A warning system for assisting drivers during overtaking maneuvers is proposed. The system relies on Car-2-Car communication technologies and multi-agent systems. A protocol for safety overtaking is proposed based on ACL communicative acts. The mathematical model for safety overtaking used Kalman filter to minimize localization error.
Vehicular agents are empowered with domain knowledge and they can perform geospatial and temporal reasoning in @cite_10 . An ontology for the vehicular network domain has been developed for supporting agents reasoning in vanet-based cooperative applications @cite_10 . A different line of research @cite_14 is based on mobile agents and norm-aware agents. In this paper, we assume communication through vanet technologies, aiming to be consistent with the IEEE802.11p standard. A trust model in @cite_17 employs a penalty in case of misleading reports. Experiments with altruist selfish agents in vanets @cite_6 shown that average speed increased when the vehicular agents cooperate. A vanet-based emergency vehicle warning system has been developed in @cite_12 . In line with @cite_16 which argue on semantic exchange of mobility data and knowledge among moving objects, we will take a step towards formalizing vehicular-related knowledge and semantic interchange of events.
@cite_14 @cite_6 @cite_16 @cite_10 @cite_12 @cite_17
2023996483 2885171760 2018425507 2305409997
This paper deals with the integration of agent technology in the emerging field of vehicular networks. The agents are empowered with domain knowledge and they can perform geospatial and temporal reasoning. For the domain knowledge we developed a vehicular network ontology. The geospatial reasoning is performed with AllegroGraph, while event reasoning in RacerPro. The vehicle overtaking scenario is used to exemplify our solution. A Vehicular Ad hoc NETwork (VANET) is a self-organized network, formed by vehicles and some fixed equipment on roads called Roads Side Units (RSUs). Vehicular communications are expected to share different kinds of information between vehicles and infrastructure. Because of these specifications, securing VANET constitutes a difficult and challenging task that has attracted the interest of many researchers. In a previous work, we proposed a Clustering Mechanism for VANET (CMV) and its inherit Trust management scheme (TCMV) to ensure security of communication among vehicles. CMV organizes vehicles into clusters and elected Cluster Heads (CHs), and allows the clusters maintenance while dealing with velocity. On the other side, TCMV computes the credibility of the message by CH using the reputation of vehicles. However, we found that the value of credibility of the message by CH is not enough to verify if an exchanged message is correct or no. In order to provide a secured vehicle communication and to build reliance communication among vehicles, we propose a distributive trust management scheme for VANET to verify the correctness of the message based on the controlling of the vehicle'behavior by a miner and the credibility of message by a CH. In this paper we introduce a multi-faceted trust model of use for the application of ad-hoc vehicular networks (VANETs) – scenarios where agents representing drivers exchange information with other drivers regarding road and traffic conditions. We argue that there is a need to model trust in various dimensions and that combining these elements effectively can assist agents in making transportation decisions. We then introduce two new elements to our proposed model: i) distinguishing direct and indirect reports that are shared ii) employing a penalty for misleading reports, to promote honesty. We demonstrate how these two elements together serve to increase the value of the trust model, through a series of experiments of simulated traffic. In brief, we present a framework to facilitate the effective sharing of information in VANET environments between agents representing the vehicles. Vehicular ad hoc networks (VANETs) have the potential to transform the way people travel through the creation of a safe interoperable wireless communications network that includes cars, buses, traffic signals, cell phones, and other devices. However, VANETs are vulnerable to security threats due to increasing reliance on communication, computing, and control technologies. The unique security and privacy challenges posed by VANETs include integrity (data trust), confidentiality, nonrepudiation, access control, real-time operational constraints demands, availability, and privacy protection. The trustworthiness of VANETs could be improved by addressing holistically both data trust, which is defined as the assessment of whether or not and to what extent the reported traffic data are trustworthy, and node trust, which is defined as how trustworthy the nodes in VANETs are. In this paper, an attack-resistant trust management scheme (ART) is proposed for VANETs that is able to detect and cope with malicious attacks and also evaluate the trustworthiness of both data and mobile nodes in VANETs. Specially, data trust is evaluated based on the data sensed and collected from multiple vehicles; node trust is assessed in two dimensions, i.e., functional trust and recommendation trust, which indicate how likely a node can fulfill its functionality and how trustworthy the recommendations from a node for other nodes will be, respectively. The effectiveness and efficiency of the proposed ART scheme is validated through extensive experiments. The proposed trust management theme is applicable to a wide range of VANET applications to improve traffic safety, mobility, and environmental protection with enhanced trustworthiness.