This book provides an overview of calibration and validation techniques for traffic simulation models.
Author: Winnie Daamen
Publisher: CRC Press
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project�a European Cost Action project that incorporates work packages defining traffic simulation practice and research; highway and network modeling; and synthesis, dissemination, and training. This book addresses the calibration and validation of traffic models, and introduces necessary frameworks and techniques. It also includes viable methods for sensitivity analyses, and incorporates relevant tools for application. The book begins with a brief summary of various data collection techniques that can be applied to collect different data types. It then showcases various data processing and enhancement techniques for improving the quality of collected data. It also introduces the techniques according to the type of estimation, for example microscopic data enhancement, traffic state estimation, feature extraction and parameter identification techniques, and origin�destination matrix estimation. The material discusses the measures of performance, data error and goodness of fit, and optimization algorithms. It also contains the sensitivity analyses of parameters in traffic models. Describes the various tasks of calibration and validation Considers the best use of available data Presents the sensitivity analysis method Discusses typical issues of data error in transportation system data and how these errors can impact simulation results Details various methodologies for data collection, sensitivity analysis, calibration, and validation Examines benefits that result from the application of these methods Traffic Simulation and Data: Validation Methods and Applications serves as a key resource for transport engineers and planners, researchers, and graduate students in transport engineering and planning.
Systematic verification, validation and calibration of traffic simulation models. Proceedings of 75th Annual Meeting. Washington: Transportation Research Board, Washington, DC. Ramsay, J.O. and Silverman, B.W. 1997. Functional Data ...
Author: Winnie Daamen
Publisher: CRC Press
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo
This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics.
Author: Martin Treiber
Publisher: Springer Science & Business Media
This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.
A microscopic traffic flow simulator such as VISSIM contains the software including the mathematical models to run traffic flow models. The simulator itself does not include any applicationspecific data or additional tools which are ...
Author: Jaume Barceló
Publisher: Springer Science & Business Media
Category: Business & Economics
The increasing power of computer technologies, the evolution of software en- neering and the advent of the intelligent transport systems has prompted traf c simulation to become one of the most used approaches for traf c analysis in s- port of the design and evaluation of traf c systems. The ability of traf c simulation to emulate the time variability of traf c phenomena makes it a unique tool for capturing the complexity of traf c systems. In recent years, traf c simulation – and namely microscopic traf c simulation – has moved from the academic to the professional world. A wide variety of traf- c simulation software is currently available on the market and it is utilized by thousands of users, consultants, researchers and public agencies. Microscopic traf c simulation based on the emulation of traf c ows from the dynamics of individual vehicles is becoming one the most attractive approaches. However, traf c simulation still lacks a uni ed treatment. Dozens of papers on theory and applications are published in scienti c journals every year. A search of simulation-related papers and workshops through the proceedings of the last annual TRB meetings would support this assertion, as would a review of the minutes from speci cally dedicated meetings such as the International Symposiums on Traf c Simulation (Yokohama, 2002; Lausanne, 2006; Brisbane, 2008) or the International Workshops on Traf c Modeling and Simulation (Tucson, 2001; Barcelona, 2003; Sedona, 2005; Graz 2008). Yet, the only comprehensive treatment of the subject to be found so far is in the user’s manuals of various software products.
The online, microscopic traffic simulation system OLSIM has to complete this information gap. Viewed under the aspect of the project ... Additionally, it delivers simulation results for all road-segments to the traffic data centre.
Author: Johannes Brügmann
Publisher: Logos Verlag Berlin GmbH
This thesis presents the foundations, the initial state, and the progress made in modelling and implementing a real-world and real-time online microscopic traffic simulation system for highway traffic. To successfully model and implement such a simulation system, this thesis recommends the use of a number of formal methods applied at the right places. As part of the recommendation, this thesis proposes a microscopic traffic simulation system. To explore the feasibility and the potential of the recommended methods, it observes and examines the proposed system from multiple views and under various different aspects. As part of the examination, this thesis provides a (semi-)formal specification, a model implementation, an implementation of a productive system, and the benefits that result from validating such a system. The results and any proper application of them have the potential to increase the reliability and the trustworthiness for any future implementation of the proposed simulation system. The presented results additionally motivate to apply the proposed approach to similar simulation systems. The thesis concludes the presentation of the results with some considerations for future implementations.
Interactive Computer - Graphics User Interface for Traffic Simulation Models ! 1 1 Figure 4. Four network MOE graphs generated. 4. S. Yagar . ... In addition , much of the required input data does not always follow a logical order .
Data structure and architecture are thereby proposed and implemented. A highly open and flexible data structure is presented, along with a compact GIS model for traffic simulation that separates geometry and vehicle movements.
This research intends to design and develop a traffic simulation platform for the purposes of research and education. After briefly reviewing traffic simulation and existing simulation approaches, the general procedure of conducting traffic simulation from the perspective of a transportation researcher is analyzed. With the specific needs in data requirements, modeling, etc. addressed, state-of-the-art software engineering design patterns such as Model-View-Controller, inversion of control, etc. are introduced to support such a simulation platform. Data structure and architecture are thereby proposed and implemented. A highly open and flexible data structure is presented, along with a compact GIS model for traffic simulation that separates geometry and vehicle movements. A plug-in framework that supports such flexibility is devised with the intention to allow user to inject and customize simulation models efficiently. Six algorithmic models are extracted out of generic traffic simulation procedure. They are simulation model, lane-changing model, car-following model, vehicle propagation model, random generation model, and routing model. Each of these models are replaceable plug-in in the platform to execute traffic simulation. Together with two non-parameter attributes functions, dynamic vehicle and driver properties, they consists the core part in running simulation on the platform. TripSim (https://www.github.com/tripsim/trafficsim) are created as reference implementation.
These favorable factors are expected to further improve the quality and accuracy of traffic data collection. ... Therefore, the integrated pedestrian and traffic flow simulation platform built in this chapter and the 3G/4G-LTE ...
Author: Fei Yang
Publisher: Springer Nature
This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.
It would also create possibilities to develop new or enhance existing traffic simulation models. Data concerning all movements, including the driving simulator vehicle's movements, can be gathered. This data can then be used to study, ...
Author: Edward Chung
Publisher: CRC Press
In recent years, the transport simulation of large road networks has become far more rapid and detailed, and many exciting developments in this field have emerged. Within this volume, the authors describe the simulation of automobile, pedestrian, and rail traffic coupled to new applications, such as the embedding of traffic simulation into driving simulators, to give a more realistic environment of driver behavior surrounding the subject vehicle. New approaches to traffic simulation are described, including the hybrid mesoscopic-microscopic model and floor-field agent-based simulation. Written by an invited panel of experts, this book addresses students, engineers, and scholars, as well as anyone who needs a state-of-the-art overview of transport simulation today.