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Online since: August 2014
Authors: Hong Dai
Using the algorithm of network traffic analysis and network data traffic safety feature extraction analyze network traffic.
Using feature extraction to analyze network traffic in the process of real network traffic analysis algorithm and the network data traffic safety.
On the one hand, the analysis of characteristics of traffic analyze time domain characteristic of traffic.
Wicom’09. 5th International Conference on, pp. 1~4.2009
WKDD Second International Workshop on, pp.542-545, 2009
Online since: October 2011
Authors: Bao Quan Zhang, Zong Feng Zou
Management of Environmental Quality: An International Journal[M].
China Safety Science Journal, 2006,16(6)
International Journal of Geographical Information Science, 2004, 8(8)
Road Traffic Estimation from Multiple GPS Data Using Incremental Weighted Update[C]. 8th International Conference on ITS Telecommunications, 2008.
Study on intelligent management system for urban traffic safety[J].
Online since: December 2011
Authors: Ping Dong Wu, Ming En Zhong, Jun Qiang Peng
Probability of traffic accidents grows when the driver is under situation of tendency to accidents.
Fig. 1, Internet based shared controlled vehicle Within this model, relatives of drivers, traffic control department and vehicle service providers are allowed, at anytime and anywhere, if necessary (when the driver is under situation of tendency to traffic accidents such as drunk, tired, extreme excitement, etc.), to get involved in the vehicle driving control with the help of private internet server, which ensure the safety of vehicle driving.
We call that as vehicle safety by others, a new concept of vehicle safety technology.
[2] WU Ping-dong, LIN Li-ping: Journal of Beijing Institute of Technology Vol.26 (2006), p.235 [3] ZHONG Ming-en, WU Ping-dong and HUANG Jie: Journal of Beijing Institute of Technology Vol.27 (2007), p.403 [4] Pen Jin-qiang: Research of EEG features in driving (Beijing Institute of Technology Publications, Beijing China 2007)
[5] Huang Jie, Wu Ping-dong, Kitagawa Ato: The Sixth International Conference on Fluid Power Transmission and Control Vol.4 (2005), p.676 [6] ZHONG Ming-en: Research of Internet Based Shared Control System (Beijing Institute of Technology, Beijing China 2008)
Online since: August 2013
Authors: Wei Jun Pan, You Shui Xu
The fusion data on the one hand is further used with object’s complex status and safety logic that have been set in advance to propel the lights, on the other hand, it is projected to the plan of airfield which display the real-time traffic situation for air traffic controller.
ADS-B and SSR monitor traffic in the air[20].
It seems more severe as the amount of air traffic increase fast.
References [1] International civil aviation organization(ICAO).Manual on the Prevention of Runway Incursions,2007 [2] Yizhi Zhou:Journal of Civil Aviation Flight University of China.2010,21(1).32-35(In Chinese) [3] Federal Aviation Aderministrator(FAA).Annual Runway Safety Report 2010.2010 [4] Federal Aviation Aderministrator(FAA).ATO Safety National Runway Plan.2011 [5] David F.Green,Jr.Runway Safety Monitor Algorithm for Runway Incursion Detection and Alerting[R].
Chinese Journal of Computers. 2002,25(3):225-237(In Chinese) [12] Houyun Yu, Weigong Zhang:Journal of Southeast University(Natural Science Edition). 2009,39(5):933-936(In Chinese) [13] BILL Clarke, Hongyuan Zhao (translator).Runway Incursion.China Civil Aviation Press,2005.11(In Chinese) [14] H.V.Sudarshan.Aerodrome Safety.Workshop on the Development of National Performance Framework for Air Navigation Systems.2010.12 [15] Federal Aviation Administration.Airport Diagrams HOT SPOT.2012.11 [16] Sensis Corporation.
Online since: January 2014
Authors: Wei Liang Dai, Hai Tao Cui, Ye Chen, Chao Yang, Qiang Li
As the main traffic vehicle, the bus has a great passenger capacity, can easily bring person wounds or even dies in groups once a traffic accident happens.
That the development of China's bus industry and traffic the safety issues have become increasingly prominent makes the study of the safety issues of the bus structure to be got widespread attention.
International journal of Advanced Manufacturing Technology, pp.1001-1009 [2] Deng Jingtao.
JOURNAL OF HIGHWAY AND TRANSPORTATION RESEARCH AND DEVELOPMENT. 2004, 21(1):94-97
Traffic Safety and Nuisance Research Institute, Ministry of Transport, Japan [8] Priya Prasd, Jamal E.Belwafa.
Online since: July 2014
Authors: Dan Wang, Ji Biao Zhou, Hong Jia Zhu
General lane-changing rule In order to ensure safety, we assume that the vehicle following on the adjacent lane is at full speed.
In addition, the traffic flow density would decrease when traffic flow saturated.
Journal de Physique I. 1992, 2 (12): 2221-2229 [2] Y.
International Journal of vehicular technology. 2011, 2012 (1): 130-136 [8] Q.
Transportation Research Record: Journal of the Transportation Research Board. 2007, 1999 (1): 150-160
Online since: September 2011
Authors: Jian Hua Qu, Xin Sheng Yao, Ji Lai Ying
Then, useful traffic information (e.g. speed, density, volume) can be published, which will help improve safety, efficiency and reliability of the transportation system.
Road traffic real-time status.
Traffic data sampling interval.
Transportation Research Record 1870, pp.55-61, (2004) [7] Zhang, C., Yang, X., Yan, X., Methods for floating car sampling period optimization, Journal of Transportation Systems Engineering and Information Technology, Vol.7 (3), pp.100-104, (2007) (In Chinese) [8] Bejan, A., Gibbens, R., Evans, D., etc.
Statistical modeling and analysis of sparse bus probe data in urban areas, 13th International IEEE Annual Conference on Intelligent Transportation Systems Madeira Island, Portugal (2010), pp. 1256-1263 [9] Travel time data collection handbook, fhwa report, chapter 5, ITS Probe Vehicle Techniques, (1998). http://www.fhwa.dot.gov/ohim/handbook/chap5.pdf
Online since: January 2014
Authors: Jun Du, Fei Zeng, Qing Wu
Due to the scattering impact of atmospheric suspended particles in foggy weather, image captured by outdoor surveillance system is degraded seriously, which influences safety of shipping, aviation and road traffic greatly.
Therefore, it is important to enhance contrast of foggy images to ensure traffic safety.
“Enhancement of color images in poor visibility conditions”, In Proceeding(s) of the 2000 International Conference on Image Processing, pp. 788-791, (2000)
Journal of Dalian Maritime University. 3 (2010) 64-68 (In Chinese)
“The enhancement for foggy traffic image based on EM algorithm”, In Proceeding(s) of the 2009 International Conference on Computational Intelligence and Natural Computing, pp. 261-264, (2009)
Online since: February 2013
Authors: Wei Nan Deng, Hua Xing Zhang
Highway construction represents the developed degree of traffic and even the development level of a country.
[9] Xuyi Yu and Tianhu Dang: Journal of Xi’an University of Science and Technology, vol.26 (1) (2006), p.1-5.
(In Chinese) [10] Xiaoguang Jin, Jianhua Wang, Yong Kang and Xiaohong Li: The Chinese Journal of Geological Hazard and Control.vol.1 (2005), p.93-98.
(In Chinese) [11] Manchao He: An Overpass Method Ensuring Normal and Safe Traffic for Mining UnexploitedCoal under Highway.
(In Chinese) [12] Dekeyser Marc: Tunnels andTunnelling International, vol.21 (6) (1989), p.37-39
Online since: August 2012
Authors: Fei Zhou Zhang, Peng Cheng, Jia Zhou Geng
And it can guarantee the vehicle and passengers’ safety and it is also expandable.
[3] Yu Zheng, Li Jianyong, “The application of multi-agent in traffic control system” Journal of Traffic Engineering, vol. 1(1), 2001, pp. 55-57
[4] Ou Haitao, Zhang Weidong, Zhang Wenyuan, Xu Xiaoming, “The urban intelligent traffic control system based on multi-agent” Journal of Electronics, vol. 28(12), 2000, pp. 52-55
[7] Yang Zhaosheng, Sun Jian ping, Yu Dexin, Cao Lidan, “Optimization of area wide traffic control in the condition of mixed traffic and simulation” Proc. 8th International Conference on Application of Advanced Technologies on Transportation Engineering, 2004
[12] Marco Wiering, Jelle van Veenen, Jilles Vreeken, Arne Koopman, “Multi-agent reinforcement learning for traffic light control” Proc. 17th International Conf. on Machine Learning Intelligent Traffic Light Control, 2004.
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