODEL FOR NEBRASKA Laurence R. Rilett, Ph.D., P.E. Justice Appiah, Ph.D. Bhaven Naik, Ph.D. Laurence R. Rilett, Ph.D., P.E. Yifeng Chen Seung-Jun Kim, Ph.D. Nebraska Transportation Center 262 WHIT 2200 Vine Street Lincoln, NE 68583-0851 (402) 472-1975 “This report was funded in part through grant[s] from the Federal Highway Administration [and Federal Transit Administration], U.S.