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3 Archives of Transport System Telematics

3 2012

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The management system of detours in urban areas

Piwowarczyk P., Ryguła A., Konior W.

Archives of Transport System Telematics

2012

Vol. 5, iss. 3

24-26

This article presents a concept of detour management system for the traffic flow that run through congested areas of the urban agglomerations. This system, using the wide range of the ITS devices, allows to judge the current traffic conditions on the highly urbanized areas and, on the basis of the received data, direct the traffic on the alternative routes, by means of an active traffic information system.

Self-organizing urban traffic control based on fuzzy cellular model

Płaczek B.

Archives of Transport System Telematics

2012

Vol. 5, iss. 1

29-34

The paper introduces a self-organizing traffic signal system for an urban road network. In the presented system, the traffic control decisions are made on the basis of predictions that are obtained from a fuzzy cellular traffic model. The fuzzy cellular model represents traffic streams at the microscopic level. Therefore it can directly map parameters of individual vehicles and the vehicle classes can be taken into account in making the control decisions.Simulation experiments were performed to compare the performance of the self-organizing traffic control for twoscenarios: first, when the class of vehicles is taken into account and second, when the information on the vehicle class is unavailable. Results of the simulations allow us to explore the possibility of performance enhancement of the urban traffic control through the utilisation of microscopic traffic models and vehicle classification systems.

Comparison by simulation of different approaches to the urban traffic control

Prikryl J., Tichy T., Belinova Z., Kapitan J.

Archives of Transport System Telematics

2012

Vol. 5, iss. 4

26-30

As the urban traffic volumes reach their daily peak values, the surface traffic in modern cities suffers from frequent breakdowns and traffic jams. One of possibilities that could mitigate the problem is the deployment of smarter automatic systems of urban traffic control. Our paper demonstrates a development version of such a system. The system is based on adaptive feedback control approach. It makes use of filtering techniques to account for measurement imperfections and implements the rolling horizon method for optimal signal control. We compare the performance of the proposed system with two typical control approaches - pre-timed (or fixed) control, and traffic actuated (or dynamic) control. Different scenarios will be compared, including rapid changes in traffic volumes and reactions to incidents. The comparison is carried out using our demonstrator tool, based on TSS Aimsun micro-simulator. In order to keep the calibrated simulation as close to reality as possible, in the comparison runs we use real dense input volume measurements and simulate also the behavior of intersection controllers.