JOURNAL ARTICLE

Fast simulation for Road Traffic Network

Roberta Jungblut-HesselBrigitte PlateauWilliam J. StewartBernard Ycart

Year: 2001 Journal:   RAIRO - Operations Research Vol: 35 (2)Pages: 229-250   Publisher: EDP Sciences

Abstract

In this paper we present a method to perform fast simulation of large Markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach.

Keywords:
Uniformization (probability theory) Computer science Modularity (biology) Markov chain Markov process Network traffic simulation Traffic network Traffic simulation Event (particle physics) Traffic generation model Distributed computing Markov model Simulation Real-time computing Microsimulation Transport engineering Markov property Machine learning Engineering Computer network Mathematics Network traffic control

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.12
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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