A new driver behavior model to create realistic urban traffic environment

被引:16
|
作者
Demir, Murat [1 ]
Cavusoglu, Abdullah [2 ]
机构
[1] Gazi Univ, Inst Informat Technol, Ankara, Turkey
[2] YILDIRIM BEYAZIT Univ, Fac Engn & Nat Sci, Ankara, Turkey
关键词
Driver behavior model; Driver training; Hierarchical Concurrent State Machines; Intelligent agents; Agent based simulation; DRIVING EXPERIENCE; NOVICE DRIVERS; SIMULATOR; ROAD; TASK;
D O I
10.1016/j.trf.2012.01.004
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
This paper presents a new driver behavior model, which emulates various driving styles (i.e. behaviors) for different categories of drivers. The model was highly parametric and was developed based on a two-layer Hierarchical Concurrent State Machines (HCSM) programming framework. Our study has been specifically oriented to create a realistic urban traffic environment with hazardous situations typical of real life in a driving simulator, and let the novice drivers to practice in a safe environment. In our study, we used TRAFIKENT driving simulator as a test-bed. Experiments and evaluations demonstrated satisfactory results in terms of behavioral validity of our model. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:289 / 296
页数:8
相关论文
共 50 条
  • [41] Modeling driver behavior on urban streets
    Wang, Ruili
    Liu, Mingzhe
    Kemp, Ray
    Zhou, Min
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2007, 18 (05): : 903 - 916
  • [42] Study on Driver Visual Physiological Characteristics in Urban Traffic
    Wang, Fengyuan
    Li, Min
    Fan, Jieyu
    Pan, Fuquan
    ADVANCES IN MECHANICAL ENGINEERING, 2014,
  • [43] A realistic two-lane traffic model for highway traffic
    Knospe, W
    Santen, L
    Schadschneider, A
    Schreckenberg, M
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2002, 35 (15): : 3369 - 3388
  • [45] Impact of Driver's Behavior on Traffic Flow Using Extended Cellular Automata Model
    Chen, Shiyuan
    Guo, Yutao
    Zhang, Junshan
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014), 2014, : 579 - 587
  • [46] Evaluation of driver behavior and safety at urban mid-block sections under mixed traffic conditions
    Sowjanya
    Santhakumar, S. Moses
    MATERIALS TODAY-PROCEEDINGS, 2021, 47 : 5462 - 5474
  • [47] A rule-based neural network approach to model driver naturalistic behavior in traffic
    Chong, Linsen
    Abbas, Montasir M.
    Flintsch, Alejandra Medina
    Higgs, Bryan
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 32 : 207 - 223
  • [48] A Gaussian Distribution Based Dual-Cognition Driver Behavior Model at Cross Traffic
    Liu, M. -Z.
    Zhao, S. -B.
    Xu, S. -P.
    Liang, L.
    SIXTH INTERNATIONAL CONFERENCE ON NONLINEAR MECHANICS (ICNM-VI), 2013, : 565 - 568
  • [49] TRAFFIC NOISE ANALYSIS IN THE URBAN ENVIRONMENT
    Kholopov, Yuri
    Lukeniuk, Elena
    Musatkina, Bela
    Denisova, Inna
    AKUSTIKA, 2021, 41 : 195 - 199
  • [50] A new lattice model of traffic flow considering driver's anticipation effect of the traffic interruption probability
    Peng, Guanghan
    Kuang, Hua
    Qing, Li
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 507 : 374 - 380