BibSonomy publications for /author/LiuTue Feb 14 04:46:49 CET 2012Transportation Research Part C-emerging Technologies#oct#5-6373--398Using BDI agents to improve driver modelling in a commuter scenario102002INFORMATION The use of multi-agent systems to model and to simulate real systems consisting of intelligent entities capable of autonomously co-operating with each other has emerged as an important field of research. This has been applied to a variety of areas, such as social sciences, engineering, and mathematical and physical theories. In this work, we address the complex task of modelling drivers' behaviour through the use of agent-based techniques. Contemporary traffic systems have experienced considerable changes in the last few years, and the rapid growth of urban areas has challenged scientific and technical communities. Influencing drivers' behaviour appears as an alternative to traditional approaches to cope with the potential problem of traffic congestion, such as the physical modification of road infrastructures and the improvement of control systems. It arises as one of the underlying ideas of intelligent transportation systems. In order to offer a good means to evaluate the impact that exogenous information may exert on drivers' decision making, we propose an extension to an existing microscopic simulation model called Dynamic Route Assignment Combining User Learning and microsimulAtion (DRACULA). In this extension, the traffic domain is viewed as a multi-agent world and drivers are endowed with mental attitudes, which allow rational decisions about route choice and departure time. This work is divided into two main parts. The first part describes the original DRACULA framework and the extension proposed to support our agent-based traffic model. The second part is concerned with the reasoning mechanism of drivers modelled by means of a Beliefs, Desires, and Intentions (BDI) architecture. In this part, we use AgentSpeak(L) to specify commuter scenarios and special emphasis is given to departure time and route choices. This paper contributes in that respect by showing a practical way of representing and assessing drivers' behaviour and the adequacy of using AgentSpeak(L) as a modelling language, as it provides clear and elegant specifications of BDI agents. (C) 2002 Elsevier Science Ltd. All rights reserved.Tue Feb 14 04:46:15 CET 2012Mobile Networks \& Applications#oct#5576--585A-ADHOC: An Adaptive Real-time Distributed MAC Protocol for Vehicular Ad Hoc Networks162011Vehicular Ad Hoc Networks (VANET) are the foundation of Intelligent Traffic System (ITS), and recently many MAC protocols for VANET are proposed, among which a reliable MAC protocol called ADHOC has aroused much attention. By investigating the details of ADHOC protocol, we have discovered several unsolved problems that might lead to network failure. In this paper, we provide a quantitative analysis of the success probability for contending nodes and prove that an adaptive frame length is quite necessary. We propose Adaptive-ADHOC (A-ADHOC) MAC protocol, which implements a robust mechanism supporting the adaptive frame length. Evaluation result shows that A-ADHOC can maintain a high contending success probability and obtain about 50% reduction of response time over original ADHOC protocol, while providing important enhancement on network scalability and robustness.Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine2164-171Using IEEE 1588 and boundary clocks for clock synchronization in telecom networks.492011dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine656-61Toward dynamic energy-efficient operation of cellular network infrastructure.492011dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine828-35i-SNG: A cost-effective live news broadcasting system over heterogeneous wireless networks.492011dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine4120-131Single-element and phased-array transceiver chipsets for 60-ghz Gb/s communications.492011dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine2122-129A 25 Gb/s(/km2) urban wireless network beyond IMT-advanced.492011dblp Mon Feb 13 00:00:00 CET 2012Discrete Mathematics81468-1475Strong edge-coloring for cubic Halin graphs.3122012dblp Mon Feb 13 00:00:00 CET 2012Discrete Mathematics81453-1457Rainbow connection of graphs with diameter 2.3122012dblp Mon Feb 13 00:00:00 CET 2012Discrete Mathematics71386-1391Upper bounds on Roman domination numbers of graphs.3122012dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters5296-298A soft-detector based on multiple symbol detection for double differential modulation.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters6380-382A systematic design of high-rate complex orthogonal space-time block codes.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters4208-210A novel modulation and demodulation technique for the downlink of spread spectrum multipath channels.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters3171-173Frequency offset estimation with fast acquisition in OFDM system.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters6342-344Blind adaptive Kalman filter-based multiuser detector over a multipath fading channel.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters14-6Approaching the capacity of multiple access channels using interleaved low-rate codes.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters3147-149Modeling the effects of ionospheric scintillations on LEO Satellite communications.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters5314-316On evil-twin routing in Clos networks.82004dblp Mon Feb 13 00:00:00 CET 2012JNIT396-105Evaluation of Prefix Hijacking Impact Based on Hinge-Transmit Property of BGP Routing System.12010dblp Mon Feb 13 00:00:00 CET 2012IEEE Geosci. Remote Sensing Lett.2224-227Low-Complexity Compression Method for Hyperspectral Images Based on Distributed Source Coding.92012dblp