The main objective of this article is to predict the traffic flow for the purpose of urban traffic management. Long term incidents, such as floods, road maintenance or major traffic incidents can cause significant disruptions on the traffic flows in large metropolitan areas such as Sydney. There is a need to comprehend how traffic will be impacted in a city during such an event. One main reason...

Simulation models are mathematical/logical representations of real-world systems. Microscopic traffic simulation models have been playing an important role in traffic engineering and particularly in cases, in which field studies, involving extensive data collection, over a wide range, is difficult or expensive to conduct. As the available simulation models can only replicate homogeneous traffic...

Abstract. The operation of the urban traffic exist a high degree of complexity and randomness. The key of Intelligent Transportation System is the real-time and accurate traffic flow prediction. Taking effective measures in a timely manner would prevent the occurrence of traffic accidents since traffic congestion brings much traffic inconvenience to people. Real-time traffic flow prediction pla...

A promising way to capture the characteristics of changing traffic is to extract significant flow clusters in traffic. However, clustering flows by 5-tuple requires flow matching in huge flow attribute spaces, and thus, is difficult to perform on the fly. We propose an efficient yet flexible flow aggregation technique for monitoring the dynamics of network traffic. Our scheme employs twostage f...

The existing well-known short-term traffic forecasting algorithms require large traffic flow data sets, including information on current traffic scenarios to predict the future traffic conditions. This article proposes a random process traffic volume model that enables estimation and prediction of traffic volume at sites where such large and continuous data sets of traffic condition related inf...

Hypotheses and some results of the three-phase traffic theory by the author are compared with results of the fundamental diagram approach to traffic flow theory. A critical discussion of model results about congested pattern features which have been derived within the fundamental diagram approach to traffic flow theory and modelling is made. The empirical basis of the three-phase traffic theory...

Freeways represent the best example of an unconstrained traffic flow system with high speed operations, limited access and egress opportunities and few factors to inhibit traffic flow. This road type can typically achieve the highest throughput of traffic per hour per lane across most metropolitan networks. As most regular limitations to free flow traffic conditions are removed from freeways, t...

Analyses of eye tracking and think-aloud protocol data were performed to examine novice-expert differences in perceptual and cognitive aspects of air traffic controllers’ situation awareness. In Experiment 1, participants were asked to perceive situations that were manipulated by situation complexity. In Experiment 2, protocol analysis was performed to extract different task models and strategy...

Abstract Background This paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models. The proposed may be applied considering mixed is based on the combination of cell transmission cellular automata. Modelled variables compared against three models, namely Krauß model, intelligent driver automata, two Cell Transmission Model dispersion, respectively. To this end...