Stanisław Iwan

Development of Cellular Automata for Simulation of the Crossroads Model with a Traffic Detection System

Cellular automata are considered by some researchers as one of the computer science areas, which is an artificial intelligence. Even though their history goes back to the forties of the last century, much attention is still paid to the use of cellular automata in the process of testing and simulation of different phenomena. The universality of cellular automata led to their application in many areas such as: physics and traffic modeling. The authors present the achievements in the traffic modeling field and formulate a new traffic model. This new model helps to simulate the traffic at the crossroads of two-lane and two-way roads. In addition, the authors present some aspects of the prepared system, which enables to model any area (intersections and roads) and to carry out the traffic simulations in a microscopic scale.

Comparative Analysis of Selected Algorithms in the Process of Optimization of Traffic Lights

Optimal settings of traffic lights and traffic light cycles are important tasks of modeling a modern ordered traffic in smart cities. This article analyzes the comparative effectiveness of selected optimization algorithms for the identified area. In particular, it involves the comparison of the concepts of genetic algorithm using particle swarm optimization, the differential evolution and the Monte Carlo method with two new approaches: evolution strategy involving the adaptation of the covariance matrix and topology archipelago consisting of four islands - different algorithms to optimize the length of the phase in fixed time traffic signals. Developed simulation solutions allowed to achieve a quantitative improvement in the selection of the optimal durations of the phases of traffic lights for the tested roads with junctions.

Analysis of Data Needs and Having for the Integrated Urban Freight Transport Management System

One of the key factors necessary for controlling the increasing disorder in the area of urban freight transport and conditioning its sustainable growth is ensuring effective data flows between individual parties engaged, to a smaller or greater extent, in its functioning. Lack of knowledge regarding cargo streams and their direction, structure etc. makes it difficult to control and manage them so as to limit their negative impact on the city organism, particularly on the environment and inhabitants. Additionally, development of information society and continuous digitalisation of different areas of life make it necessary to get control over the data resources regarding urban freight transport, as it is becoming indispensable for its correct functioning. This paper is focused on determining the structures of data relevant for the functioning of sustainable urban freight transport, and establishing the sources of data acquisition.

Impact of Telematics on Efficiency of Urban Freight Transport

The need for telematics solutions to support goods transport and distribution in urban areas is mainly due to the complexity of the processes in urban transport systems and the often conflicting expectations of different groups of road users and other stakeholders of urban freight transport (city administrators, residents, traders, hauliers, etc.). The main objective is optimisation of the freight transport by ensuring adequate availability of the linear and point transport infrastructure, while reducing the negative impact of the transport system on the environment. The usability of the telematics in urban freight transport is manifested by reduced freight distribution costs as well as by increased capacity of urban freight systems. This paper is focused on the key areas of telematics influence on the functioning of urban freight transport systems, as well as its influence on the systems efficiency. The chosen good practices were used for this purpose.

Data Flows in an Integrated Urban Freight Transport Telematic System

The fast growth of cities as well as the increasing complexity of processes taking place within them forces changes in planning and managing them. One of the key factors necessary for controlling the increasing disorder in the area of urban freight transport and conditioning its sustainable growth is ensuring effective data flows between individual parties engaged, to a smaller or greater extent, in its functioning. This paper is focused on assumptions and analysis of data sources for integrated UFT management systems supported by telematics systems.

Utilization of Mobile Applications for the Improvement of Traffic Management Systems

In recent years, the utilization of telematics systems using the concept of Cloud Computing still increases. Also mobile phones have ceased to be the tools for conversation only. Additionally, the proliferation of new devices, such as smartphones and tablets, makes such solutions become even more useful. The paper is focused on utilization of mobile devices to assist traffic control systems. The application designed for Android, which is used for the presentation of the content of the traffic control system in Szczecin is introduced. The paper shows the concept of it, the method of its preparation and the results of experiments that demonstrate the usability of the tool in the context of reducing the negative environmental impact of the transport system.

Data Flows in Urban Freight Transport Management System

The fast growth of cities and the rising number of their users leads to an increase in demand for freight transport, thus contributing to an increase in logistic flow streams within a limited area. Currently, freight transport is usually done in an uncoordinated and chaotic manner. Specifying the information needs in the field of urban freight transport (UFT) will make it possible to take control over the increasing disorder in this area and enable its development in accordance with the principles of sustainable growth. This paper is focused on the analysis realized under the project “Analysis of information needs of heterogeneous environment in sustainable urban freight transport system”. The aim of the project is to determine the structures of data relevant for the management of sustainable UFT, establish the sources of data acquisition, the scope and degree of integration, and also indicate the methods of knowledge extraction from the acquired data and information, necessary for improving freight transport efficiency in cities.

Analysis of Fleet Management Systems as Solutions Supporting the Optimization of Urban Freight Transport

Fleet Management Systems (FMS) allows to manage a significant amount of spatially distributed objects, providing real-time information about its status and location, as well as information about the environment in which they are located. The amount of information that contemporary FMS can provide to decision makers is enormous and allows for a significant facilitation of transport optimization processes. This means that these systems can be an important support also for the implementation of tasks related to the operation of urban freight transport. The main problem, however, is the selection of the right tool among the many available on the market. The paper uses elements of the analytical hierarchy process (AHP) to evaluate selected Fleet Management Systems from the perspective of the end-user’s needs, with particular emphasis on increasing the time and economic efficiency of the management process.

Implementation of Telematics-based Good Practices to Support Urban Freight Transport Systems, Applying a City's Adaptability Level

Problems associated with inefficient goods transport and distribution in urban areas is gaining more and more importance resulting in the need to search for methods and techniques that enable effective implementation of measures (solutions) aimed at streamlining and optimising urban freight transport systems. Most of the measures are less or more dependent on application of telematics tools which makes the implementation processes very difficult. Subsequently the basis of many practical implementations is the adaptive approach that focuses on good practice. In these cases, the adaptability level of the implemented measures is usually considered. This paper presents a method which expands this approach with the idea of adaptability of the city as the environment where it will be implemented. The method presented makes it possible to implement good practice in the area of urban freight transport by applying a city adaptability index.

Evaluating a city's level of adaptability to urban freight transport good practices implementation, applying the Adaptability index

In view of the fast growth of cities combined with the growing needs of city dwellers, the problem of efficient functioning of goods transport and distribution in urban areas is gaining more and more importance. It results in the need to search for methods and techniques that enable effective implementation of measures (solutions) aimed at streamlining and optimising urban freight transport systems. The basis of many practical implementations is the adaptive approach focused on good practices. Usually in these cases the adaptability level of the implemented measures is taking to the account. This paper is focused on the proposal of a method which expand this approach with the adaptability of the city as the environment of implementation. Proposed method makes it possible to implement good practices in the area of urban freight transport on the basis of the city adaptability level assessment by the utilization of the authors indicator named Adaptability Index.