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During the reconstruction, whether emergency rescue sites can be reasonable layout is very important to efficiency of rescue, the traffic accident casualty rate, economic loss caused by accidents and traffic safety.
When actual traffic greater is, road traffic capacity much poor is, emergency rescue vehicles’ driving speed will be more restricted. 4) The Severity of traffic accident.
Traffic accident can cause traffic jams even interrupted completely, the more serious traffic accident, the bigger influence the traffic flow.
References [1] Gan Chai, Chengwei Fang, Qingquan Liu and Jiaxiang Zhou: Optimal Location of Emergency Rescue Service Site for Road Traffic Accidents[J], China Safety Science Journal Vol. 19 No.10 Oct.2009 [2] Xiaobo Zhu, Zhendong Qian, Zhenbo Lu and Xingfei Shi: Study on Models of Freeway Emergency Rescue Service Site Location[J], Journal of Transportation Engineering and Information Vo1.8 No.4 Dec.2010 [3] Fei Wang: The Research of Highway Traffic Accident Emergency Rescue Time Model and Rescue Site[D], Chongqing Jiaotong University(2009) [4] Masood A, Badri: A multi-objective model for locating fire stations[J], European Journal of Operational Research(1998) 110:243-260 [5] Ines Kanoun, Habib Chabchoub, Belaid Aouni: Goal Programming Model for Fire and Emergency Service facilities site selection[C]．MOPGP’06:7th Int.Conf.on Multi-Objective Programming and Goal Programming(2006) [6] Lianyu Wei, Weizheng Liu and Hongjun Cui: International transportation technology innovation and application
of congress international transportation infrastructure construction and maintenance technology conference(2008) [7] Don Du, Qinghua Pang: modern comprehensive evaluation method and cases selection [M], (2005) Beijing, tsinghua university press

It can provide decision-making suggestions for the sitting of the new bridge and optimal evaluation for bridge type scheme. 1 Introduction Ship safety management in the waters adjacent to the bridges is regarded as the focused problems of the waterborne traffic safety management department, and an important part of the waterborne traffic safety management, which directly correlates to the safety of the staff, bridge, and vessel.
Journal of Academy of Military Transportation, 2008.10(4): 80-83
Morrien(1997)Application of Risk Models in the Assessment of the Effects of Vessel Traffic Management.SAFECO WP II.2.3, Port of Rotterdam and Marine Safety International, Rotterdam b.v., The Netherlands
Offshore Safety Case Approach and Formal Safety Assessment of Ships [J].
Journal of Safety Research, 2002, 33(1):81-115.

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

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)

Introduction It has been recognized by traffic professionals that speed control is one of the most effective strategies to improve both operational efficiency and safety in freeways under congested traffic conditions.
(a) traffic volume.
Kang: Journal of Intelligent Transportation Systems, Vol.8 (2004), p. 155 [3] S.
Kagaya: Journal of the Transportation Research Forum.
Ma: Proc. of the First International Conference on Transportation Engineering.

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.

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].

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.

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)

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