Research on correction method of traffic simulation model based on linear regression

2010 ◽  
Author(s):  
Liguang Wang ◽  
Zhijie Liu ◽  
Zhijie Liu
Keyword(s):  
Linear Regression ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Correction Method ◽  
Model Based

Research on Pedestrian Stereo Traffic Simulation Model Based on Cellular Automata

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Tao Liu ◽  
WeiHua Zhang ◽  
RanRan Liu ◽  
HuanPing Pang ◽  
WenJuan Huang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Model Based

A Realistic Two-Lanes Traffic Simulation Model Based on Cellular Automata

2014 ◽  
Author(s):  
Hector Guzman ◽  
Maria Larraga ◽  
Luis Alvarez-Icaza ◽  
Fernando Huerta
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Model Based

Research on On-Line Anti-Icing Technology for Carenary along Electrified Railway

2013 ◽  
Vol 676 ◽  
pp. 321-324
Author(s):  
Lei Guo ◽  
Qun Zhan Li
Keyword(s):  
Simulation Model ◽  
Heat Balance ◽  
Normal Operation ◽  
Balance Equations ◽  
Model Based ◽  
Static Var Generator ◽  
On Line ◽  
Electrified Railway ◽  
The Heat Balance

Accidents of icing on catenary have great impacts on normal operation of trains. An on-line anti-icing technology used static var generator (SVG) for catenary was proposed, which can prevent icing formation without interrupting trains normal operation. The heat balance equations for catenary were solved, whose results were compared with data provided by TB/T 3111 and testing show the equation was correct. The simulation model based on Matlab was bulit , whose results and analysis show the correctness of the method.

scholarly journals Model-Based Slippage Estimation to Enhance Planetary Rover Localization with Wheel Odometry

2021 ◽  
Vol 11 (12) ◽  
pp. 5490
Author(s):  
Anna Maria Gargiulo ◽  
Ivan di Stefano ◽  
Antonio Genova
Keyword(s):  
Inertial Measurement Unit ◽  
Correction Method ◽  
Harsh Environments ◽  
Measurement Unit ◽  
Planetary Rovers ◽  
Model Based ◽  
Accurate Knowledge ◽  
And Control ◽  
Wheeled Vehicles ◽  
Rover Localization

The exploration of planetary surfaces with unmanned wheeled vehicles will require sophisticated software for guidance, navigation and control. Future missions will be designed to study harsh environments that are characterized by rough terrains and extreme conditions. An accurate knowledge of the trajectory of planetary rovers is fundamental to accomplish the scientific goals of these missions. This paper presents a method to improve rover localization through the processing of wheel odometry (WO) and inertial measurement unit (IMU) data only. By accurately defining the dynamic model of both a rover’s wheels and the terrain, we provide a model-based estimate of the wheel slippage to correct the WO measurements. Numerical simulations are carried out to better understand the evolution of the rover’s trajectory across different terrain types and to determine the benefits of the proposed WO correction method.

Sign in / Sign up

Export Citation Format

Share Document