Analysis of rumble strips and driver fatigue using traffic simulation

被引:0
|
作者
Tapani, A. [1 ]
机构
[1] Swedish National Road and Transport Research Institute (VTI), Linköping University, Department of Science and Technology (ITN) VTI, SE-581 95, Linköping, Sweden
来源
关键词
ADAS - Collision avoidance systems - Development stages - Milled rumble strips - Rumble strips - Simulation framework - System effects - Traffic simulations;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:69 / 80
相关论文
共 50 条
  • [31] Analysis of Driver Behavior Based on Traffic Incidents for Driver Monitor Systems
    Miyaji, Masahiro
    Danno, Mikio
    Oguri, Koji
    2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2008, : 31 - +
  • [32] Traffic operation analysis for underground and ground roads using microscopic traffic simulation
    Yang, Choong Heon
    Park, Sang Hyun
    Kim, Jin Guk
    Lee, Jin Kak
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (11): : 1071 - 1082
  • [33] Extraction of driver behavior information from traffic video to support microscopic traffic simulation
    Chachich, A
    Hasan, M
    Cuneo, D
    INTELLIGENT TRANSPORTATION SYSTEMS, 1998, 3207 : 107 - 117
  • [34] Predicting traffic congestion using driver behavior
    Ito, Toshio
    Kaneyasu, Ryohei
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 : 1288 - 1297
  • [35] Analysis of Driver Gaze and Attention to Traffic Signs
    Shabani, Shabnam
    Beauchemin, Steven
    Bauer, Michael
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [36] A smart analysis of driver fatigue and drowsiness detection using convolutional neural networks
    Minhas, Abid Ali
    Jabbar, Sohail
    Farhan, Muhammad
    ul Islam, Muhammad Najam
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (19) : 26969 - 26986
  • [37] Analysis of driver task-related fatigue using driving simulator experiments
    Rossi, Riccardo
    Gastaldi, Massimiliano
    Gecchele, Gregorio
    STATE OF THE ART IN THE EUROPEAN QUANTITATIVE ORIENTED TRANSPORTATION AND LOGISTICS RESEARCH, 2011: 14TH EURO WORKING GROUP ON TRANSPORTATION & 26TH MINI EURO CONFERENCE & 1ST EUROPEAN SCIENTIFIC CONFERENCE ON AIR TRANSPORT, 2011, 20
  • [38] A smart analysis of driver fatigue and drowsiness detection using convolutional neural networks
    Abid Ali Minhas
    Sohail Jabbar
    Muhammad Farhan
    Muhammad Najam ul Islam
    Multimedia Tools and Applications, 2022, 81 : 26969 - 26986
  • [39] Driver fatigue detection using a genetic algorithm
    Jin, Shanshan
    Park, So-Youn
    Lee, Ju-Jang
    ARTIFICIAL LIFE AND ROBOTICS, 2007, 11 (01) : 87 - 90
  • [40] Predict Driver Fatigue Using Facial Features
    Berkati, Oussama
    Srifi, Mohamed Nabil
    2018 INTERNATIONAL SYMPOSIUM ON ADVANCED ELECTRICAL AND COMMUNICATION TECHNOLOGIES (ISAECT), 2018,