Simulation Approaches in Transportation Analysis Recent Advances and Challenges /

SIMULATION APPROACHES IN TRANSPORTATION ANALYSIS: Recent Advances and Challenges focuses on the latest advanced research on modeling as well as applications of transport simulation, including simulation of vehicle movements on the road, dynamic simulation of traffic flow on transport networks, and s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kitamura, Ryuichi (Επιμελητής έκδοσης), Kuwahara, Maso (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Σειρά:Operations Research/Computer Science Interfaces Series, 31
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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/DEBNetS Micro-simulation System: Its Development, Extension, and Application to Demand Forecasting.