International Journal of Computational Intelligence Systems

Volume 4, Issue 3, May 2011

Computational Intelligence for Transportation: Driving Safety and Assistance


1. Foreword

Wuhong Wang, Klaus Bengler
Pages: 0 - 0
Review Article

2. Traffic Safety through Driver Assistance and Intelligence

Heiner Bubb
Pages: 287 - 296
Future mobility has to keep the safety level that is already achieved and shall even improve it. This paper reviews the research about driver behavior and assesses how far the work has proceeded in the field of assistance and intelligence, which includes: the vehicle's longitudinal and transversal dynamics,...
Research Article

3. Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model

Wuhong Wang, Yan Mao, Jing Jin, Xiao Wang, Hongwei Guo, Xuemei Ren, Katsushi Ikeuchi
Pages: 297 - 305
The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in...
Research Article

4. Design of DDS based on Hybird-CORDIC Architecture

Xiujie Qu, He Chen, Yubin Zhang, Yingtao Ding
Pages: 306 - 313
Communication technology and its signal processing are basic supportive factors of intelligent transportation system. Because of rapid progress in modern communication engineering, direct digital synthesizer (DDS) is widely used in communications system. However, traditional DDS technology is encountering...
Research Article

5. Multi-Body Dynamics Simulation of A Tracked Vehicle Power Train in Consideration of Multi-Source Excitations

Hui Liu, Shengping Fu, Changle Xiang
Pages: 314 - 320
This study proposed a new efficient method to investigate tracked vehicle gear transmission system dynamics applying Finite element theory and multi-body dynamics. Torsional excitation was simulated based on an engine dynamic model by considering flexibility of crankshaft, maximum fire pressure and variable...
Research Article

6. Videometrics-based Detection of Vibration Linearity in MEMS Gyroscope

Yong Zhou, Haigang Sun, Shiqiao Gao, Shaohua Niu
Pages: 321 - 328
MEMS gyroscope performs as a sort of sensor to detect angular velocity, with diverse applications in engineering including vehicle and intelligent traffic etc. A balanced vibration of driving module excited by electrostatic driving signal is the base MEMS gyroscope's performance. In order to analyze...
Research Article

7. Tolerance-based Structural Design of Tubular-Structure Loading Equipments

Jiping Lu, Shuiyuan Tang, Jianhua Zuo, Hongli Fan, Zhonghua Jian, Shahid Butt
Pages: 329 - 336
Mechanical loading equipments are wildly used in transportation system. Positioning precision is one of the basic functions of machine tools, and structure design is the key to ensuring accuracy. According to the assembly process of tubular-structure, the paper analyzes motion modes to achieve tubular-structure...
Research Article

8. Optimization and Simulation of Machining Parameters in Radial-axial Ring Rolling Process

Shuiyuan Tang, Jiping Lu, Hongli Fan, Ruizhao Du, Zhonghua Jian, Ning Ma
Pages: 337 - 344
Ring rolling is a complicated process, in which rolling parameters influence directly the quality of ring. It is a process method with high productivity and few waste of material, widely used in transportation industry including automotive, shipbuilding, aerospace etc. During the rolling process of large-sized...
Research Article

9. Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier Dawei Li , Lin Chen , Jiangshan Ma

Dawei Li, Lin Cheng, Jiangshan Ma
Pages: 345 - 352
The probability distribution of duration is a critical input for predicting the potential impact of traffic incidents. Most of the previous duration prediction models are discrete, which divide duration into several intervals. However, sometimes the continuous probability distribution is needed. Therefore...
Research Article

10. Simulation Analysis on Driving Behavior during Traffic Sign Recognition

Lishan Sun, Liya Yao, Jian Rong, Jinyan Lu, Bohua Liu, Shuwei Wang
Pages: 353 - 360
The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic...
Research Article

11. Identifying Method of Drunk Driving Based on Driving Behavior

Xiaohua Zhao, Xingjian Zhang, Jian Rong, Jianming Ma
Pages: 361 - 369
Drunk driving is one of the leading causes contributing to traffic crashes. There are numerous issues that need to be resolved with the current method of identifying drunk driving. Driving behavior, with the characteristic of real-time, was extensively researched to identify impaired driving behaviors....
Research Article

12. Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability

Yueying Huo, Wenquan Li, Jinhua Zhao, Shoulin Zhu
Pages: 370 - 377
The attention of driver traveling along a long straight line of prairie highway is easy to be distracted. In this paper, the correlation of straight line length and driver's attention is studied through laboratory simulation experiment and regression analysis. It can be theoretically concluded that the...
Research Article

13. CyberTORCS: An Intelligent Vehicles Simulation Platform for Cooperative Driving

Ming Yang, Nianfeng Wan, Bing Wang, Chunxiang Wang, Jianping Xie
Pages: 378 - 385
Simulation platforms play an important role in helping intelligent vehicle research, especially for the research of cooperative driving due to the high cost and risk of the real experiments. In order to ease and bring more convenience for cooperative driving tests, we introduce an intelligent vehicle...
Research Article

14. Driver Intention Recognition Method Using Continuous Hidden Markov Model

Haijing Hou, Lisheng Jin, Qingning Niu, Yuqin Sun, Meng Lu
Pages: 386 - 393
In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention...
Research Article

15. Improved Intelligent Vehicle Localization Using Magnetic Ruler

Chunxiang Wang, Ming Yang, Bing Wang, Haigui Xu, Hao Li
Pages: 394 - 401
This paper proposes an improved intelligent vehicle localization method, which integrates the data from the odometry and the magnetic ruler(MR). The MR is used to detect the magnetic markers, which provides the absolute positioning reference. The data from odometry and the MR are used to localize the...
Research Article

16. Quantitative Optimization of Workpiece-fixture System's Clamping Forces

Lu Jiping, Zhang Faping, Zuo Jianhua, Qian Hanbo, Ma Ning
Pages: 402 - 409
The paper discusses the stability of workpiece-fixture system and quantitative optimization of clamping forces during precise machining. Based on the force screw theory and the minimum norm principle, a mathematical model is formulated to calculate the entire passive forces acting on the workpiece. Furthermore,...