0000000000291428
AUTHOR
Juan José Martínez
A Rule-Based Multi-agent System for Road Traffic Management
Road Traffic presents a high dynamism which makes necessary the development of traffic management and control strategies to improve traffic flows and more important, road safety. This dynamism makes necessary the use of intelligent systems to support traffic organizations and road operators to cope with incidents. In this paper we introduce a new expert system to support traffic management when weather problems occur in the road network. The system uses multiagent technology to work with the specific characteristics of traffic domain and is able to work in two modes: a) coordinately, where all the agents works to solve problems in large networks and b) locally where due to communications pr…
Agent-based test-bed for road information systems
Road safety is one of the most important concerns of road authorities. In order to improve road safety, traffic managers develop traffic management and control strategies. The use of advanced traffic management systems is to support road managers in daily traffic management tasks. However, it is important to test in advance, the traffic strategies to evaluate the results and their suitability to the current situation. In this study, a test-bed based on multi-agent is presented. The purpose of this test-bed is to be able to test several traffic information strategies in case of adverse weather situations. It consists in a knowledge model implemented by a set of basic agents. These agents are…
An ontological infrastructure for the automatic control of freight transport
Currently, freight transport carried through a country or through different countries undergoes many delays due to merchandise controls. Merchandise control is only carried out at some border posts or when the authorities demand it. Such control can be an important problem since there are different laws for the same merchandise, according to the legislation of the country and even within the same country. Nowadays there are vocabularies or languages that describe concepts and structures of data related to transport, but the description is just syntactic, not semantic. Therefore the objective to be reached in this part of the research has been to develop a representation scheme of a particul…
A Rule-Based Multi-agent System for Local Traffic Management
Road Traffic presents a high dynamism which makes necessary the development of traffic management and control strategies to improve traffic flows and more important, road safety. So it is needed the use of intelligent systems to support traffic organizations and road operators to cope with incidents. In this paper we introduce a local autonomous system for traffic management. This way, though there could be a breakdown in the communications between the local system and the TCC, the local system will be able to warn the road users in case of incidents. The system uses multiagent technology to work with the specific characteristics of traffic domain. The expert MAS system is ruled-based that …
Automated agent-based system for weather information
Road accidents are well correlated with bad weather conditions. In traffic management, several strategies have been considered in order to reduce this kind of accidents. Weather problems can cause difficult situations for the traffic management decision-makers. They need to analyze and absorb a large quantity of information in order to solve some problems due to bad weather. An automated agent-based system is a good solution to help decision-makers in the management of weather information to road users in relation to traffic conditions.In this paper, a distributed system based in autonomous agents and rules for road weather information has been proposed. Also the detection procedure is expl…
A negotiation protocol to improve long distance truck parking
Proposal of an Architecture to Retrieve Information from Multiple Devices Using Matchmaking Algorithms
Semantic Web services (SWS) propose to extend the traditional Web services technologies on the way to consolidate ontologies and semantics. This makes possible the selection, the integration and the dynamic invocation of services. In this way, services are able to dynamically adapt themselves to changes without human intervention. The main purpose of this paper is to present an algorithm for matching SWS. The algorithm uses the description of the services capabilities to match the semantic values. The traditional matching has been improving using ontologies witch constitutes a step further in the matching algorithms. To implement the algorithm an agent FIPA compliant architecture has been d…
An Autonomic System for Intelligent Truck Parking
Traffic and road transport conditions are strongly influenced by the decisions of drivers. The more information they receive, the better decisions may be taken about their behavior. This is especially important in the transport of goods, since drivers are subject to traffic laws about maximum driving time and minimum time rest. In this paper a multi-agent system for negotiated management of parking spaces in road rest areas is presented. This system dynamically adapts itself to the preferences and needs of the drivers of goods about parking requests. The system is shown to be robust to incidents regarding the closure of road rest areas and an increased volume of freight traffic. The results…
Smart cities technologies applied to sustainable transport. Open data management
One of the objectives of the Smart Cities is the efficient and sustainable use of transport infrastructures. Sustainability is understood as the application of new technologies to minimize the loss of time and energy, and at the same time, to improve the satisfaction of citizens. Achieving this objective calls for making use of the mobility data collected from the existing transport infrastructure and services, as well as from the citizens themselves. After the data collection process, information must be stored (use of open data bases) and made accessible (available) to specialized applications and users. This paper highlights the opportunity to take advantage of emerging technologies, lik…
Forecasting Adverse Weather Situations in the Road Network
Weather is an important factor that affects traffic flow and road safety. Adverse weather situations affect the driving conditions directly; hence, drivers must be informed about the weather conditions downstream to adapt their driving. In the framework of intelligent transport systems, several systems have been developed to know the weather situations and inform drivers. However, these systems do not forecast weather in advance, and they need the support of road operators to inform drivers. This paper presents a new autonomous system to forecast weather conditions in a short time and to give users the information obtained. The system uses a set of algorithms and rules to determine the weat…
A Framework to Evaluate Autonomic Behaviours for Intelligent Truck Parking
This paper presents a multi-agent platform to evaluate different strategies to manage the negotiated management of parking spaces in road rest areas. The system dynamically adapts itself to the preferences and needs of the drivers of goods about parking requests. The system is shown to be robust to incidents regarding the closure of road rest areas and allows a conversational interaction of new parking requests through an Android based mobile application.
Semantic traffic applications based on DatexII
In this work we demonstrate a particular use of ontologies based on the European specifications DATEXII. These specifications are designed and developed as a traffic and travel data exchange mechanism by a European task force to set up and standardise the interface between traffic control and information centres. It is the reference for applications that are developed and implemented in Europe.This language describes concepts and structures of data related to traffic, but the description is just syntactic, not semantic. Therefore the objective to be reached in this part of the research has been to develop a semantic description in order to carry out some applications like syndication and a …
Recomendaciones del Club Español Pancreático para el diagnóstico y tratamiento de la pancreatitis crónica: parte 2 (tratamiento).
Chronic pancreatitis (CP) is a complex disease with a wide spectrum of clinical manifestations ranging from asymptomatic disease to disabling forms or serious complications. The management of CP frequently differs among geographical areas and even among centers. These differences are due to the scarcity of high-quality studies and clinical practice guidelines that focus on the diagnosis and treatment of this disease. The aim of the Spanish Pancreatic Club was to create evidence-based recommendations for the management of CP. Two coordinators chose a multidisciplinary panel of 24 experts in this disease. These experts were selected on the basis of their clinical and research experience in CP…
A multi-agent system for managing adverse weather situations on the road network
The development of traffic management and control strategies to improve traffic flows and road safety is necessary due to the high dynamism of traffic flows. The use of distributed intelligent systems can help the traffic organizations and the road operators to cope with possible incidents on the road network, especially when the incidents are related to adverse meteorological conditions. In that case, the probability of road accidents is increased due to the difficulty of driving under bad weather conditions. So, if the operators detect any meteorological incident, they must decide how to deal with it in order to improve traffic safety. In this paper we introduce a new multiagent system (M…