Academic journal article Economics, Management and Financial Markets

The Implementation of Intelligent Transportation Systems in Romania. a European Union Perspective

Academic journal article Economics, Management and Financial Markets

The Implementation of Intelligent Transportation Systems in Romania. a European Union Perspective

Article excerpt

ABSTRACT.

The implementation of Intelligent Systems in sectors like transportation and logistics is analyzed in this paper starting from a comparative European study with the aim to help improve the efficiency of these sectors. Together with IT (information technology), traffic and logistics are important implements among the intelligent systems when referring to building a sustainable world development. This is the result of the fast evolution of technology, the increasing need of heightening communication, the high pressure for strengthening the networks inside and outside their own hubs and clusters. We do consider here hubs and clusters as other vivid in-networks with proper energy and movement. Such dynamic processes generate greater autonomy challenges together with the natural need of minimizing the energy that each integrated assembly uses to satisfy customers in a personalized way. This approach may meld artificial intelligence, robotics, environment protection, goods and passengers' safety and time saving. Important gaps identified in the way I.S. (intelligent systems) are understood and implemented will be discussed here in response to complement the European Union's recommendations.

JEL codes: L91; 018; M14; 031

Keywords: Intelligent Systems (I.S.); transportation; logistics; networks

1. Introduction

The complex and dynamic approaches of the current researches play as new tools to both scientists and practitioners in analyzing the society and its market in order to change them (Costea, 2005). As known, all phenomena are complex and linked to resources, people, ideas, technologies and processes.

During the last decade, the effects of delocalization and reverse migration created strong pressures on all types of systems; nevertheless, the most dynamics remained the transportation and its allocated logistics networks. That demonstrates their importance and opened their study as vivid intelligent networks, processes and systems. The transportation and logistics networks most bridge the knowledge and link it to traffic congestions influencing the quality, efficiency and safety standards, generating increase consumption of fuel, cause higher pollution and stress (increased C02).

In the field of transportation, more than ever, the development processes multiply consequences at economic and societal levels; they impose certain discoveries sustaining people and companies satisfaction by:

-the diversification of the logistics systems and

-the implementation of artificial intelligence, robotics and standardization in all fields and stages (Want, 2004).

During the 1800's most systems and networks were mainly connected to transportation of goods and people; they looked rudimentary and took place by boat, train and auto (only a small part of the society could afford such a mean of transport).

Nowadays, the systems paradigm changed while the systems theory comprehends the complex and the vivid, the dynamic and the entropie.

According to the actual knowledge, the intelligent systems serve users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on wide applications (Costea, 2005).

Two forces are driving the need for intelligence in business, yet those forces often work at odds to each other. The first one is the transactional data increment brought by the increase in information systems. More and more data generated by the computer systems, gather the amount of information recorded and processed. However, more data does not mean more information and deeper insights.

The second force at work is to understand sustainable development and robust business closer to the societal needs - and express it in financial results and turnover as key performance indicators. Thus a new design of systems architectures, flexible to change, could provide more adaptable solutions. …

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