Locomotive Driving Simulator for Multi-objective Train Operation and Movement

被引：0
|
作者：
Ding, Yong [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
来源：
INFORMATION AND AUTOMATION | 2011年 / 86卷
关键词：
railway transportation; train operation; multi-objective; simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper explores the simulation problem on multi-objective train operation and proposes the calculation model of train performance. A simulation system has been developed suitable for different running conditions and train parameters. As an emphasis, the paper discusses the evaluation model of train operation under fixed running time between given stations and its elicitation. Finally, the paper introduces the system structure, function and interface. The simulator can help train drivers improve their operation skill and speed up learning process of train driving.
引用
收藏
页码：404 / 410
页数：7
相关论文
共 50 条
  • [21] A multi-objective train-scheduling optimization model considering locomotive assignment and segment emission constraints for energy saving
    Hu H.
    Li K.
    Xu X.
    Journal of Modern Transportation, 2013, 21 (1): : 9 - 16
  • [22] A multi-objective train-scheduling optimization model considering locomotive assignment and segment emission constraints for energy saving
    Hui Hu
    Keping Li
    Xiaoming Xu
    Journal of Modern Transportation, 2013, 21 (01) : 9 - 16
  • [23] A multi-objective approach for intermodal train load planning
    Hilde Heggen
    Kris Braekers
    An Caris
    OR Spectrum, 2018, 40 : 341 - 366
  • [24] A multi-objective approach for intermodal train load planning
    Heggen, Hilde
    Braekers, Kris
    Caris, An
    OR SPECTRUM, 2018, 40 (02) : 341 - 366
  • [25] A multi-train movement simulator with moving block signalling
    Ho, MTK
    Mao, BH
    Yang, ZX
    COMPUTERS IN RAILWAYS VI, 1998, 2 : 783 - 792
  • [26] Multi-objective train speed profile determination for automatic train operation with conscious search: A new optimization algorithm, a comprehensive study
    Havaei, Pedram
    Sandidzadeh, Mohammad Ali
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 119
  • [27] Multi-objective Operation Control of Rail Vehicles
    Fan, Yingying
    Cai, Baigen
    Wei Shangguan
    Wang, Jian
    Jiang, Daming
    2013 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2013, : 1265 - 1270
  • [28] Integrated Energy Multi-Objective Operation Optimization
    Liu, Zhao
    Hu, Mengjin
    Zhao, Xianlong
    Wang, Yongli
    Yao, Suhang
    Ma, Yang
    Zhou, Minhan
    Song, Fuhao
    2020 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND BIOENGINEERING (ICEEB 2020), 2020, 185
  • [29] Multi-objective Optimal Multiple Reservoir Operation
    Scola, Luis A.
    Neto, Oriane Magela
    Takahashi, Ricardo H. C.
    Cerqueira, Sergio A. A. G.
    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 1927 - 1933
  • [30] Multi-objective Optimization Improved GA Algorithm and Fuzzy PID Control of ATO System for Train Operation
    Wang, Longda
    Wang, Xingcheng
    Sun, Dawei
    Hao, Hua
    INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II, 2017, 762 : 13 - 22
12345