Ryuichi Kitamura & Masao Kuwahara 
Simulation Approaches in Transportation Analysis [PDF ebook] 
Recent Advances and Challenges

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Simulation Approaches in Transportation Analysis: Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people’s movement in an urban area. It offers a collection of the major simulation models that are now in use throughout the world; it illustrates each model in detail, examines potential problems, and points to directions for future development. The reader will be able to understand the functioning, applicability, and usefulness of advanced transport simulation models. The material in this book will be of wide use to graduate students and practitioners as well as researchers in the transportation engineering and planning fields.

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Table des matières

Simulation Models and Their Application: State of the Art.- Application of a Simulation-Based Dynamic Traffic Assignment Model.- The DRACULA Dynamic Network Microsimulation Model.- Dynamic Network Simulation with AIMSUN.- Microscopic Traffic Simulation: Models and Application.- Applications of Transport Simulation.- The Art of the Utilization of Traffic Simulation Models: How Do We Make Them Reliable Tools?.- Absorbing Markov Process OD Estimation and a Transportation Network Simulation Model.- Simulating Travel Behaviour using Location Positioning Data Collected with A Mobile Phone System.- Representing Traffic Dynamics.- Simulation of the Autobahn Traffic in North Rhine-Westphalia.- Data And Parking Simulation Models.- Saga of Traffic Simulation Models in Japan.- A Study on Feasibility of Integrating Probe Vehicle Data into A Traffic State Estimation Problem using Simulated Data.- Representing User Behavior.- Consistency of Traffic Simulation and Travel Behaviour Choice Theory.- Driver’s Route Choice Behavior and its Implications on Network Simulation and Traffic Assignment.- An Overview of PCATS/DEBNet S Micro-simulation System: Its Development, Extension, and Application to Demand Forecasting.

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Langue Anglais ● Format PDF ● Pages 399 ● ISBN 9780387241098 ● Taille du fichier 30.3 MB ● Éditeur Ryuichi Kitamura & Masao Kuwahara ● Maison d’édition Springer US ● Lieu NY ● Pays US ● Publié 2006 ● Téléchargeable 24 mois ● Devise EUR ● ID 2144038 ● Protection contre la copie DRM sociale

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