Pavel Pribyl

Real-time travel time estimation on highways using loop detector data and license plate recognition

This paper presents a time travel estimation model based on a decision tree. The proposed model was tested on the most widely used arterial in Prague and also in the Czech Republic. This road section has many unmeasured inputs and outputs and with regards to only two detectors within a section it is difficult to estimate the travel time. A temporary installation of ALPR system is used for training the decision tree model which consequently provides reliable travel time estimation.

Mining data from induct loops

The complicated traffic situation in Prague is not only due to a rise of the number of cars in the last few years, but also due to historical formed streets which are not able to fully satisfy present traffic performances. Also the ratio of motorization is higher here than, for example, in Vienna or Cologne. Using standard methods cannot solve the enormous traffic problems - a new approach should be used. The traffic control in an area of Prague discussed in this paper is based on an adaptive control MOTION. Often, the level of service (LOS) in this area is on the threshold of saturation when the control system cannot significantly improve the situation. For this reason it has to be supported by another system, which provides information about the current traffic conditions to drivers and together create a hybrid traffic management system. Variable message signs (VMS) are used to distribute this information. This paper describes the way how information about LOS can be collected from the induct loops and distributed to the VMS. Most attention is paid to an automated mining of data from detectors. The algorithm used is based on clustering using genetic algorithms.

Definition of a smart street as smart city's building element

Smart city covers a wide range of topics. In this paper, we introduce a basic building block able to address already on a fundamental infrastructural level several of the key user functions of a smart city. This is done on a scale that can be rather easily managed. So called “smart street” is defined and introduced as a basic building block for any smart city architecture. It does not focus on transportation only (for example through signal control and management), it covers also other aspects, such as data connectivity, safety of citizens, energy consumption and many others.

Domain-oriented ontology for ITS systems

This paper describes a way to better navigate in an ever increasing number of standards in the field of ITS. Short overview about fundamental ITS models is presented, the principle of related knowledge system is described. Ontology approach is used, especially as domain oriented ITS ontology, where a new hybrid method is explained.

Smart charles square: Modeling interconnections of basic building blocks in smart cities

One of the basic ideas in the field of smart cities is interconnectivity. Proposed solutions must put together solutions from different fields (sensors, transportation, economy, legislation, energy, IT and many others) and integrate them in order to serve the citizens needs and to ensure sustainability. Additionally this is not done once by buying certain technological tools, but it must be an ongoing process. Thus, not only technological view, but also social aspects must be integrated into services aiming on improvement of the quality of life and sustainability. This is in general a very difficult task, not addressed well by existing methodologies or real world projects. In this paper, we propose a solution to this problem. First, we propose an alternate way of demonstrating the expected outcome of a solution for smart cities. It aims at addressing scenarios from the perspective of the end users rather than “just” providing an overview of technology and its capabilities as it is mainly done in the technological companies serving as a solution provider. While this is a small change, it has big effect from the customer (municipality) perspective as they can better support the effects on the end users. Second, this paper demonstrates SMACEF — SMArt City Evaluation Framework. This is a modeling tool suitable for evaluation of Smart City Initiatives. On an example of an important square (Charles Square) in Prague, the capital city of the Czech republic, certain buildings blocks, and their interconnections and the possible effects are discussed.

Analysis of possibility to utilize road marking for the needs of autonomous vehicles

An important part of the smart cities of the future are surely autonomous vehicles as they have a direct effect on the quality of life of its citizens. The possibility of deployment driverless vehicles introduces not only possible improvement of safety due to limitation of human errors, but also a potential utilization of unoccupied cars. This paper describes principles of operating and applicability of one of the technologies allowing the operation of autonomous cars - the Lane Assistant System (LAS) in conditions of the Czech Republic. The properties of road markings on road network were measured on the D5 motorway. Furthermore this information were compared with the data acquired from CAN bus about activation and parameters of LAS in an instrumented vehicle. Finally, suitability analysis was performed to estimate future applicability of such system on the tested roads.

On the estimation of pollutants in road tunnels based on traffic data

This paper focuses on an important topic - estimation and prediction of pollutants in road tunnels as an input for ventilation control systems. It demonstrates that using estimated pollutants level computed from traffic data is not only possible, but even introduces diverse advantages. Next to the ability to predict future values of the pollutants level, lower investment costs (installation of rather costly pollution sensors is not needed any more) and lower maintenance costs (minimizing costly turning on and off of the ventilation system) must be mentioned. Two different methods based on regression models and decision trees are presented and their results compared in this paper. The developed models were evaluated on data from tunnel Mrazovka located on the Prague city ring. The results clearly confirm the suitability of the proposed solution for given task.

Knowledge Based Decision Support System of ITS Standards Deployment

Successful implementation of ITS standards in praxis can be the engine for economic development. The biggest obstacle for deployment of ITS standards in praxis is their volume and high specialization. The project STANDARD shows that there it is possible to reduce a number of pages of standards without significant loss of content. Standards are transformed into extracts according strictly methodology. This idea is viable and brings significant effect in the form of a decision support system for a wide spectrum of users.