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IMPORTANCE OF SIMULATION IN TRAFFIC FLOW BEHAVIOUR ANALYSIS, SURVEILLANCE AND TRAFFIC CONTROL

Milorad J. Stanojević

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Abstract

The paper discusses methods of traffic flow modelling. The use of stochastic simulation for traffic flow modelling, based on microscopic modelling, is described. The importance of simulation in the investigation of traffic flow, surveillance and traffic control is stressed. The paper presents an algorithm for the prediction of traffic space, speed and traffic flow density. It also presents a stochastic freeway merging simulation model of traffic flow based on digital simulation of event scanning. The results are illustrated. (TRRL)

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What this paper is about

The paper discusses methods of traffic flow modelling. The use of stochastic simulation for traffic flow modelling, based on microscopic modelling, is described. The importance of simulation in the investigation of traffic flow, surveillance and traffic control is stressed. The paper presents an algorithm for the prediction of traffic space, speed and traffic flow density. It also presents a stochastic freeway merging simulation model of traffic flow based on digital simulation of event scanning. The results are illustrated. (TRRL)

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Available abstract

The paper discusses methods of traffic flow modelling. The use of stochastic simulation for traffic flow modelling, based on microscopic modelling, is described. The importance of simulation in the investigation of traffic flow, surveillance and traffic control is stressed. The paper presents an algorithm for the prediction of traffic space, speed and traffic flow density. It also presents a stochastic freeway merging simulation model of traffic flow based on digital simulation of event scanning. The results are illustrated. (TRRL)

Key concepts: Traffic flow (computer networking), Network traffic simulation, Traffic simulation, Microscopic traffic flow model, Traffic congestion reconstruction with Kerner's three-phase theory, Computer science, Traffic generation model, Simulation

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