Infomobility for "Car-Driver" Systems: Reference Model and Case Study

被引:0
|
作者
Smirnov, Alexander [1 ,2 ]
Kashevnik, Alexey [1 ]
Shilov, Nikolay [1 ]
机构
[1] SPIIRAS, St Petersburg 199178, Russia
[2] Univ ITMO, St Petersburg 197101, Russia
关键词
cyber-physical system; infomobility; context-aware decision support; tourist trip planning & scheduling;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The proposed approach to infomobility is based on the concepts of cyber physical system and context-aware decision support. The "car-driver" system is considered as a collaborative cyber-physical system. Its dynamic nature is addressed via the context management technology. The context is modeled as a "problem situation." It specifies domain knowledge describing the situation and problems to be solved in this situation. An application of these ideas is illustrated by an example of decision support for tourists travelling by car. In this example, the proposed system generates ad hoc travel plans and assists tourists in planning their attraction attending times depending on the context information about the current situation in the region and its foreseen development.
引用
收藏
页码:739 / 748
页数:10
相关论文
共 50 条
  • [1] Multimodal contextual car-driver interface
    Siewiorek, D
    Smailagic, A
    Hornyak, M
    FOURTH IEEE INTERNATIONAL CONFERENCE ON MULTIMODAL INTERFACES, PROCEEDINGS, 2002, : 367 - 373
  • [2] Car-driver models for manual and automated travel
    Kourjanski, M
    Broucke, M
    Skabardonis, A
    Varaiya, P
    TRANSPORTATION SYSTEMS 1997, VOLS 1-3, 1997, : 53 - 58
  • [3] AN ADAPTIVE-CONTROL MODEL OF A CAR-DRIVER AND COMPUTER-SIMULATION OF THE CLOSED-LOOP SYSTEM
    NAGAI, M
    MITSCHKE, M
    VEHICLE SYSTEM DYNAMICS, 1988, 17 : 275 - 286
  • [4] Car-Driver Drowsiness Monitoring by Multi-layers Deep Learning Framework and Motion Analysis
    Rundo, Francesco
    Conoci, Sabrina
    Trenta, Francesca
    Battiato, Sebastiano
    SENSORS AND MICROSYSTEMS, AISEM 2019, 2020, 629 : 169 - 175
  • [5] Driver Assistant in Automotive Socio-cyberphysical System Reference Model and Case Study
    Smirnov, Alexander
    Kashevnik, Alexey
    Shilov, Nikolay
    Lashkov, Igor
    VEHITS: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2016, : 104 - 111
  • [6] In-Car Dictation and Driver's Distraction: A Case Study
    Labsky, Martin
    Macek, Tomas
    Kleindienst, Jan
    Quast, Holger
    Couvreur, Christophe
    HUMAN-COMPUTER INTERACTION: TOWARDS MOBILE AND INTELLIGENT INTERACTION ENVIRONMENTS, PT III, 2011, 6763 : 418 - 425
  • [7] Bifurcation analysis of a car and driver model
    Della Rossa, Fabio
    Gobbi, Massimiliano
    Mastinu, Gianpiero
    Piccardi, Carlo
    Previati, Giorgio
    VEHICLE SYSTEM DYNAMICS, 2014, 52 : 142 - 156
  • [8] Deep LSTM with Dynamic Time Warping Processing Framework: A Novel Advanced Algorithm with Biosensor System for an Efficient Car-Driver Recognition
    Rundo, Francesco
    ELECTRONICS, 2020, 9 (04)
  • [9] Advanced Motion-Tracking System with Multi-Layers Deep Learning Framework for Innovative Car-Driver Drowsiness Monitoring
    Trenta, Francesca
    Conoci, Sabrina
    Rundo, Francesco
    Battiato, Sebastiano
    2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019), 2019, : 673 - 677
  • [10] Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring
    Rundo, Francesco
    Spampinato, Concetto
    Battiato, Sebastiano
    Trenta, Francesca
    Conoci, Sabrina
    2020 AEIT INTERNATIONAL CONFERENCE OF ELECTRICAL AND ELECTRONIC TECHNOLOGIES FOR AUTOMOTIVE (AEIT AUTOMOTIVE), 2020,