A multilevel interface for an intelligent transport system
ABSTRACT Aim of this work is to present a metaphor based multilevel interface for an Intelligent Transport System (ITS) designed to handle the transport of hazardous materials. This ITS was developed by the authors in the framework of a research project funded by Apulia Region (Italy). Starting from monitoring some parameters of a vehicle in motion such as position, speed, load balancing, stress conditions, etc., this system identifies various situations such as driver's behavior, hazardous conditions, and so on. In order to represent this information, the authors propose a multi level metaphor based graphic user interface (GUI). The first level of the interface allows for a rapid system view at a glance and is oriented to unskilled users while the second level reports more detailed information for the expert users.
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ABSTRACT: Vehicles are nowadays provided with a variety of new sensors capable of gathering information about themselves and from their surroundings. In a near future, these vehicles will also be capable of sharing all the harvested information, with the surrounding environment and among nearby vehicles over smart wireless links. They will also be able to connect with emergency services in case of accidents. Hence, distributed applications based on Vehicular Networks (VNs) will need to agree on a ‘common understanding’ of context for interoperability, and, therefore, it is necessary to create a standard structure which enables data interoperability among all the different entities involved in transportation systems. In this paper, we focus on traffic safety applications; specifically, we present the VEhicular ACcident ONtology (VEACON) designed to improve traffic safety. Our ontology combines the information collected when an accident occurs, and the data available in the General Estimates System (GES) accidents database. We assess the reliability of our proposal using both realistic crash tests, held in the facilities of Applus+ IDIADA in Tarragona, Spain, and Vehicular Network simulations, based on the ns-2 simulation tool. Experimental results highlight that both nearby vehicles and infrastructure elements (RSUs) are correctly notified about an accident in just a few seconds, increasing the emergency services notification effectiveness.Journal of Network and Computer Applications 01/2012; · 1.47 Impact Factor
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ABSTRACT: Focus of this paper is to present an ITS used to certificate the correctness of vehicle activities. Due to the growing importance of transport system for the sustainability of the human society development, nowadays various intelligent transport systems (ITS) have been developed. In this work flexible ITS designed to handle various aspects of the hazardous material transport is presented. This system is able to monitor some vehicle's activities starting from the measurement of parameters such as accelerations, positions, etc. A fuzzy inference system (FIS) was implemented to test the possibility of using the proposed system as a certifier of the correctness of these activities. In particular, the loading and unloading activity of a vehicle fleet used for the rubbish collection was monitored. The proposed system was developed and tested in the framework of a research project funded by Apulia Region (Italy).Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE; 06/2010
Conference Paper: CAOVA: A Car Accident Ontology for VANETs[Show abstract] [Hide abstract]
ABSTRACT: In a near future, vehicles will be provided with a variety of new sensors capable of gathering information from their surroundings. These vehicles will also be capable of sharing the harvested information via Vehicular Ad hoc NETworks (VANETs) with nearby vehicles, or with the emergency services in case of an accident. Hence, distributed applications based on VANETs will need to agree on a ‘common understanding’ of context for interoperability, and therefore, it is necessary to create a standard structure which enables data interoperability among all the different entities involved in transportation systems. In this paper, we focus on traffic safety; specifically, we present a Car Accident lightweight Ontology for VANETs (CAOVA). The instances of our ontology are filled with: (i) the information collected when an accident occurs, and (ii) the data available in the General Estimates System (GES) accidents database. We assess the reliability of our proposal in two different ways: one via realistic crash tests, and the other one using a network simulation framework.IEEE Wireless Communications and Networking Conference (WCNC); 04/2012